Starts June 6
before agents
Track
LLM Engineer
A practical LLM track: tokens, context, transformers, inference, training, evals, and the harness around the model.
Access to a Discord community of heavy hitters
A lot of hands-on practice, flash tests, and final projects
Mentors, checkpoints, and mock interviews
Lifetime access and permanent updates
AboutA practical course for anyone who wants to understand how LLMs work and how they are trained. We cover tokens, context windows, transformers, inference, pretraining, SFT/RLHF, grounding, evals, and the harness around the model. After the course, it becomes easier to read AI docs, separate memory from context, understand model limits, and talk to developers in the same language.
- Understand why an LLM only sees the current context instead of remembering everything by itself
- Learn tokens, context windows, model weights, inference, and latency without heavy math
- Separate memory, context, retrieval, and external data without the myth of instant self-learning
- Meet evals, grounding, and safe constraints for LLM applications
LLM Engineer
Who this track is for
New
Beginners who want a high-demand profession
Pro
Developers who want to move into a new niche
Creators turning ideas into working code without writing a full spec first
Founders building products in AI and web3
Leads who are designing the architecture of tomorrow
Program
A complete LLM track: from tokens and context to transformers, training, inference, evals, and the harness.
01
The Model Without Magic
02
Tokens and Context
03
Transformers in Plain Language
04
How Models Are Trained
05
Inference and API
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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. Larger courses lead to a final project or capstone where separate skills come together in one result.
- 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.
CommunityA 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.