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.
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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.