Academy

From zero to productive — master Claude Code fundamentals and start shipping with AI from day one

CC Essentials

Advanced workflows, custom commands, and power-user patterns that 10x your output

CC Pro Flows

Build your first Claude Code plugin — from zero to shareable

CC Plugins Essentials

Free14 min

CC Plugins: Power User

Advanced plugin patterns — hooks, agents, MCP servers, and marketplaces

Free17 min

CC Memory Mastery

Master every persistence layer — CLAUDE.md, auto memory, rules, settings, and hooks — so Claude never forgets

Tame your AI agent spend — model tiers, thinking budgets, caching, and Claude Code settings that cut costs without cutting quality

CC Cost Control

Explore the full AI Engineering Foundations path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

12 chapters

AI Engineering Foundations: Intro

The map of the AI Engineering Foundations skill path — what each chapter teaches, how they fit together, and where to start

Write prompts that work like programs — structured, testable, and consistently effective

Prompt Engineering Craft

Master the art and science of curating optimal context for AI agents

Context Engineering

Constrained decoding, schema engineering, and type-safe AI pipelines

Structured Outputs

RAG Foundations: From Chat to Retrieval

Build the minimum viable RAG pipeline — chunk, embed, store, retrieve, augment, generate — in plain code

Take the retrieval backbone to production — embeddings, chunking strategies, hybrid retrieval, advanced patterns, and evaluation. Assumes RAG Foundations.

RAG Engineering

Fine-Tuning for AI Engineers

When to fine-tune vs RAG vs prompting — SFT, LoRA, dataset prep, and evaluation

Multimodal AI Engineering

Vision, document, PDF, and video processing — build with images and audio, not just text

Build high-quality training and eval datasets — synthetic data, labeling, and curation pipelines

Dataset Engineering

Prompt Caching & Inference Optimization

Prompt caching, KV-cache, batching, speculative decoding, and token budgeting

Context Engineering for Knowledge Systems

Architect knowledge bases that AI agents can navigate, retrieve from, and act upon

Post-Training: DPO, GRPO & RL

Pick the right post-training algorithm — DPO, GRPO, Dr-GRPO, DAPO, KTO, GiGPO — without drowning in research papers

Explore the full Why AI, Why Now, Why You path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

Why AI, Why Now, Why You: Start Here

Orientation across the five-chapter beginner path — why 2026 is the inflection point, why your soft skills are the moat, why you don't have to wait for technical specialists, what real companies are actually doing, and what to do this week

Why 2026 is the year AI quietly stopped being a side project for technical teams and became a daily tool for everyone else — and what doing nothing now actually costs

Why AI Matters Right Now

You Already Have the Right Skills

Judgment, communication, taste, domain expertise — the soft skills you've spent your career building are the moat. Walk through each one with concrete examples of it in action with AI

AI as Non-Technical Enabler

AI closes the gap between non-tech workers and the specialists you used to depend on — data analysts, designers, translators, legal reviewers. Concrete moves you can make without becoming a developer

Augmentation in Real Companies

Six to eight named companies, public numbers, and role-level stories — what Klarna, Shopify, Anthropic itself, and a marketer, salesperson, HR partner, and finance analyst actually did with AI in 2025–26

Pick one tool, three tasks, and a 4-question filter for when AI is the right call — the concrete plan you can start Monday morning, and the explicit handoff to AI Foundations as the next path

What to Do This Week

Explore the full Copilot in Your M365 Apps path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

Per App: Start Here

A 12-minute orientation across the five-app M365 Copilot deep-dive set — Outlook, Word, Excel, PowerPoint, Teams. One grammar (Agent Mode + License/Graph/Labels + verify-before-trust); five surfaces; no required order. Pick the app where your day actually lives

Outlook Copilot Deep Dive

From 47 emails to 5 minutes — agent-mode triage, thread summarization that doesn't lose detail, on-brand drafting, natural-language rules, and the verification habits that keep Copilot honest in your inbox starting Tuesday morning

From blank page to polished doc with Agent Mode (default since April 22, 2026) — prompt-first drafting grounded in your files, brand-voice rewrites that don't sound like a robot, long-form structure that survives partial regeneration, and the four-check verification that keeps Copilot honest in your memos and proposals starting Tuesday morning

Word Copilot Deep Dive

From a 2,000-row export to a board-ready answer in 15 minutes — Agent Mode (default since April 22, 2026), the brand-new =COPILOT() cell function, Python in Excel via natural-language prompts, the seven reliable data cleanups, and the four-check verification habits that keep your numbers honest in spreadsheets starting Tuesday morning

Excel Copilot Deep Dive

PowerPoint Copilot Deep Dive

From a 9am brief to a 4pm board deck — Agent Mode (default since April 22, 2026), the Brand Kit + Template combo that fixes the 'why do my Copilot slides look generic' problem, exact-hex-and-template-name prompts, per-slide refinement that doesn't cascade, and the four-check verification habit that keeps your deck on-brand starting Tuesday morning

From eight hours of meetings to five minutes of catch-up — real-time mid-meeting questions, time-bounded prompts, action items with real owners (not fabricated), the Microsoft Tech Community v1.5 prompt for high-fidelity meeting analysis, and the four-check verification habit that keeps Copilot honest in your meetings starting Tuesday morning

Teams Copilot Deep Dive

Explore the full Claude Cowork Foundations path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

Claude Cowork: Start Here

The orientation chapter — what makes Cowork its own discipline, and how the rest of the skill path is laid out.

Same model, three surfaces, three primary verbs — pick the right one for the task in front of you, and recognize the mid-task moment to switch.

Cowork vs. Claude Code

Free18 min

Cowork Essentials

The day-one chapter — install Cowork, connect three apps, and ship your first delegated deliverable from your filesystem before your coffee gets cold.

Cowork Projects, Plugins & Skills

Three concentric rings of customization — Projects, Skills, Plugins — that turn the generic agent into a workspace shaped to one specific job.

Free24 min

Cowork Pro Flows

Five power features — Dispatch, /schedule, Claude in Chrome, Live Artifacts, and sub-agents — that take you from productive Cowork user to running Cowork like an analyst who automated their job.

The Admin's Cowork Console

The operating manual for the one person at a Team or Enterprise tenant who configures Cowork org-wide — plans, identity, Memory policy, plugin marketplace, audit and compliance.

Explore the full Coding Agents Landscape path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

AI Coding Agents

Master the AI coding agents that are reshaping development — Claude Code, OpenAI Codex, Google Gemini CLI, Cursor, and the workflow craft that makes them effective

Coding Agents Landscape

FoundationsEngineer

A 2026 survey of every major AI coding agent — Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, Cursor — with side-by-side comparison and decision frame for picking your stack.

7 chapters ~2.5 hr

Earn a Certificate of Completion

Coding Agents Landscape

7 chapters · ~2.5 hr

Free

Claude Code

PractitionerEngineer

From first steps to power-user — master Claude Code inside and out

7 chapters ~2 hr

Earn a Certificate of Completion

Claude Code

7 chapters · ~2 hr

Claude Code: Agents Orchestration

AdvancedEngineer

Multiply yourself across many Claude Code agents — subagents, worktrees, background sessions, agent teams, and dynamic workflows, and the judgment to pick the right one for the work in front of you

6 chapters ~2 hr

Earn a Certificate of Completion

Claude Code: Agents Orchestration

6 chapters · ~2 hr

OpenAI Codex

PractitionerEngineer

Master OpenAI's coding agent — CLI, desktop app, IDE extension, and cloud tasks

5 chapters ~1.5 hr

Earn a Certificate of Completion

OpenAI Codex

5 chapters · ~1.5 hr

Gemini CLI

PractitionerEngineer

Master Google's terminal AI coding agent — 1M-token context, subagents, extensions, and the Jules async bridge

5 chapters ~1.5 hr

Earn a Certificate of Completion

Gemini CLI

5 chapters · ~1.5 hr

GitHub Copilot

PractitionerEngineer

Master GitHub Copilot end-to-end — chat, inline, edits, Workspace, PR review, custom instructions, extensions, memory, and enterprise governance

6 chapters ~2 hr

Earn a Certificate of Completion

GitHub Copilot

6 chapters · ~2 hr

Cursor

PractitionerEngineer

Cursor IDE mastery — AI-native code editing, multi-file context, agent mode, and integration with your development workflow.

7 chapters ~2.5 hr

Earn a Certificate of Completion

Cursor

7 chapters · ~2.5 hr

Coding Agent Craft

PractitionerEngineer

The cross-vendor patterns and craft that make any coding agent — Claude Code, Codex, Gemini — produce reliable, mergeable output

10 chapters ~3.5 hr

Earn a Certificate of Completion

Coding Agent Craft

10 chapters · ~3.5 hr

7 chapters

Coding Agents Landscape: Start Here

A 12-minute orientation to five coding agents whose feature lists have converged near 1M context — so the real decision is fit, not capability.

Anthropic's terminal-native coding agent — architecture, 1M-token context, permissions, cost model, and honest trade-offs for engineering managers evaluating their options.

Claude Code Overview

OpenAI's async-first coding agent — CLI and cloud task architecture, sandboxed execution, permissions model, cost structure, and honest trade-offs for engineering managers evaluating their options.

OpenAI Codex Overview

Google's open-source terminal agent — being sunset for consumer, Pro, and Ultra users on 18 June 2026 in favor of the closed-source Antigravity CLI.

Gemini CLI Overview

Microsoft/GitHub's IDE-native coding assistant ecosystem — surfaces, architecture, context handling, permissions, cost model, and honest trade-offs for engineering managers evaluating their options.

GitHub Copilot Overview

The AI-native IDE that forks VS Code and weaves multiple models into every editing surface — architecture, context handling, permissions, cost model, and honest trade-offs for engineering managers evaluating their options.

Cursor Overview

A decision framework for engineering managers evaluating coding agents — dimensions that matter, team archetypes, multi-agent strategies, and rollout playbook.

