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← AI Agent Academy · Learning Paths

AI Agents Path

Advanced

From single prompts to autonomous, tool-using agents.

The full arc of agent engineering: how LLMs actually work, how to build production agents, how to model complex workflows as graphs, and how to prove they behave.

4 courses188 lessons · 43.5h
Start with LLM Foundations: A Deep Dive

Your course roadmap

Follow these in order for the smoothest path — or jump straight to the one you need.

  1. 1

    LLM Foundations: A Deep Dive

    Beginner

    Transformers, tokenization, attention, and evaluation.

    Foundations — how LLMs think.

    9.5h40 lessonsOpen course
  2. 2

    Building Production AI Agents

    Intermediate

    From prototype to reliable, observable agents in production.

    Your first real agent, end-to-end.

    14.5h62 lessonsOpen course
  3. 3

    Agentic Systems with LangGraph

    Advanced

    Multi-agent orchestration, memory, and long-horizon tasks.

    Graph-based agents that scale.

    11h48 lessonsOpen course
  4. 4

    Evaluating LLM Applications

    Advanced

    Offline evals, online experiments, and safety testing.

    Prove your agent works before shipping.

    8.5h38 lessonsOpen course