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GenAI and Agents Fast Track

Start session 1 →8 sessions · self-paced · Beginner
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Eight hands-on sessions from how language models work to agents: prompting, structured output, RAG with citations and its evaluation, tools and MCP, coding with an AI agent, and a capstone.

Read every session in order. Each one ends with a small project you build and run yourself. You need basic Python; no machine-learning or maths background is assumed.

Part of the mentor-led program Forward-Deployed Engineer.

  1. 1. How LLMs work, and prompting: LLM, RAG or agent?
  2. 2. LLM APIs and structured output
  3. 3. RAG basics: chunks, embeddings, a vector store and citations
  4. 4. RAG evaluation and guardrails
  5. 5. Agents from scratch: the loop, tools and memory
  6. 6. Multi-agent systems and MCP
  7. 7. Coding with an AI agent: the first session
  8. 8. Capstone: build, demo, review

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