Picking the Right Agent

A 12-minute orientation to the Claude Code skill path — why it exists, what you'll be able to do, how the chapters relate, and where to begin

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

7 chapters

Explore the full Claude Code path

Claude Code: Start Here

From zero to productive — master Claude Code fundamentals and start shipping with AI from day one

CC Essentials

Advanced workflows, custom commands, and power-user patterns that 10x your output

CC Pro Flows

Build your first Claude Code plugin — from zero to shareable

CC Plugins Essentials

Free14 min

CC Plugins: Power User

Advanced plugin patterns — hooks, agents, MCP servers, and marketplaces

Free17 min

CC Memory Mastery

Master every persistence layer — CLAUDE.md, auto memory, rules, settings, and hooks — so Claude never forgets

Tame your AI agent spend — model tiers, thinking budgets, caching, and Claude Code settings that cut costs without cutting quality

CC Cost Control

Explore the full Claude Code: Agents Orchestration path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

Agents Orchestration: Start Here

A 12-minute orientation to the orchestration skill path — why it exists, what you'll be able to do, how the five chapters relate, and where to begin.

The cheapest way to multiply yourself in Claude Code — a worker with its own context, tools, and model that hands back only the answer.

Subagent Delegation

The git substrate that lets many Claude sessions edit the same repo at once without ever clobbering each other's files.

Parallel Worktrees

Hand whole tasks off to Claude sessions that run without you, and watch them all from one board you only touch when a row needs you.

Background Agents

The first surface where the workers talk to each other — a lead that holds the plan, teammates who share a task list and message directly.

Agent Teams

When orchestration outgrows a conversation, hand the plan to a script — and let it cross-check its own work before it answers you.

Dynamic Workflows

Orientation to the Codex skill path — what it is, how the four chapters fit together, and where to start

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

5 chapters

Explore the full OpenAI Codex path

Codex Skill Path: Intro

From zero to productive — master OpenAI's coding agent across CLI, app, IDE, and cloud

Codex Essentials

Skills, subagents, cloud tasks, and power-user patterns that maximize your Codex output

Codex Pro Flows

Govern Codex spend across CLI and Cloud — model routing, reasoning effort, ChatGPT tiers, per-task pricing, and caching that actually pays off

Codex Cost Control

Design persistence for Codex across CLI, IDE, desktop, and Cloud — every layer that decides what survives between tasks

Codex Memory Mastery

Gemini CLI Skill Path: Intro

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

5 chapters

Explore the full Gemini CLI path

Orientation to the Gemini CLI skill path — what it is, how the chapters fit together, and where to start

Master Google's open-source terminal AI coding agent — auth, approval modes, Plan Mode, and GEMINI.md

Gemini CLI Essentials

Subagents, extensions, worktrees, and the Jules handoff — the April 2026 power-user toolkit for Gemini CLI

Gemini CLI Pro Flows

Govern Gemini spend across CLI, Vertex, AI Studio, Code Assist, and Jules — 1M-context economics, Pro vs Flash routing, billing-surface choices, and budget governance

Gemini CLI Cost Control

Gemini CLI Memory Mastery

Design persistence for Gemini across CLI, parallel subagents, and Jules — GEMINI.md hierarchy, 1M-context strategies, Vertex AI Memory Bank, and async-task continuity

Explore the full GitHub Copilot path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

GitHub Copilot: Start Here

A 12-minute orientation to the GitHub Copilot skill path — what each chapter teaches, how they connect, and where to begin

GitHub Copilot Essentials — Chat, Inline, Edits

Master the three core interaction modes every GitHub Copilot user needs — inline completions, Chat panel, and Edits mode

GitHub Copilot Workspace & PR Review

From issue to merged PR — master the platform-level AI flows that extend Copilot beyond the editor

GitHub Copilot Pro Flows — Custom Instructions, Skills, Extensions

Configure Copilot for your team, extend it with MCP and Extensions, and unlock agent mode, multi-model selection, and vision

GitHub Copilot Memory & Context Files

Master every persistence layer — copilot-instructions.md, path-level .instructions.md, prompt files, knowledge bases, and context references — so Copilot learns your codebase permanently

GitHub Copilot Admin & Compliance

Govern Copilot at enterprise scale — policies, content exclusion, IP indemnity, audit logs, license management, and the compliance posture that lets legal say yes

A 12-minute orientation to the Cursor skill path — what it is, what you'll be able to do, how the chapters relate, and where to begin.

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

7 chapters

Explore the full Cursor path

Cursor: Start Here

Cursor Team Rules & Pro Flows

Project rules, team rules, AGENTS.md, skills, hooks, and the pro workflows that make Cursor a team-wide platform.

Cursor Admin & Compliance

Privacy mode, SOC 2, SSO, SCIM provisioning, usage analytics, model governance, and enterprise deployment patterns.

Cursor Codebase Indexing & Context

How Cursor understands your entire codebase — indexing, @-mentions, .cursorignore, and the context window budget.

Cursor Essentials — Tab Completion & Chat

Master the two features you'll use every minute — Tab's predictive edits and Chat's contextual Q&A.

Connect Cursor to external tools via the Model Context Protocol (MCP) — databases, APIs, browsers, and custom integrations.

Cursor Extensions & MCP

Cursor Composer & Edit Flows

Multi-file generation, Agent execution, checkpoints, and the edit workflows that turn ideas into shipped code.

Explore the full Coding Agent Craft path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

10 chapters

Coding Agent Craft: Start Here

Orientation to the Coding Agent Craft skill path — the cross-vendor patterns that make any coding agent reliable, and where to start based on your current pain

AI-Assisted Dev Workflows

Architect your codebase and workflow for maximum AI collaboration

Advanced git techniques for AI engineers — worktrees, bisect, reflog — each with agent workflows

Git Power Moves

Agent-Native Repositories & Cross-Vendor Standards

Make one file work across Claude Code, Codex, Gemini CLI, Cursor, and Copilot — the cross-vendor spec, hierarchy, and migration audit for agent-native repositories

Pick Your Coding Agent: Claude Code vs Codex vs Gemini CLI

Honest, benchmark-cited decision guide for picking — and switching between — the three terminal coding agents reshaping dev work in 2026

Spec-Driven Development with Coding Agents

Make the spec your source of truth — run the Spec Kit pipeline across Claude Code, Codex, and Gemini CLI and regenerate code from evolving specs

Debugging with Coding Agents

Frame bugs, read errors, bisect regressions, and find root causes fast — with any coding agent as your debugging partner

Multi-Session Coding Agent Patterns

Coordinate multiple coding-agent sessions as peers — shared tasks, mailboxes, and the decision tree for picking teams vs subagents vs parallel sessions

Coding Agent Business Engines

Wire any coding agent into CI/CD and ops — automated pipelines, scheduled jobs, and business workflows end-to-end

Roll out coding agents across a team — pilot to org, SSO patterns, cost governance, shared conventions, sandboxing, and enterprise graduation. Cross-vendor.

Coding Agents for Teams

Explore the full AI Engineering Foundations path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

AI Engineering: Foundations

Build AI systems — foundational techniques, agent frameworks, specialized archetypes, and edge deployment

Free

AI Engineering Foundations

PractitionerEngineer

Core techniques — context, retrieval, structured outputs, fine-tuning, and multimodal

12 chapters ~4.5 hr

Earn a Certificate of Completion

AI Engineering Foundations

12 chapters · ~4.5 hr

Agent Frameworks

PractitionerEngineer

Master the APIs and agent frameworks from OpenAI and Anthropic — from raw API calls to production agent systems

9 chapters ~3 hr

Earn a Certificate of Completion

Agent Frameworks

9 chapters · ~3 hr

Agent Engineering

PractitionerEngineer

Agent primitives — tool use, memory, skills, MCP, retrieval, and failure recovery

8 chapters ~2.5 hr

Earn a Certificate of Completion

Agent Engineering

8 chapters · ~2.5 hr

Specialized Agents

AdvancedEngineer

Production-ready agent archetypes — deep research, browser and computer use, voice, and scheduled autonomous ops

5 chapters ~1.5 hr

Earn a Certificate of Completion

Specialized Agents

5 chapters · ~1.5 hr

Agent Infrastructure

AdvancedEngineer

The runtime substrate — sandboxing, interop protocols, memory backends, and orchestration primitives that production agents depend on

3 chapters 54 min

Earn a Certificate of Completion

Agent Infrastructure

3 chapters · 54 min

On-Device & Edge AI

AdvancedEngineer

Ship AI where the user is — Apple Foundation Models, Gemini Nano, MLX, distillation, and edge deployment patterns

4 chapters ~1.5 hr

Earn a Certificate of Completion

On-Device & Edge AI

4 chapters · ~1.5 hr

Run an LLM on Your Own Machine

FoundationsEngineer

Run a capable LLM on the computer you already own — pick a tool, fit a model to your hardware, serve it to real projects, and upgrade smartly when you outgrow it.

7 chapters ~2 hr

Earn a Certificate of Completion

Run an LLM on Your Own Machine

7 chapters · ~2 hr

12 chapters

AI Engineering Foundations: Intro

The map of the AI Engineering Foundations skill path — what each chapter teaches, how they fit together, and where to start

Write prompts that work like programs — structured, testable, and consistently effective

Prompt Engineering Craft

Master the art and science of curating optimal context for AI agents

Context Engineering

Constrained decoding, schema engineering, and type-safe AI pipelines

Structured Outputs

RAG Foundations: From Chat to Retrieval

Build the minimum viable RAG pipeline — chunk, embed, store, retrieve, augment, generate — in plain code

Take the retrieval backbone to production — embeddings, chunking strategies, hybrid retrieval, advanced patterns, and evaluation. Assumes RAG Foundations.

