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AG

Agentic AI

Promise

Leave able to build autonomous agents that use tools, plan, and carry out real tasks.

Courses and prices

  • Agentic AI · Levels 100–200

    14 modules · levels 100–200

    estimated price0 of 14 modules published

  • Agentic AI · Complete · Levels 100–400

    26 modules · levels 100–400

    estimated price0 of 26 modules published

The five tracks cost the same despite differing module counts: the price reflects the competence a track delivers and the integrative project that closes it, not how many modules it lists. The MLOps track has fewer modules because it reuses less, not because it delivers less.

100Beginner28h

Modules of this track

  • AG-101Syllabus published

    What agents are: LLM + tools + loop

    Detailed syllabus not written yet

  • AG-102Syllabus published

    Chatbots vs. agents (hands-on with APIs)

    Detailed syllabus not written yet

Reused modules

Comes from elsewhere in the curriculum

  • CORE-101What AI, ML and DL are
  • CORE-102Python for AI
  • CORE-104Data: collection and cleaning
  • CORE-107Ethics, bias and safety in AI
  • CORE-108Git, GitHub and your portfolio

200Intermediate42h

Modules of this track

  • AG-201Syllabus published

    Function calling and tool use

    Detailed syllabus not written yet

  • AG-202Syllabus published

    Agent memory and state

    Detailed syllabus not written yet

  • AG-203Syllabus published

    Frameworks (LangGraph, CrewAI, agent SDKs)

    Detailed syllabus not written yet

Reused modules

Comes from elsewhere in the curriculum

  • CORE-205AI APIs and prompt engineering
  • CORE-206Basic deployment
  • NLP-201Embeddings and semantic search
  • NLP-202End-to-end RAG (shared with Agentic AI)

300Advanced56h

Modules of this track

  • AG-301Syllabus published

    Multi-agent systems and orchestration

    Detailed syllabus not written yet

  • AG-302Syllabus published

    Planning, reflection and self-correction

    Detailed syllabus not written yet

  • AG-303Syllabus published

    MCP and integration with real systems

    Detailed syllabus not written yet

  • AG-304Syllabus published

    Agent security (prompt injection, sandboxing)

    Detailed syllabus not written yet

Reused modules

Comes from elsewhere in the curriculum

  • CORE-301The Transformer architecture
  • CORE-302Fine-tuning and transfer learning
  • CORE-304Evaluating AI systems

400Expert46h

Modules of this track

  • AG-401Syllabus published

    Agents in production: cost, latency, observability

    Detailed syllabus not written yet

  • AG-402Syllabus published

    RL for agents (fundamentals)

    Detailed syllabus not written yet

  • EX-AGSyllabus published

    Project — a complete autonomous agent

    Content
    A research-and-execution agent that solves a business task end to end

Reused modules

Comes from elsewhere in the curriculum

  • CORE-303Training optimisation
  • MLOPS-301Observability and monitoring