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AIintermediate

๐Ÿค–Agentic AI Systems

Move beyond single prompts into agents that plan, use tools, and loop. Six lessons covering the agent mindset, the LangGraph framework, the realities of context windows, where humans belong in the loop, the security pitfalls, and how to evaluate non-deterministic systems.

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Lessons in order

  1. 1
    AI
    Agentic AI: from chatbots to tool-using agents
    Start
  2. 2
    AI
    LangGraph: stateful, graph-based LLM workflows
    Start
  3. 3
    AI
    Context windows: tokens, limits, and "lost in the middle"
    Start
  4. 4
    AI
    Human-in-the-loop systems: where to put humans in an AI pipeline
    Start
  5. 5
    AI
    Prompt injection: the security flaw at the heart of LLM apps
    Start
  6. 6
    AI
    LLM evaluation: how to know your model output is actually good
    Start