RAG Engineering

Fine-Tuning for AI Engineers

When to fine-tune vs RAG vs prompting — SFT, LoRA, dataset prep, and evaluation

Multimodal AI Engineering

Vision, document, PDF, and video processing — build with images and audio, not just text

Build high-quality training and eval datasets — synthetic data, labeling, and curation pipelines

Dataset Engineering

Prompt Caching & Inference Optimization

Prompt caching, KV-cache, batching, speculative decoding, and token budgeting

Context Engineering for Knowledge Systems

Architect knowledge bases that AI agents can navigate, retrieve from, and act upon

Post-Training: DPO, GRPO & RL

Pick the right post-training algorithm — DPO, GRPO, Dr-GRPO, DAPO, KTO, GiGPO — without drowning in research papers

Explore the full Agent Frameworks path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

9 chapters

Agent Frameworks: Start Here

A 12-minute orientation to the Agent Frameworks skill path — what each chapter teaches, how they relate, and where to start

Agent Frameworks: The Landscape

Navigate the API-to-agent stack across OpenAI and Anthropic — understand the layers before you build

Master both the Responses API and Chat Completions — understand when to use each and how to migrate

OpenAI API Mastery

Master the Messages API, tool use, extended thinking, and prompt caching — build with Claude from first principles

Anthropic API & SDK

Build multi-agent systems with guardrails, handoffs, and tracing — OpenAI's framework for autonomous AI

OpenAI Agents SDK

Build autonomous agents with Anthropic's framework — the same engine that powers Claude Code, as a library you control

Claude Agent SDK

Production Agent Workflows

Ship multi-agent systems that integrate with real tools, scale in containers, and verify their own work

Agent Testing & Evaluation

Mock tools, trace decisions, build golden datasets, and run agent tests in CI/CD — testing for non-deterministic AI systems

LangGraph & Multi-Framework Agents

Read, debug, and ship across LangGraph, CrewAI, and AutoGen — the three frameworks you'll meet in customer code

Explore the full Agent Engineering path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

8 chapters

Agent Engineering: Start Here

A 12-minute orientation to the Agent Engineering skill path — primitives for tool use, memory, skills, retrieval, and failure recovery

Build the smallest possible agent — one model, one tool, one memory slot — and see exactly what makes the loop tick

Your First AI Agent

Tool use, ReAct loops, multi-agent orchestration, and guardrails for reliable agent systems

Agentic Patterns

Design memory systems that give AI agents continuity across sessions

Agent Memory & State

Connect Claude to your tools using the Model Context Protocol

MCP with Claude Code

Master the art and science of building Agent Skills — reusable instruction packages that teach AI agents your workflows

Mastering Agent Skills

Build agents that plan, retrieve, self-correct, and route across knowledge sources

Agentic RAG

Build agents that survive tool failures, runaway loops, and cascading errors — with retry, circuit breakers, and human escalation

Agent Failure & Recovery

Explore the full Specialized Agents path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

5 chapters

Specialized Agents: Start Here

A 12-minute orientation to the Specialized Agents skill path — four agent archetypes, when to pick each, and what makes them fail

Master the plan-execute-synthesize archetype behind ChatGPT, Gemini, Perplexity, and Claude deep research — and know when not to use it

Deep Research Agents

Computer Use & Browser Agents

Build AI agents that see, click, and control desktop environments

Voice & Conversational AI

Real-time voice agents — streaming audio, turn-taking, telephony, and emotion-aware delivery

Scheduled & Remote AI Agents

Architect always-on agents that run on cron schedules, fire on webhooks, and execute autonomously with human gates

Explore the full Agent Infrastructure path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

3 chapters

Agent Infrastructure: Start Here

A 12-minute orientation to the Agent Infrastructure skill path — the substrate beneath production agents and the two protocols you have to get right

Agent Interop with A2A & MCP

Build agents that talk to other agents — A2A, signed agent cards, secure delegation, and multi-framework bridges

Sandboxed Agent Execution

Pick the right isolation primitive — E2B, Modal, or Daytona — for agents that run untrusted code

Explore the full On-Device & Edge AI path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

4 chapters

On-Device & Edge AI: Start Here

A 12-minute orientation to the On-Device & Edge AI skill path — the three platforms where your model can run without a cloud round-trip, and how to pick yours

Apple Foundation Models for Swift Developers

Ship a capable ~3B LLM inside your iOS app — guided generation, tool calling, and when to still reach for Claude

Gemini Nano and AICore on Android

Ship on-device AI to 140M+ Android devices — AICore as a shared system service, ML Kit GenAI APIs, and Gemma 4 agentic intelligence

MLX in Practice: Local Inference on Apple Silicon

Run arbitrary open models on your Mac — unified memory, JANG quantization, Ollama + MLX, and the honest limits of a single-user inference node

Explore the full Run an LLM on Your Own Machine path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

7 chapters

Run an LLM on Your Own Machine: Start Here

The map of this path — why running models locally is worth it, how the six chapters build on each other, and where to begin.

13 min

Why Run an LLM Locally

The model on your own machine is weaker than the frontier — and that trade is worth making more often than you'd think.

The Tools That Run Models

Four friendly front doors, one shared engine underneath — so the choice is about comfort, not capability.

Hardware & Quantization Reality

One number decides whether a model runs on your machine — and one trick lets you bend it.

Your hardware already narrowed the field — now choose by the job and read the license before you commit.

Pick Your Local Model

Serve a Model to Your App

Local models speak the same language as the cloud — so wiring one into your code is mostly changing a single line.

Build a Better Home Machine

Outgrew your hardware? The upgrade is one number — grow the right kind of memory, and a whole model class opens up.

Explore the full Production AI path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

AI Engineering: Reliability & Trust

Ship, validate, and govern AI systems — production ops, code + E2E testing, evals, red-teaming, and compliance

Production AI

PractitionerEngineer

Ship and operate — testing, security, cost, streaming, system design, and UX

11 chapters ~4 hr

Earn a Certificate of Completion

Production AI

11 chapters · ~4 hr

Code Testing for Agentic Dev

PractitionerEngineer

Static analysis, coverage, mutation, AI-driven test generation, pre-commit hooks, and property-based testing — the feedback loops that keep Claude Code and Codex honest

7 chapters ~2.5 hr

Earn a Certificate of Completion

Code Testing for Agentic Dev

7 chapters · ~2.5 hr

E2E & Multimodal AI Testing

PractitionerEngineer

Test what users experience — Playwright, agentic browser QA, LLM-powered visual and audio testing, and test infrastructure at scale

6 chapters ~2 hr

Earn a Certificate of Completion

E2E & Multimodal AI Testing

6 chapters · ~2 hr

LLM Evaluation

AdvancedEngineer

Evaluation as a discipline — from your first eval to LLM-as-judge rigor, eval suites at scale, and CI gating for production AI

5 chapters ~1.5 hr

Earn a Certificate of Completion

LLM Evaluation

5 chapters · ~1.5 hr

Adversarial AI

AdvancedEngineer

Defend and red-team your AI — prompt-injection foundations, defense-in-depth, attack taxonomy, automated jailbreak tooling, and context poisoning for production systems

5 chapters ~1.5 hr

Earn a Certificate of Completion

Adversarial AI

5 chapters · ~1.5 hr

AI Governance & Compliance

AdvancedNon-tech

Operationalize trust — EU AI Act, model cards, audit trails, alignment regression testing, and incident response

7 chapters ~2.5 hr

Earn a Certificate of Completion

AI Governance & Compliance

7 chapters · ~2.5 hr

11 chapters

Production AI: Intro

The map of the Production AI skill path — what each chapter teaches, how they fit together, and where to start

Build eval suites, catch regressions, and ship AI features with confidence

AI Testing & Evals

Deploy, monitor, and operate AI systems that stay reliable at scale

LLMOps in Production

AI Observability & Agent Tracing

Instrument, debug, and optimize multi-step AI agents in production

Protect AI applications — from prompt injection defense to EU AI Act compliance

AI Security & Guardrails

Master token economics, model routing, and budget governance to run AI sustainably

AI Cost & Model Strategy

SSE, WebSockets, partial JSON parsing, streaming tool calls, and responsive AI interfaces

Streaming & Real-Time AI

Architect reliable, scalable AI-native applications for production

AI System Design

Design AI features users actually trust — confidence indicators, graceful failures, and human-in-the-loop

AI UX Patterns

Model Migration & Multi-Provider

Prepare for model deprecations, build abstraction layers, and route across providers with confidence

Why k6 and Locust lie about streaming LLMs — TTFT, ITL, goodput, GPU saturation, and SLO-gated load tests that actually predict production

Load Testing AI Systems

Explore the full Code Testing for Agentic Dev path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

7 chapters

Code Testing for Agentic Dev: Start Here

A 12-minute orientation to the Code Testing skill path — the five feedback layers that keep Claude Code and Codex honest, and the order to learn them in

Test strategy, the testing trophy, and writing automated tests that actually catch bugs

Testing Foundations

Static Analysis for Agentic Development

Wire Ruff, Biome, Pyrefly, ty, Semgrep, and CodeQL as sub-second feedback sources for Claude Code and Codex

Pre-Commit Guardrails for AI Agents

Wire format, lint, type-check, and test into a layered hook stack that forces Claude Code and Codex to fix before they commit

Coverage & Mutation Testing

The two-tool feedback loop — coverage shows where tests are missing, mutation shows whether the tests you have actually catch bugs

AI-Driven Test Generation

From one-shot prompts to feedback-driven loops — drive, supervise, and review the systems that now write your tests

28 min

Property-Based & Fuzz Testing

Move past hand-picked examples — specify invariants, let generators hunt counterexamples, and pair the discipline with agents that propose the properties you missed

Explore the full E2E & Multimodal AI Testing path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

E2E & Multimodal AI Testing: Start Here

A 12-minute orientation to the E2E & Multimodal Testing skill path — the four senses QA needs when agents ship multimodal products, and the order to learn them in

Master browser testing with Playwright — locators, assertions, debugging, and cross-browser automation

Playwright Essentials

AI agents that browse, click, and test — Playwright MCP, Test Agents, and autonomous QA workflows

Agentic AI Testing

Screenshots meet LLM vision — semantic visual QA, vibe checks, design fidelity, and intelligent visual regression

Visual AI Testing

Test what users hear — voice bot QA, audio quality analysis, speech pipeline testing, and multimodal CI

Voice & Audio Testing

Test Infrastructure at Scale

CI/CD pipelines, sharding, test observability, and AI-powered orchestration for production-grade testing

Explore the full LLM Evaluation path

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5 chapters

Advanced Evals & LLM Judges: Start Here

A 12-minute orientation to the Advanced Evals skill path — judges, suites, and gates: the three layers that turn eval-by-vibes into a discipline that ships

