AAI-3: AI Systems Specialist
Advanced knowledge of LLM applications, RAG, retrieval, agents, evaluation, monitoring, architecture, and safety.
Someone who passes AAI-3 should be able to:
- Explain the structure of LLM-powered applications
- Understand embeddings and vector retrieval
- Reason about chunking, retrieval, and reranking
- Design a basic RAG system
- Design agent workflows and tool boundaries
- Identify common agent failure modes
- Create evaluation plans
- Reason about quality, cost, and latency trade-offs
- Define guardrails and approval gates
- Understand production monitoring risks
- Apply responsible AI and governance principles
Competencies tested: AI Systems, AI Agents, Evaluation and Monitoring, Safety and Responsible AI. See the full competency framework for scoring rules and badge prerequisites.
AAI-3: AI Systems Specialist
Advanced knowledge of LLM applications, RAG, retrieval, agents, evaluation, monitoring, architecture, and safety.
This assessment covers:
You can take AAI-3 at any time. The full AAI-3 AI Systems Specialist badge is only awarded once AAI-1 and AAI-2 have also been passed.
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