Agent in Action
Traversaal.ai

Free 4-Day Agent Engineering Bootcamp

(Oct 17th-26th, 2025)

Learn to build, automate, and connect AI Agents with live interactive sessions, no-code tools, and advanced frameworks.

Registration Closes In:

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What You'll Get from This Bootcamp

What's Included

  • 🎥
    4 Live Sessions - Four interactive 1.5-hour workshops on Oct 17, 19, 24 & 26, 2025, with live demos, exercises, and Q&A.
  • 🚀
    Bootcamp Experience - The first-ever global Agent Engineering Bootcamp, delivered fully live with expert-led instruction.
  • 📁
    Exclusive Resources - Access a private GitHub repository (10k+ materials) packed with templates, slides, and hands-on projects.
  • 📺
    Session Recordings - Full replays available by Oct 28, 2025 for self-paced review.

What You'll Learn

  • 🧠
    Agents Uncovered - Explore the inner workings of AI agents: how they perceive, reason, and act in dynamic environments.
  • From Scripts to Systems - Go beyond simple tasks to build Level-2 Automation Agents that adapt to real-world complexity.
  • 🔄
    Reason + Act in Motion (ReAct Framework) - Master agents that combine logical reasoning with real-time decision-making.
  • 🤝
    When Agents Talk - Architect multi-agent systems that collaborate, coordinate, and communicate seamlessly.

Course Modules

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1

Day 1

2025-10-17

08:00

Agent 101 - Foundations of Agents

  • Understand what agents are and how they "think" and act.
  • Explore the core building blocks: perception, reasoning, and action.
  • See your first simple agent workflow in action.
Outcome: Design and run a basic working agent.
2

Day 2

2025-10-19

08:00

No-Code Agents - Build Without Coding

  • Learn no-code platforms for building agents visually.
  • Create simple workflows using drag-and-drop interfaces.
  • Explore practical use cases like chatbots and task automation.
Outcome: Build and deploy agents without writing a single line of code.
3

Day 3

2025-10-24

08:00

ReAct Framework - Reason + Act in Motion

  • Discover the ReAct paradigm for reasoning + acting.
  • Learn how agents analyze context before making decisions.
  • Build an agent that adapts intelligently to dynamic inputs.
Outcome: Create ReAct agents that "think before they act".
4

Day 4

2025-10-26

08:00

Agent-to-Agent Communication - Multi-agent collaboration

  • Understand how multiple agents coordinate and share tasks.
  • Learn protocols for agent-to-agent messaging and collaboration.
  • Architect workflows where agents interact seamlessly.
Outcome: Design multi-agent systems that collaborate to solve complex problems.