Eval Foundations: Your First LLM Eval in 30 Minutes

Stop checking outputs by vibes — build a runnable eval with a golden dataset, deterministic scorer, and LLM judge, and read the result like an engineer

LLM-as-Judge: Rubrics, Bias, and Reliability

Design judges that survive CALM biases, calibrate against humans, and earn a place in your CI gate

Inspect AI: Production Eval Suites at Scale

Author, run, and visualize frontier-grade eval suites with UK AISI's open-source framework

Eval Gating in CI: Blocking Bad Merges

Wire per-PR evals into GitHub Actions, pick thresholds that survive flakiness, and decide when a gate belongs on main

Explore the full Adversarial AI path

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5 chapters

Adversarial AI: Start Here

Orientation across the four-chapter Adversarial AI skill path — defender → threat-surface → offense → program — covering everything from your first prompt-injection patch to running an internal red-team practice

Prompt Injection Defense Foundations

Why prompt injection exists, how attackers exploit it, and the layered defense every LLM-powered feature needs before shipping

Context Poisoning & Indirect Injection

Map and defend the agent-era attack surface — RAG poisoning, document-borne payloads, memory poisoning, and tool-output hijacking that direct-injection defenses don't reach

Automated Jailbreak Tooling

Stand up automated offensive tooling for AI red-teaming — DeepTeam, PyRIT, Mindgard; attacker LRMs and BYO-attacker pattern; PAIR, TAP, GCG algorithms; and trajectory caching that turns expensive discovery into cheap CI gates

AI Red Teaming & Adversarial Evaluation

Run a red-team program for production AI — taxonomy, the finding lifecycle, runtime monitoring, alignment regression, and the internal playbook

Explore the full AI Governance & Compliance path

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7 chapters

AI Governance & Compliance: Start Here

A 12-minute orientation to the AI Governance & Compliance skill path — the rules, the evidence, and the response that turn "we should be compliant" into a program regulators accept

EU AI Act in Practice: GPAI Obligations

Ship compliant general-purpose AI before 2 Aug 2026 — scope, tech docs, copyright, systemic risk, and the Code of Practice shortcut

Model Cards and Audit Trails That Survive Regulators

Produce audit-ready model cards and signed, immutable logs that tie every output to its source, model version, and policy

AI Incident Response: From Detection to Recovery

Handle the 3am page — detect AI failures, contain blast radius, file Article 62 reports on time, and turn post-mortems into hardening

Navigate the fragmented US AI regulatory landscape — NIST AI RMF, state-level laws, post-EO federal posture, and enforcement actions that set precedent

US AI Compliance Survey

UK and Global AI Compliance

Map the compliance terrain beyond the EU and US — UK AISI, OECD AI Principles, ISO/IEC 42001 certification, and the frameworks shaping AI governance worldwide

Industry-Specific AI Compliance

Comply with sector regulators — HIPAA for healthcare AI, FDA for medical devices, FINRA for financial services, and PCI-DSS for payment systems

Explore the full Machine Learning path

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ML Engineering

Build models from scratch — classical machine learning with sklearn, then deep learning with PyTorch and TensorFlow. The model-building track, complement to the agent-systems work in AI Engineering.

Machine Learning

PractitionerEngineer

Classical machine learning fundamentals — algorithm selection, data preprocessing, exploratory analysis, feature engineering, model selection, and the sklearn algorithm families.

7 chapters ~2.5 hr

Earn a Certificate of Completion

Machine Learning

7 chapters · ~2.5 hr

Deep Learning

AdvancedEngineer

Deep learning in production — DL frameworks (PyTorch + TensorFlow), training techniques, vision tasks and CNNs, building from scratch vs transfer learning, and modern architectures.

7 chapters ~2.5 hr

Earn a Certificate of Completion

Deep Learning

7 chapters · ~2.5 hr

7 chapters

Data Splitting — Train / Validation / Test the Right Way

Learn why a three-way split is non-negotiable, how to choose ratios, preserve structure, respect time, and prevent the leakage that makes models look great in notebooks but fail in production.

Best Practices for Model Selection — Match Algorithm to Data + Objective

Learn the systematic process for choosing the right ML algorithm: baseline first, match to data characteristics, validate with cross-validation, and know when to ship.

Machine Learning: Start Here

The orientation map for the Machine Learning path — why these six chapters live together, what you will be able to do after completing them, and where to begin.

Algorithm Overview — sklearn Families, When to Reach for Each

Map each ML problem type to the concrete algorithm families in scikit-learn — linear models, trees, SVMs, ensembles, and more — so you pick the right tool before you write a line of code.

Data Cleaning & Feature Engineering

Missing values, outliers, scaling, encoding, and pipeline assembly — turn raw EDA findings into model-ready features.

Exploratory Data Analysis — Distributions, Correlations, Anomalies

Master the systematic investigation of datasets before modeling — distributions reveal shape, correlations reveal signal, and anomalies reveal what needs fixing.

ML Problem Types — Classification, Regression, Clustering

Learn to identify whether your business question demands a classifier, a regressor, or a clustering algorithm — the decision that shapes every downstream choice.

Explore the full Deep Learning path

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7 chapters

DL Frameworks: PyTorch and TensorFlow

A decision guide to the two dominant deep learning frameworks — their philosophies, ecosystems, and the practical factors that should drive your choice.

Building from Scratch vs Transfer Learning

The first strategic decision after choosing deep learning: train a new network from zero or stand on the shoulders of pretrained giants.

DL vs ML: When Depth Wins

A decision framework for choosing between Deep Learning and classical Machine Learning — based on your data, compute, timeline, and interpretability needs.

Deep Learning: Start Here

A 12-minute orientation to the Deep Learning skill path — why it exists, what you will build, how the six chapters connect, and where to begin.

Image classification, object detection, and segmentation — pick the right computer vision task before you pick an architecture.

Vision Task Types

Training Techniques for Deep Learning

The full toolkit for training neural networks — batch size, learning rates, loss functions, activations, optimizers, regularization, and early stopping.

CNNs (Convolutional Neural Networks)

Design, train, and interpret the architecture that powers modern computer vision — from first convolution to production deployment.

Explore the full Why AI, Why Now, Why You path

Certificate

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AI for Business Professionals

Orient to the AI space and master the tools — literacy, vocabulary, daily workflows with Copilot, ChatGPT, and Claude, and building digital products with AI as your team

Free

Why AI, Why Now, Why You

FoundationsNon-tech

For workers who hear 'AI' daily and aren't sure why — your soft skills are the moat and you don't have to wait for technical specialists anymore

6 chapters ~1.5 hr

Earn a Certificate of Completion

Why AI, Why Now, Why You

6 chapters · ~1.5 hr

AI Foundations

FoundationsNon-tech

Orient, understand, and use AI — vocabulary, mechanism, judgment, daily-practice habits, and prompt persistence that make AI useful in real work, regardless of your role

8 chapters ~2.5 hr

Earn a Certificate of Completion

AI Foundations

8 chapters · ~2.5 hr

What Are AI Agents?

FoundationsNon-tech

A non-technical introduction to AI agents — what they are, how they work, where you already use them, when they fail, and how to work alongside them effectively.

6 chapters ~1.5 hr

Earn a Certificate of Completion

What Are AI Agents?

6 chapters · ~1.5 hr

Your Daily AI Toolkit

FoundationsNon-tech

The daily AI toolkit for knowledge workers — pick your tool stack, run document and deck workflows, master email and meeting comms, conduct cited research, and route every job to the surface where it actually belongs

6 chapters ~2 hr

Earn a Certificate of Completion

Your Daily AI Toolkit

6 chapters · ~2 hr

Copilot for Business

PractitionerNon-tech

Master Microsoft Copilot across M365 — from first steps to power-user workflows for non-technical teams

5 chapters ~1.5 hr

Earn a Certificate of Completion

Copilot for Business

5 chapters · ~1.5 hr

AI Coding for Beginners

FoundationsNon-tech

The bridge from knowledge-worker AI use to building real things with AI — custom assistants, automations, vibe-coding, and the failure modes you'll meet, no developer experience required

7 chapters ~2.5 hr

Earn a Certificate of Completion

AI Coding for Beginners

7 chapters · ~2.5 hr

AI Digital Product Building

PractitionerNon-tech

Build digital products with AI as your team — restructure development around AI, ship features in hours, run agentic pipelines, and operate at startup-scale output as a one-person product empire.

5 chapters ~1.5 hr

Earn a Certificate of Completion

AI Digital Product Building

5 chapters · ~1.5 hr

Open-Source AI Models: Literacy & Landscape

FoundationsNon-tech

Read the open-weight AI model market like a strategist — who leads, what the licenses really permit, how to access them, and who to bet on.

