Neurocourse
🕹️Paid · €9

AI agents

Master AI agents: the goal-plan-act loop, tools and memory, MCP, multi-agent systems and production reliability. Build your own agent with the right safeguards. 14 lessons, first 3 free.

⏱ 2 h📅 4 wk📚 14 lessons✅ 71 tasksAdvancedPrerequisites: none
Start free · first lessons are open →No sign-up, no card

Course programme

Module 1 · Why agents, and what they are— 4 lessons · 20 tasks

  1. 1
    Why agents are the #1 topic of 2026
    ~10 min
  2. 2
    Agent versus chat: the goal → plan → act loop
    ~10 min
  3. 3
    The application map: where agents already earn
    ~10 min
  4. 4
    💎 PremiumAgent or workflow: the beginner's most expensive choice
    ~10 min

Module 2 · How an agent is built— 3 lessons · 15 tasks

  1. 5
    💎 PremiumAgent anatomy: model, tools, memory, limits
    ~10 min
  2. 6
    💎 PremiumTools: how an agent acts in the world
    ~10 min
  3. 7
    💎 PremiumMemory: from context to vector stores
    ~10 min

Module 3 · Build and connect— 3 lessons · 15 tasks

  1. 8
    💎 PremiumMCP: the universal agent connector
    ~10 min
  2. 9
    💎 PremiumPractice: assembling an assistant agent
    ~10 min
  3. 10
    💎 PremiumAgent teams — and their price
    ~10 min

Module 4 · When it all breaks— 4 lessons · 21 tasks

  1. 11
    💎 PremiumDebugging: the agent failed — what to check first
    ~10 min
  2. 12
    💎 PremiumCost: how not to get a $40,000 bill
    ~10 min
  3. 13
    💎 PremiumControl: confirmations, sandboxes, observability
    ~10 min
  4. ★
    Checkpoint💎 PremiumCheckpoint: head of agents
    ~12 min