Course · 5 chapters
IA Adversarial
Ship LLM features that survive attack. Defend against prompt injection, context poisoning, and jailbreaks, then run an internal red-team program. 5 chapters, advanced, for engineers.
What you'll be able to do
- Defend LLM features against prompt injection
- Harden AI agents against data poisoning
- Automate jailbreak testing with DeepTeam
- Run proven attack algorithms like PAIR
- Turn attack discovery into cheap CI gates
- Run an internal AI red-team program
What's inside
- 1IA adversarial: comece aqui
Uma orientação pelos quatro capítulos do skill path de IA Adversarial — defesa → superfície de ameaça → ofensiva → programa — cobrindo desde o seu primeiro patch de prompt injection até a operação de uma prática interna de red team que resiste aos ataques de 2026.
- 2Fundamentos de Defesa Contra Prompt Injection
Por que prompt injection existe, como atacantes exploram essa falha, e a defesa em camadas que toda feature com LLM precisa antes de ir para produção.
- 3Envenenamento de Contexto e Injeção Indireta
Mapeie e defenda a superfície de ataque da era dos agentes — envenenamento de RAG, payloads embutidos em documentos, envenenamento de memória e sequestro de saída de ferramentas que as defesas contra injeção direta não alcançam.
- 4Ferramentas Automatizadas de Jailbreak
LRMs atacantes, padrões BYO-attacker, o trio DeepTeam / PyRIT / Mindgard e os algoritmos automatizados (PAIR, TAP, GCG) que transformam red-teaming de uma atividade individual em um programa contínuo.
- 5Red Teaming de IA e Avaliação Adversarial
Execute um programa de red team para IA em produção — taxonomia, ciclo de vida de achados, monitoramento em tempo real, disciplina de regressão e o playbook interno.
Frequently asked questions
- What will I learn in this adversarial AI course?
- You learn to defend and attack LLM-powered systems: patching prompt injection with defense-in-depth, blocking context poisoning and indirect injection across RAG and agents, running automated jailbreak tooling, and operating an internal AI red-team program. The path spans five chapters across the defender, threat-surface, offense, and program stages.
- Who is this AI security path for?
- It is built for engineers shipping production LLM features and the security teams that test them. The level is advanced, so it assumes you already work with LLM apps, agents, or RAG pipelines.
- Do I need coding experience or prior AI security knowledge?
- Yes. This is an advanced engineering path, so you should be comfortable building LLM features and reading code. It uses offensive tools like PyRIT, DeepTeam, and Mindgard, so familiarity with running Python tooling helps.
- How long does the Adversarial AI course take and is there a certificate?
- The path runs about 100 minutes across five chapters, including a short orientation chapter. You earn a completion certificate once you finish every chapter.
- Is this course free?
- No. Adversarial AI is a paid path included with AI Academy by Anthropos. It covers prompt injection defense, context poisoning, automated jailbreak tooling, and AI red teaming.
Earn a certificate
Complete all chapters to receive your certificate of completion.