7 chapters ~2 hr

Earn a Certificate of Completion

Open-Source AI Models: Literacy & Landscape

7 chapters · ~2 hr

6 chapters

Why AI, Why Now, Why You: Start Here

Why 2026 is the year AI quietly stopped being a side project for technical teams and became a daily tool for everyone else — and what doing nothing now actually costs

Why AI Matters Right Now

You Already Have the Right Skills

Judgment, communication, taste, domain expertise — the soft skills you've spent your career building are the moat. Walk through each one with concrete examples of it in action with AI

AI as Non-Technical Enabler

Augmentation in Real Companies

Pick one tool, three tasks, and a 4-question filter for when AI is the right call — the concrete plan you can start Monday morning, and the explicit handoff to AI Foundations as the next path

What to Do This Week

Explore the full AI Foundations path

Certificate

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8 chapters

AI Foundations: Start Here

Orientation across the AI Foundations skill path — vocabulary, mechanism, judgment, daily-practice habits, and prompt persistence, with judgment-depth chapters on reading and building AI benchmarks, plus five paths through based on where you're starting from

A decoder ring for every AI concept — what it means, which shelf it goes on, and the next question to ask

AI Concepts Decoded

How AI Actually Works (For Curious Humans)

The machine under the magic — tokens, embeddings, attention, and prediction, explained without math

Five patterns, four surfaces, and a 7-day plan that turns ChatGPT or Claude into a daily co-worker by the end of week one

Your First Week with AI

AI Judgment: When to Trust, When to Verify

Spot the three failure modes, run a 30-second verify, and build the daily habit that keeps AI useful instead of dangerous

Stop retyping the same context every chat — configure ChatGPT Custom Instructions, Claude Projects, and Gemini Gems as your persistent prompt library, and recognize when a long chat has stopped serving you

Your Modern Prompt Stack

Understanding AI Benchmarks

Decode the percentages every vendor cites — what they measure, what they hide, and how to read a model report card without an engineering degree

Does AI Work For Your Job? Measure It

Design and run a mini-benchmark on your own data to decide whether AI is really ready for a real task — no code required

Explore the full What Are AI Agents? path

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6 chapters

What Are AI Agents? Start Here

A 10-minute orientation across the five-chapter beginner path — what agents are, how they work, where you already use them, when they fail, and how to work alongside them

10 min

From Chatbot to Agent: What Changed

The mental model shift from AI that answers questions to AI that does work — explained through everyday workplace scenarios, no code required

The Building Blocks: Tools, Memory, and Goals

The three ingredients that turn a chatbot into an agent — tools it can use, memory it can draw on, and goals it can pursue — explained through workplace analogies

Agents You're Already Using

A tour of AI agents you probably already encounter at work — Microsoft Copilot, customer service bots, scheduling assistants, and more — with the exact moment each one stops being a chatbot

When Agents Fail (and Why That's Normal)

An honest look at agent limitations — hallucination chains, confident mistakes, and loops — framed as normal challenges with practical responses, not reasons to panic

Working Alongside Agents: Your New Skill

Practical guidance for working with AI agents daily — writing good instructions, knowing when to intervene, reviewing output, and building your personal agent playbook

Explore the full Your Daily AI Toolkit path

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6 chapters

Your Daily AI Toolkit: Start Here

A 12-minute orientation across the five-chapter Daily AI Toolkit — name the four AI tool families that the foundation chapter teaches, see how the three daily-surface chapters (docs/decks, email/meetings, research) apply that framework, recognize the ecosystem-routing chapter as the meta-decision overlay, and pick the right starting chapter based on which surface is biting hardest

Map the four AI tool families, build a default stack of three or four tools that fits your week, and learn the meta-skill of evaluating any new tool that lands

Your AI Tool Stack

From a pile of messy inputs to a polished document and a stakeholder-ready deck — one repeatable 4-step pattern, executed across M365, Workspace, or hybrid stacks

AI for Documents & Decks

AI for Email, Meetings & Comms

Triage your inbox in minutes, capture meetings cleanly with the right notetaker, and run the post-meeting chain (transcript → summary → actions → per-person follow-up) so nothing falls out — with the privacy and consent layer that keeps it professional

Replace 12 browser tabs with cited answers in minutes — name the four research surfaces, brief deep-research runs that compress 4 hours of manual work into 25 minutes of yours, decide when a browser agent earns the click delegation, and apply the 3-source rule that keeps fabricated facts out of your work

AI for Research

Pick Your Productivity Stack

Diagnose whether you are M365-native, Workspace-native, or hybrid — then route every AI task with rules that fit the ecosystem you actually live in, and know when to leave Chapter 2.1 for the deep dives (Copilot Mastery, future Workspace AI, AI Coding for Beginners)

Explore the full Copilot for Business path

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Certificate of mastery

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5 chapters

Copilot for Business: Start Here

Orientation across the four-chapter Copilot skill path — beginner-to-power-user user ladder for daily M365 work, plus the citizen-builder branch (Copilot Studio) for teams ready to build their own agents

From 'I have it but don't use it' to confident daily use across Word, Excel, Outlook, and Teams

Copilot: First Steps

Copilot at Work: Daily Mastery

Advanced prompting, cross-app workflows, and the habits that turn Copilot into your daily engine

Advanced techniques, multi-AI workflows, and the path from individual mastery to organizational impact

Copilot Power User

Copilot Studio: Build Your Own Agents

From Copilot user to agent builder — what Studio is, when to use it (vs Power Automate or custom code), the five-step build flow, the trust boundaries (environment, auth, DLP), and what it takes to keep a citizen-built agent alive past the demo

Explore the full AI Coding for Beginners path

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7 chapters

AI Coding for Beginners: Start Here

Orient through the chapter — name the four artifact families a non-coder can build with AI (custom assistants, single-file artifacts, full prototypes, end-to-end coding-agent workflows), see the skill-path map of the six chapters and how they relate, recognize the concrete capabilities at chapter end, and pick the recommended starting path (CLI-comfortable: 5.1.2; no-CLI starter: 5.1.3)

14 min

Claude Code for Beginners

Get Claude Code on your Mac, learn how to brief it, give it a project memory with CLAUDE.md, capture repeated work as Skills, run a hands-on first project, and keep token spend honest — explained without jargon for non-coders

Understand AI agents from the ground up — distinguish them from chatbots and Claude Code, learn the agent loop, see how tools turn thinking into doing, recognize when an agent is the right shape, and have Claude Code build your first customer-research agent end-to-end

Agents for Beginners

Custom Assistants Without Code

Stop re-pasting context every chat — package your prompts, files, and tone as reusable assistants on ChatGPT (Custom GPTs), Claude (Projects + Skills), and Gemini (Gems), with the four levers, sharing patterns, and when a saved prompt would do better

Your First Personal Build

From a messy CSV to a single-file HTML dashboard you can email — paste data, brief the dashboard, iterate without breaking sections, share, and recognize where this approach fits (single-stakeholder snapshots) vs where it does not (live data, multi-user, regulated)

Your First Prototype with Lovable & Claude Design

From a small-tool idea to a clickable demo at a URL — pick the right design-first surface (Lovable for working app, Claude Design for polished + hand-off-ready), brief in experience-language not implementation, iterate without breaking the prototype, and recognize the 80% wall that signals time to hand off to Claude Code for real implementation

When Coding Agents Get Stuck

Recognize the five predictable failure modes when AI coding agents stop cooperating (loop, context overflow, silent regression, phantom imports, configuration drift), apply the matching recovery move (interrupt, redirect, restart), and know when to escalate to a real developer instead of pushing the agent further

Explore the full AI Digital Product Building path

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Certificate of mastery

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5 chapters

AI Digital Product: Start Here

A 12-minute orientation to the AI Digital Product Building skill path — restructure your build process around AI, ship features in hours not days, run agentic product pipelines, and operate at startup-scale output with AI as your team.

AI-First Product Development

Restructure your entire build process around AI — from idea to ship, with AI as the primary collaborator across every stage of product development.

Ship features in hours, not days — with AI as your copilot at every step from spec to PR.

AI-Assisted Building

Agentic Product Pipelines

Build autonomous workflows where AI agents handle end-to-end product tasks — design, code, ship, monitor — with humans in the supervisory loop.

The One-Person Product Empire

Operate at startup-scale output — with AI as your entire team. The playbook for solo founders and indie product builders running multi-product portfolios.

Explore the full Open-Source AI Models: Literacy & Landscape path

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7 chapters

Open-Source AI Models: Start Here

A 12-minute orientation to reading the open-weight model market like a strategist — what each chapter gives you, how they connect, and where to begin.

Open Source vs Open Weight

The word "open" hides two very different deals — and the one that decides what you can legally ship is the license, not the label.

The 2026 Open-Model Leaders

A working map of who leads the open-weight field right now — and the bigger story of where the lead has moved.

Reading Open-Model Benchmarks

The leaderboards that rank open models, the self-reported numbers that flatter them, and how to read an open-vs-open comparison without being fooled.

Two cost worlds — renting by the token and running it yourself — and why "free weights" lands you in the more expensive one more often than people expect.

What Open Models Cost

How to Access Open Models

The providers that serve open models for you, the aggregator that hands you all of them through one door, and how to pick — by price, speed, and where your data may go.

A durability framework for picking an open-model vendor that will still be strong and supported next year — and how to hedge so no single bet can sink you.

Who to Bet On

Explore the full Creative Foundations with AI path

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Creative AI

Creative production with AI end-to-end — foundations and the 2026 creative stack, image generation for production, video and motion pipelines, and running a multi-platform creative studio.

Creative Foundations with AI

FoundationsNon-tech

The creative workflow with AI — building a personal creative library, briefs and moodboards, the 2026 creative stack, and the rights/provenance layer (C2PA).

6 chapters ~2 hr

Earn a Certificate of Completion

Creative Foundations with AI

6 chapters · ~2 hr

Images with AI

PractitionerNon-tech

Image generation for production — product imagery and mockups, marketing visuals, illustration in brand style, photo editing, and going from one image to an asset set.

7 chapters ~2.5 hr

Earn a Certificate of Completion

Images with AI

7 chapters · ~2.5 hr

Video & Motion with AI

PractitionerNon-tech

Video generation pipelines — the 2026 video landscape, short-form social, product demos, storyboards and pre-viz, voice/music/sound design, captions and localization.

7 chapters ~2.5 hr

Earn a Certificate of Completion

Video & Motion with AI

7 chapters · ~2.5 hr

Creative Pipelines, Assets & Decks

PractitionerNon-tech

Run a creative studio pipeline end-to-end — asset systems, multi-platform content engines, slide decks beyond template fills, QA/brand safety/approval loops, and storytelling at scale.

7 chapters ~2.5 hr

Earn a Certificate of Completion

Creative Pipelines, Assets & Decks

7 chapters · ~2.5 hr

6 chapters

Creative Work with AI: Start Here

Your orientation to creative AI foundations — landscape, inputs, collaboration, rights, and compound systems

The Creative Brain + The AI Brain

Collaboration patterns that make human-AI creative work better than either alone

Building Your Personal Creative Library

Build a creative asset system that compounds — every project makes the next one faster and better

Rights, Provenance & Attribution

Navigate ownership, Content Credentials, and the C2PA standard for AI-generated creative work

A clear-eyed map of AI creative tools in 2026 — what works, what is hype, and how to think about a stack that changes every quarter

The 2026 Creative Stack

Briefs, References & Moodboards with AI

How to prepare the inputs that determine whether AI creative tools produce magic or mediocrity — structured briefs, curated references, and living moodboards

Explore the full Images with AI path

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7 chapters

From One Image to a Whole Asset Set

Turn a single approved image into a complete multi-format, multi-channel asset library using AI-powered adaptation, outpainting, and batch generation workflows.

