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Starts March 25
~6 months
Track
AI Agent Developer
We’ll figure out where a workflow turns into an agent, then build our own agent loop in Python around the ReAct pattern. You’ll understand how an LLM makes decisions, how to connect tools and MCP, then add RAG, memory, planning, human-in-the-loop, and multi-agent orchestration.
Access to a Discord community of heavy hitters
A lot of hands-on practice, flash tests, and capstone projects
Mentors, checkpoints, and mock interviews
Lifetime access and permanent updates
TrackWe’ll go from understanding what makes a system an agent to a full-fledged Python agent loop in the ReAct pattern with tools, MCP, RAG, and memory. You’ll learn to manage context, plug in human-in-the-loop, add planning, reflection, and multi-agent orchestrators, and build agent systems without magic or black boxes.
- Learn where a workflow is enough and where a true agent loop plus context engineering is required
- Choose LLMs, work with APIs through LiteLLM, and design prompts for agent scenarios
- Add tool calling, web search, your own tools, and MCP without depending on opaque frameworks
- Build a ReAct agent in Python, then extend it with RAG, memory, sessions, and human-in-the-loop
- Push the agent toward harder tasks with planning and reflection while understanding every internal layer
AI Agent Developer
Who this track is for
New
Developers who want to design production-grade AI agents
Pro
AI engineers moving from prompt demos to systems with tools, memory, and retrieval
Product and ops teams automating research, support, and internal workflows
Founders building agent-based products and wanting to understand the architecture beyond ready-made wrappers
Anyone who wants to learn evaluation, safe deployment, and debugging of agents on real tasks
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We’ll reach out faster than six confirmations on the latest Ethereum block
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Program
We move from basic agent architecture and tool use to RAG, memory, sessions, planning, and reflection while keeping similar visual density on the page.
01
What an AI agent is
02
The brain of AI agents: LLMs
03
Enabling actions: tool use
04
The basic agent loop in Python
05
Building knowledge bases with RAG
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Platform
A crypto-native platform packed with research-backed learning tools and designed by a former Rarible product lead.
- Wallet-based loginNo logins or passwords — just connect MetaMask from any device and start learning.
- MicroformatsThe material is broken into small, easy-to-digest blocks so you can keep moving even if you only have 15 minutes a day.
- Active learningInteractive tasks and exercises that let you apply new knowledge in practice. Every module ends with a capstone project so you use the full stack of skills you just gained.
- Code firstThe platform is built for working with code: built-in editor, dark theme, and syntax highlighting like in your usual VS Code or Remix IDE.
DiscordA community of AI and crypto enthusiasts, developers, cryptographers, engineers, auditors, and investors who sharpen each other’s craft and form teams together.
Daily streams, no days off
01
Live coding
Hands-on development with a mentor — the closest alternative to pair programming, still the gold standard of effective skill transfer in IT.
02
AMA with experts
Top developers and project founders answer questions from the room, explain how the industry really works, and share insights and alpha.
03
Market reviews
Weekly summaries from GuideDAO researchers on the hottest sectors: from fresh papers on LLMs and agent architectures to DeFi narratives, hack breakdowns, and global regulation.
Career
Our goal is for you to outgrow the DAO as fast as possible — launch your own project or join a global startup.
Mock interviews
A simulation of a technical interview with active developers and team leads — like Total Recall on Valocordin.
Portfolio
Nothing sells you better than a GitHub profile packed with real production-grade architecture cases — whether it’s a complex smart contract or an autonomous AI agent.
Success stories
Graduates share their wins, explain how they found work in AI and crypto, and pass résumé hacks on to newcomers.