Courses

Build and Evaluate RAG Applications

Start session 1 →8 sessions · self-paced · Intermediate
Free · no sign-inIntermediateFresherCareer switch

Eight sessions on retrieval-augmented generation: embeddings and vector search, grounded answers with citations, why retrieval fails, evaluation suites and catching hallucinations.

Read every session in order. Each one ends with a small project you build and run yourself. Start with Getting Started with AI if you have not taken it.

Part of the guided program Cloud/AI Solutions Architect.

  1. 1. Embeddings and Vector Search
  2. 2. Retrieval-Augmented Generation End to End
  3. 3. Grounded Answers and Citations
  4. 4. Why Retrieval Fails in Production
  5. 5. Data Architecture for AI Workloads
  6. 6. Evaluation Suites
  7. 7. Using a Model to Score Model Output
  8. 8. Hallucination Detection and Containment

After this course

FreeIntermediate

Building AI Agents

11 sessions · self-paced

Eleven sessions on agents that take real actions: tool calling, the Model Context Protocol, the agent loop, memory, access control, human approval and guardrails, ending in a capstone feature.

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TechEazy Consulting training material — not affiliated with or endorsed by OpenAI, Anthropic, Microsoft or any other company named in this course.