Image Generation for Marketing

Turn brand briefs into production-ready campaign visuals using AI image generators — hero images, social assets, and ad creative at the speed of thought.

Images with AI: Start Here

A practitioner's map of the Images with AI skill path — from your first marketing visual to a production asset pipeline.

Product Imagery & Mockups with AI

Generate studio-quality product shots, lifestyle scenes, and packaging mockups without a physical studio — master the tools and workflows that turn a single product photo into an entire e-commerce vis

Illustration & Brand Style with AI

Make AI image generators produce illustration that looks like YOUR brand, not generic AI art.

Photo Editing, Retouching & Cleanup with AI

Transform existing photographs with AI-powered removal, replacement, enhancement, and correction — the other half of the creative workflow.

Editorial & Storytelling Imagery with AI

Use AI image generation to create narrative-driven visuals that support articles, reports, and content series with emotional coherence and editorial intent.

Explore the full Video & Motion with AI path

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7 chapters

Editing, Captions & Localization with AI

The post-production layer — text-based editing, auto-captioning, multi-platform export, and localization workflows that turn one video into 10 variants

Storyboards, Animatics & Pre-viz with AI

From static frames to motion previews — the AI-accelerated pre-production workflow that tests ideas before you commit budget

Voice, Music & Sound Design with AI

The audio layer of AI video production — voiceover, music, and sound effects that don't sound like a robot made them

The 2026 Video Generation Landscape

What AI video tools exist, how they work, what they cost, and where each wins

Short-Form Social Video with AI

From concept to 30 variants in a day — the production workflow that turns AI video tools into a repeatable social content engine

Video & Motion with AI: Path Overview

The production map — from landscape to post-production, what you'll master and how the six chapters connect

Product Demos & Explainers with AI

Script-to-video workflows, avatar presenters, screen recording enhancement, and the quality bar for when AI-generated is good enough

Explore the full Creative Pipelines, Assets & Decks path

Certificate

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7 chapters

Asset Systems: Variants, Sizes, Formats, Languages

Master the combinatorial challenge of managing creative assets across the full matrix of variants, sizes, formats, and languages at production scale.

Creative Pipelines, Assets & Decks

The mental map for running studio-grade AI creative production -- from designing the factory to governing what it ships.

Multi-Platform Content Engines

Design the system that turns one idea into platform-native content across every channel -- without duplicating effort or diluting quality.

QA, Brand Safety & Approval Loops

Ensure everything your AI creative pipeline produces meets quality, brand, and safety standards before it reaches audiences.

Storytelling Frameworks at Production Scale

Maintain genuine narrative quality and emotional resonance when producing content at volume with AI creative systems.

Slides & Decks Beyond Template Fills

Use AI for presentation design that starts with narrative structure and audience needs -- not clip art on steroids.

Designing Your Studio Pipeline

Architect the concept-to-delivery pipeline that turns AI-assisted creative ops from ad-hoc experiments into repeatable studio-grade production.

Explore the full Selling at AI Speed path

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AI by Role

Role-specific AI playbooks — the workflows, prompts, and tool stacks tuned to the daily work of sales, marketing, HR, CX, finance, legal, operations, and product management

Selling at AI Speed

PractitionerNon-tech

The recipe book for non-technical sales practitioners — signal-based prospecting, outreach at scale with verified facts, pre-call dossiers, AI-assisted forecasting, polished proposals, lightweight coding for sales workflows, and Copilot inside CRM-grounded selling

2 chapters 39 min

Earn a Certificate of Completion

Selling at AI Speed

2 chapters · 39 min

The Modern Marketer

PractitionerNon-tech

The AI toolkit for marketers — pick the right tool per job, extract and protect brand voice, plan campaigns, master Generative Engine Optimization (GEO), build small marketing automations, recognize when AI is your thinking partner vs when it lies, and measure with judgment

8 chapters ~3 hr

Earn a Certificate of Completion

The Modern Marketer

8 chapters · ~3 hr

People Ops, Reimagined

PractitionerNon-tech

AI as a decision-support partner for HR teams — recruiting, onboarding, performance, employee insights, policy drafting, and lightweight coding for HR workflows

10 chapters ~3.5 hr

Earn a Certificate of Completion

People Ops, Reimagined

10 chapters · ~3.5 hr

Customer Experience at AI Speed

PractitionerNon-tech

The AI playbook for customer experience teams — ticket triage, reply drafting, knowledge base generation, voice of customer analysis, and the ethical anchor on deflection

7 chapters ~2 hr

Earn a Certificate of Completion

Customer Experience at AI Speed

7 chapters · ~2 hr

Finance at AI Speed

PractitionerNon-tech

AI-assisted finance workflows — spreadsheet analysis, budgeting & forecasting, document extraction, management commentary, investor materials, and Copilot for finance

8 chapters ~2.5 hr

Earn a Certificate of Completion

Finance at AI Speed

8 chapters · ~2.5 hr

The AI-Augmented Lawyer

PractitionerNon-tech

AI for in-house legal teams — contract review, drafting, legal research, privacy & DPA reviews, negotiation tracking, and the hallucination guardrails that keep it defensible

10 chapters ~3.5 hr

Earn a Certificate of Completion

The AI-Augmented Lawyer

10 chapters · ~3.5 hr

Operations at AI Speed

PractitionerNon-tech

Deploy AI across operational workflows — process mapping, helpdesk bots, no-code automation, reporting dashboards, vendor procurement, and frontline tools

7 chapters ~2 hr

Earn a Certificate of Completion

Operations at AI Speed

7 chapters · ~2 hr

Building Product with AI

PractitionerNon-tech

AI-accelerated product management — specs & PRDs, user research synthesis, competitive analysis, roadmap comms, A/B test design, and coding-lite tools for PMs

7 chapters ~2 hr

Earn a Certificate of Completion

Building Product with AI

7 chapters · ~2 hr

Data Work with AI

PractitionerNon-tech

Vendor-agnostic AI for analysts — no Copilot. Process and ideas, with Microsoft Excel as tool example. Better questions, cleaner data, exploratory analysis, narrative communication, reproducible patterns, rigor about hallucinations.

8 chapters ~3 hr

Earn a Certificate of Completion

Data Work with AI

8 chapters · ~3 hr

Leading in the AI Era

AdvancedNon-tech

The five decisions only executives can make — strategy, build/buy/partner, org design, risk governance, and change leadership for AI transformation

5 chapters ~1.5 hr

Earn a Certificate of Completion

Leading in the AI Era

5 chapters · ~1.5 hr

AI Adoption & Change Management

PractitionerNon-tech

Stage-by-stage operational playbook from pilot to scale — resistance patterns, adoption curves, embedding rituals, and the grassroots tactics that make AI stick

4 chapters ~1.5 hr

Earn a Certificate of Completion

AI Adoption & Change Management

4 chapters · ~1.5 hr

2 chapters

AI for Sales: Start Here

Orientation across the AI for Sales stack — why AI is rewriting EVERY stage of the funnel in 2026, the seven-course map (five funnel-stage courses run linearly: prospecting → outreach → call prep → forecasting → proposals; plus two satellites — Coding-Lite for Sales and Microsoft Copilot for Sales — that cross-cut the funnel), the leverage map separating where AI is decisive (research speed, draft scaffolding, signal ranking, summarization) from where the human stays decisive (judgment, trust-building, accountability, verification), the concrete capabilities at stack end, and the pick-by-pain table that picks your starting course (default: sales-prospecting)

13 min

Coding-Lite for Sales

Bridge from knowledge-worker AI use to AI engineering for sales — reframe the "I'm not a developer" mental block (the new floor: reps who can ship a small custom tool are 10× more leveraged than reps who can't), install a coding agent once (Claude Code as the worked example with explicit escape hatch to Cursor / Codex CLI / Gemini CLI), learn the describe-codes-run-fix loop, ship three running mini-projects in your actual workflow (pipeline report extending sales-pipeline-forecasting, custom lead score extending sales-prospecting, outreach personalizer extending sales-outreach-scale Tier 2) with the EXACT reproducible prompts, recognize when NOT to use a coding agent (native CRM/Apollo feature exists, data too sensitive, silently-wrong-numbers in a board deck), and walk away with a coding-lite system — folder structure, three running tools, weekly cadence

Explore the full The Modern Marketer path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

8 chapters

AI for Marketing: Start Here

Your map to the 7 marketing-specific AI capabilities — pick the right tool per job, extract brand voice, plan campaigns, master Generative Engine Optimization (GEO), build small automations, recognize when AI is your partner vs your trap, and measure with judgment. Orient through the chapter, see the stack-map (hub + 6 spokes), and pick a recommended starting course based on your role and current pain

The Marketer's AI Toolkit

Map the 8 marketing jobs onto the 4 AI tool families (chat agents, research surfaces, embedded AI, automation), learn the 4-question routing rubric, and assemble the small multi-tool stack that actually fits a marketer's week — the foundation for the rest of the chapter

Workshop the 3 operational moves of brand-voice work with AI — extract 5-7 voice rules from 3-5 sample documents, capture them as a persistent system prompt (Custom GPT, Claude Project + Skill, or Gemini Gem) so every chat starts on-voice, and recognize the 5 drift signals that say it's time to reseed before shipping

Brand-Voice Prompts

AI-Powered Campaign Planning

Recognize the 4 moments where AI genuinely changes campaign planning (cited audience research, message-variant generation, pre-launch red-team, pre-ship verification) and the 3 dangers where its fluency makes things worse (positioning judgment, stakeholder politics, budget trade-offs) — operational moves with a citation discipline that keeps invented buyers out of your dossier

Generative Engine Optimization (GEO)

GEO is not better SEO. Different game, different metrics. Master the 4 operational moves — JSON-LD structured data AI engines prefer, per-engine brand-mention saturation (ChatGPT, Perplexity, AI Overviews each cite from different sources), citation-worthy content formatting (the opening 200 words rule + 5 more), and the hybrid SEO/GEO playbook — plus how to measure visibility with Otterly / Profound

Coding-Lite for Marketing

Build 3 small marketing tools end-to-end with an AI coding agent (Claude Code as worked example; Cursor / Codex / Gemini CLI as escape hatches) — a competitor blog tracker from RSS feeds, a campaign data analyzer that turns HubSpot CSV exports into AI-narrated insights, and a content calendar generator that produces voice-matched multi-channel calendars. With the personal-stays-personal discipline that keeps these tools from becoming accidental products

AI as Thinking Partner — Marketing

The meta-skill that outlasts every tool churn — AI is useful for thinking, dangerous for deciding. 4 marketing cases (AI buyer personas, market sizing, competitive analysis, campaign ROI prediction) plus a 2-question decision rule (generate or adjudicate? if wrong, reversible or not?) that applies to any AI tool — including ones that don't exist yet

Measure & Iterate with AI

The chapter's analytical close — use AI to interpret analytics faster (compute outside AI, narrate with AI), design tighter A/B tests (hypothesis crispness + sample-size sanity + when to use multi-arm bandits), and recognize the 3 overclaim patterns AI is prone to (confounded variables, cherry-picked windows, vanity metrics) that turn fluent dashboards into bad decisions

Explore the full People Ops, Reimagined path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

10 chapters

AI for HR: Start Here

Orient to the AI for HR stack — where AI helps, where guardrails matter, and where to begin

Onboarding & Internal Comms

Welcome bots, personalized onboarding paths, and tone-matched internal communications

Performance & Feedback with AI

360 synthesis, calibration support, feedback language, and OKR tracking

Employee Insights from Surveys

Theme extraction, sentiment beyond positive/negative, and risk signals

Policy & Handbook Drafting

AI drafts, legal verifies — policy templates, localization, and compliance

Build feedback-loop systems for JD bias scoring, exit themes, and headcount tracking — no terminal required

Coding-Lite for HR

Skills mapping, verification with AI Simulations, and upskilling with Skill Paths — the platform loop for HR leaders

Adopt Anthropos in HR

28 min

Internal Mobility and Talent Matching

Person-to-role and role-to-person matching at scale — surfacing opportunities employees never knew existed

Compensation Benchmarking with AI

Market data, internal equity, and comp-band signals — making defensible pay decisions at scale

Recruiting with AI Guardrails

Recruiting is the highest-risk AI use case in HR — the regulators have said so explicitly (EU AI Act Article 6 + Annex III §4(a); Illinois HB 3773 effective Jan 1 2026; EEOC Title VII liability). Master the doctrine (AI as triage layer, not gatekeeper), the 4 named guardrails (audit the dataset, blind protected variables, quarterly diverse calibration panel, human decision-maker with documented rationale), and the audit trail that an auditor or plaintiff's counsel expects to see — mapped to Articles 13, 14, 15, 26, 27 of the EU AI Act and the EEOC's 2023 technical assistance

Explore the full Customer Experience at AI Speed path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

7 chapters

AI for CX: Start Here

A 12-minute orientation across the AI-for-CX chapter — the four-layer operational ladder, the ethical anchor on deflection, and where to begin

Ticket Triage & Smart Routing

Build the AI triage layer that sits at the front of every CX queue — taxonomy, confidence scoring, and priority stacking

Reply Drafting with the Right Tone

AI-assisted CX replies that sound like your brand — tone presets, de-escalation, and the human-review matrix

Self-Service & Knowledge Base Generation

Build a knowledge base from real tickets, write findable articles, and maintain them on a cadence

Voice of Customer & Trend Analysis

Turn thousands of conversations into themes — sentiment taxonomy, churn-phrase watchlists, and multi-stakeholder distribution

The ethical anchor — name the trap high deflection hides, separate good deflection from relationship-burning, and give leaders push-back language

When to Stop Deflecting

Build three recursive CX tools — self-updating FAQ, self-learning template factory, and continuous sentiment monitor

Coding-Lite for CX

Explore the full Finance at AI Speed path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

8 chapters

AI for Finance: Start Here

The 12-minute orientation to the AI for Finance stack — 5 finance moments, 8 courses, and where to start

AI in Financial Spreadsheets

Master AI-powered workflows for NPV, IRR, and audit-trail spreadsheet analysis

Budgeting and Forecasting with AI

Master driver-based modeling, scenario planning, and high-stakes forecasting with AI

Document Extraction at Scale

Automate invoice, receipt, and bank statement processing with AI — from pilot to production

Management Commentary with AI

Transform variance data into strategic narrative — AI-assisted storytelling for CFOs

Investor Materials and Board Packs

AI-assisted investor updates, board decks, and earnings prep — CFO owns the message

Build finance mini-projects with Claude Code — variance commentary generator, invoice batch extractor, board pack assembler

Coding-Lite for Finance

19 min

Scenario Modeling with AI in Microsoft Excel

Build multi-case financial models that make uncertainty visible, stress-test assumptions with AI, and translate scenarios into board-ready decisions

Explore the full The AI-Augmented Lawyer path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

10 chapters

AI for Legal: Start Here

5 legal moments, 3 hallucination danger zones, and the guardrails that keep AI defensible in legal work

Contract Review & Risk Spotting

NDA/MSA/SOW review, standard playbooks, and anomaly detection with AI

AI-Drafted NDAs, MSAs & Addenda

Playbook + AI pattern, localization, and quality gates for legal drafting

Westlaw AI, Lexis+, Harvey, citation hallucination, and regulatory tracking

Legal Research with AI

Privacy, DPA & Vendor Reviews

DPA review, GDPR/AI Act check, vendor questionnaire, and the 24h review SLA

Negotiation Tracking & Internal Advisory

Redline tracking, side-by-side comparison, and internal advisory memo generation

Clause comparator, redline tracker, and contract indexing — built with AI coding agents

Coding-Lite for Legal

Litigation Support & Discovery with AI

eDiscovery, TAR protocols, privilege detection, early case assessment, and narrative assembly — AI as force-multiplier for litigation

Horizon scanning, multi-jurisdiction tracking, compliance mapping, and the AI tools that keep your regulatory program ahead of the curve

Regulatory Watch with AI

Matter Management & Outside-Counsel Spend

AI-powered invoice review, spend analytics, budget forecasting, and panel management for in-house legal teams

Explore the full Operations at AI Speed path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

7 chapters

AI for Operations: Start Here

The mental map for deploying AI in operational workflows — five process patterns, ROI frameworks, and the build-vs-buy-vs-AI decision tree

Extract tribal knowledge into structured workflows, find bottlenecks and drift, monitor processes over time, and document SOPs in 30 minutes

Process Intelligence

Internal Tools & Helpdesk

Decide what to botify, prepare the knowledge base, choose the right platform, and manage the system over time

No-Code Automation Mastery

Turn Zapier-style workflows into AI-assisted decision engines — AI-in-the-middle and confidence-gated human review

Vendor & Procurement with AI

Contract review, RFP comparison, vendor diligence, negotiation prep — AI surfaces, you verify, you decide

Copilot for Frontline Workers

Deploy AI assistance for deskless teams — mobile-first tools, voice workflows, and shift handoff automation

Coding-Lite for Operations

Use AI coding agents to build operational tools without learning to code — SOP generators, vendor dashboards, and data monitors

Explore the full Building Product with AI path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

7 chapters

AI for PMs: Start Here

Six PM moments where AI accelerates your work — and three where it doesn't

Specs & PRDs That Engineers Love

From vague idea to eng-ready spec with AI

Turn interview transcripts into actionable insights

User Research Synthesis

Competitive & Market Analysis

Monitor competitors and synthesize market intelligence with AI

Roadmaps & Stakeholder Comms

Narrative roadmaps and updates that land with every audience

A/B Test Design & Read-Out

Design experiments and read results without falling into statistical traps

Coding-Lite for Product & PM

Build PM tools without writing code — using AI agents

Explore the full Data Work with AI path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

8 chapters

Data Analysts: Start Here

A 12-minute orientation to the Data Analysts skill path — why it exists, what you will be able to do, how the seven chapters relate, and where to begin

The Modern Analyst's AI Workflow

Map the complete AI-augmented analysis loop — from question to action — and build habits that make any LLM your daily thinking partner

Asking Better Questions of Data

Turn vague business requests into precise analytical sub-questions — use AI to decompose, challenge, and sharpen every question before you touch the data

Data Cleaning & Reshaping with AI

Reclaim the 60-80% of analysis time lost to messy data — use AI to detect anomalies, generate Microsoft Excel cleaning formulas, reshape structures, and validate transformations

Exploratory Analysis with AI

Let AI surface patterns, correlations, anomalies, and next questions from your data — spend less time staring at spreadsheets and more time finding what matters

Storytelling with Data + AI

Turn analytical findings into compelling narratives that drive decisions — using AI to draft chart titles, annotations, executive summaries, and slide structures

Reproducible Analysis Patterns with AI

Make every analysis repeatable, auditable, and hand-off-ready — using AI to document, template, and automate your analytical workflows

Bias, Errors & Hallucinations in Data Work

Recognize the three failure modes of AI-assisted analysis — systematic bias, wrong outputs, and confident fabrication — and build verification protocols that catch them before they reach stakeholders

Explore the full Leading in the AI Era path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

5 chapters

Leading in the AI Era

The five decisions that determine whether you control your AI destiny—or vendors, competitors, and inertia control it for you

AI Strategy & Investment Thesis

Four strategic postures, ROI math for CFOs, bets that compound, and when to go all-in vs hedge

The strategic framework that determines whether you control your AI destiny—or vendors control yours

Build vs Buy vs Partner

Where to place AI teams, what roles to create, how to allocate budget for reskilling

AI Org Design & Talent

AI Risk for the Boardroom

The five board-level risks, disclosure obligations, and governance KPIs that separate leaders from laggards

Explore the full AI Adoption & Change Management path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

4 chapters

AI Adoption & Change Management

Why rollouts fail, how to make AI stick, and the operational playbook from pilot to scale

13 min

The AI Adoption Playbook

Stage-by-stage operational model from pilot to scale — the five adoption stages, resistance patterns, and the grassroots tactics that make AI stick

Find, enable, and sustain the grassroots layer — champion profiles, toolkits, burnout prevention, and rotation models

Building AI Champions

Leading indicators, behavior-driving metrics, and when to declare success — the four metrics that matter and the four vanity metrics to kill

Measuring AI Adoption

Explore the full Copilot Foundations path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

Microsoft Copilot Mastery

From M365 daily-use to Copilot Studio agents and enterprise governance. The full Copilot surface for users, builders, and IT.

Copilot Foundations

FoundationsNon-tech

Non-technical guide to how Microsoft Copilot actually works inside an organization — the license tier you have and what it unlocks, the Microsoft Graph and Semantic Index that ground its answers, and the sensitivity labels that decide what it can see and say

4 chapters ~1 hr

Earn a Certificate of Completion

Copilot Foundations

4 chapters · ~1 hr

Free

Copilot in Your M365 Apps

PractitionerNon-tech

6 chapters ~2 hr

Earn a Certificate of Completion

Copilot in Your M365 Apps

6 chapters · ~2 hr

Copilot for Business Analysts

AdvancedNon-tech

Advanced Copilot workflows for Business Analysts in large enterprises — requirements elicitation, process mapping, stakeholder communication, data exploration, change impact analysis, and enterprise governance.

7 chapters ~2.5 hr

Earn a Certificate of Completion

Copilot for Business Analysts

7 chapters · ~2.5 hr

Copilot Studio

PractitionerNon-tech

Build custom Copilot agents with Microsoft Copilot Studio — knowledge sources, connectors, actions, governance, and the publishing lifecycle.

4 chapters ~1.5 hr

Earn a Certificate of Completion

Copilot Studio

4 chapters · ~1.5 hr

Power Platform AI

PractitionerNon-tech

Microsoft Power Platform AI: Power Automate AI Builder, Power Apps Copilot, Power BI Copilot, Dataverse for AI agents, governance.

6 chapters ~2 hr

Earn a Certificate of Completion

Power Platform AI

6 chapters · ~2 hr

Copilot for Admins & IT

Advanced

Govern Microsoft Copilot at enterprise scale — DLP, sensitivity labels, license management, Microsoft Graph optimization, EU AI Act compliance, and adoption metrics.

6 chapters ~2 hr

Earn a Certificate of Completion

Copilot for Admins & IT

6 chapters · ~2 hr

4 chapters

Copilot Foundations: Start Here

A 12-minute orientation across the three-rung Copilot Foundations skill path — License (what you have) → Graph (what it sees) → Labels (what it's allowed to use). The mental model that explains every Copilot answer you'll ever read

Understanding Your Copilot License

Your org just turned Copilot on. Figure out which one you have, what it can actually do for you, and what to ask IT to fix the gap between 'I have a license' and 'it works for my job'

The Microsoft Graph & Semantic Index

How Copilot actually grounds its answers in your org's data — what it sees, what it can't see, and why answers sometimes miss. The same physics as ChatGPT Enterprise's knowledge feature or Claude Projects, but private to your tenant

Sensitivity Labels & Permission Inheritance

Of everything in your Graph, what is Copilot actually allowed to use? Sensitivity labels, the EXTRACT usage right, label inheritance into generated content, and the seven-question checklist for your compliance team

Explore the full Copilot in Your M365 Apps path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

Per App: Start Here

Outlook Copilot Deep Dive

Word Copilot Deep Dive

Excel Copilot Deep Dive

PowerPoint Copilot Deep Dive

Teams Copilot Deep Dive

Explore the full Copilot for Business Analysts path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

7 chapters

Copilot for Business Analysts: Start Here

A 12-minute orientation across the six-chapter BA skill path — from requirements elicitation to enterprise governance, the complete Copilot toolkit for advanced business analysis

Requirements Elicitation with Copilot

Turn messy stakeholder inputs into structured BRDs, user stories, and acceptance criteria using M365 Copilot in Word, Loop, and Teams — with enterprise-scale context priming.

Process Mapping & Gap Analysis

Use M365 Copilot in Visio, Whiteboard, and Excel to accelerate process documentation, build as-is/to-be comparison matrices, and surface cross-departmental inefficiencies.

Stakeholder Communication & Alignment

Translate technical BA findings into audience-adapted communications using PowerPoint, Outlook, Loop, and Teams — managing competing interests and preserving precision across enterprise stakeholder levels.

Data Exploration Without Code

Use Excel Copilot, Python in Excel, and Power BI Copilot to pivot, clean, analyze, and visualize enterprise data exports — building stakeholder-ready insights from messy CSVs without writing SQL or Python manually.

Change Impact & Dependency Mapping

Trace how proposed changes ripple through systems, teams, and processes — building impact matrices, risk registers, and readiness assessments that synthesize technical and organizational dependencies for complex enterprise change programs.

Copilot in Enterprise Governance

Navigate sensitivity labels, DLP policies, data residency constraints, and audit requirements to remain productive with Copilot inside heavily regulated enterprise environments — from financial services Chinese walls to cross-border data boundaries.

Explore the full Copilot Studio path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

4 chapters

Publishing, Governance & Lifecycle

Ship agents safely — master the publishing flow, channel matrix, DLP governance, environment promotion, and the full dev-to-production lifecycle in Copilot Studio.

Studio vs Per-App Copilot vs Custom Code

A decision framework for choosing the right AI surface — Microsoft 365 Copilot per-app, Copilot Studio agents, or custom code — based on control, audience, cost, and team capability.

Your First Custom Agent in Copilot Studio

Build your first working agent — understand what Studio agents are, how topics route intent, where generative AI fills gaps, and what happens when you hit Publish.

Knowledge Sources, Connectors & Actions

How Copilot Studio agents access enterprise data, ground answers with RAG, call external services through connectors, and where the platform's integration layer falls short.

Explore the full Power Platform AI path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

Power Platform AI: Start Here

A 12-minute orientation to the Power Platform AI skill path — why it exists, what you will be able to do, how the five chapters relate, and where to begin

Power Automate AI Builder

What AI Builder is, what it can actually do inside Power Automate, and where it wins versus where you graduate to Azure AI Services

What Copilot in Power Apps is, what it can actually build from natural language, and where it wins versus where hand-coding is still needed

Power Apps Copilot

What Copilot in Power BI is, how it turns natural language into reports, narratives, and DAX queries, and where it wins versus where it misleads

Power BI Copilot

How Microsoft Dataverse serves as the knowledge, memory, and action layer for AI agents built on Power Platform — and where it hits its ceiling

Dataverse for AI Agents

Power Platform AI Governance

How IT admins and compliance officers govern AI Builder, Copilot features, and generative AI across the enterprise Power Platform estate — DLP, capacity, environment controls, audit logging, and EU AI Act compliance

Explore the full Copilot for Admins & IT path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

6 chapters

Microsoft Graph Optimization for Copilot

How Graph data quality, Semantic Index behavior, and permission architecture determine whether Copilot gives your org useful answers or confident noise.

Copilot for Admins and IT: Start Here

A 12-minute orientation to the five domains an IT administrator owns when their organization deploys Microsoft 365 Copilot — and how this path connects them.

DLP and Sensitivity Labels at Tenant Scope

How Data Loss Prevention policies and sensitivity labels interact with Microsoft 365 Copilot, where the protection model works, and where it quietly fails.

Audit and EU AI Act for Copilot

Where Microsoft 365 Copilot lands in the EU AI Act risk tiers, what deployer obligations actually require, and how to build an audit-ready posture with the tools Microsoft provides and the gaps they l

License Management at Scale

Master Microsoft 365 Copilot license tiers, assignment strategies, consumption monitoring, and cost governance for enterprise IT.

Adoption Metrics and Measurement

What Microsoft's built-in analytics actually measure, where they mislead, and how to build a measurement practice that tells leadership whether Copilot is working.

Explore the full Claude Cowork Foundations path

Certificate

Certificate of mastery

Complete all chapters to earn your certificate

Claude Cowork Mastery

Master Claude Cowork end-to-end — from your first delegated task to vertical workflows in finance, sales, marketing, and legal

Free

Claude Cowork Foundations

FoundationsNon-tech

6 chapters ~2 hr

Earn a Certificate of Completion

Claude Cowork Foundations

6 chapters · ~2 hr

Finance Operations with Cowork

PractitionerNon-tech

Run month-end close, invoice reconciliation, variance analysis, and audit-ready workpapers through Claude Cowork — built around Anthropic's official Finance plugin and the multi-entity workflows controllers actually live in

5 chapters ~1.5 hr

Earn a Certificate of Completion

Finance Operations with Cowork

5 chapters · ~1.5 hr

Sales Pipeline with Cowork

PractitionerNon-tech

Replace your weekly pipeline review and your forecast-call gut feelings — run Cowork against Salesforce or HubSpot with Anthropic's official Sales plugin, from call summaries to weighted forecast to Chrome-paired prospecting

5 chapters ~1.5 hr

Earn a Certificate of Completion

Sales Pipeline with Cowork

5 chapters · ~1.5 hr

Marketing & Agency with Cowork

PractitionerNon-tech

Run a marketing team or digital agency on Cowork — brand-tuned content, SEO audits, campaign planning, and client-ready performance dashboards, anchored on Anthropic's official Marketing plugin

5 chapters ~1.5 hr

Earn a Certificate of Completion

Marketing & Agency with Cowork

5 chapters · ~1.5 hr

Legal Practice with Cowork

PractitionerNon-tech

Automate contract review, NDA triage, and vendor compliance with Anthropic's official Legal plugin — the lead vertical for Cowork, with playbooks that encode your team's standard positions and distribute across counsel

5 chapters ~1.5 hr

Earn a Certificate of Completion

Legal Practice with Cowork

5 chapters · ~1.5 hr

6 chapters

Claude Cowork: Start Here

The orientation chapter — what makes Cowork its own discipline, and how the rest of the skill path is laid out.