GenAI Mastery Roadmap

What GenAI Mastery Roadmap does

The roadmap is organised into phases that move from foundations (transformers, prompt engineering, embeddings, LLM APIs) to agent building (tool use, LangChain and LangGraph, RAG), architecture (multi-agent systems, MCP and the A2A protocol, guardrails), engineering (fine-tuning, evals, agentic search) and a power-user phase that covers OpenClaw, NemoClaw and autonomous coding agents such as Claude Code, Cline and Aider.

Every resource is a YouTube video, blog post, paper or open documentation page. Lessons are meant to take 10 to 30 minutes, each has a concrete action task and an XP reward, and each week ends with a mini-project. The repository description names OpenClaw, Paperclip and Hermes Agent as covered topics. The README counts 30 weeks, 8 phases and more than 150 lessons, while the repository description says 23 weeks.

Key features

• Phased plan from transformer basics to production multi-agent systems
• Built only from free resources: videos, blog posts, papers and docs
• 10 to 30 minute lessons, each with an action task
• Weekly mini-project with a concrete deliverable
• Covers MCP, A2A, RAG, fine-tuning, evals and autonomous agents

When to use it

• Learning the autonomous agent landscape before choosing between Hermes Agent and OpenClaw
• Following a structured self-study plan for agentic AI
• Preparing for GenAI system design work

Who it is for: Developers and self-learners who want a free, structured path into agentic AI.

How it fits with Hermes Agent

It is a general GenAI curriculum that names Hermes Agent as one of the agent tools it covers, so it is a learning resource rather than a Hermes add-on.

Note: The README says 30 weeks while the repository description says 23, and some README links are unfilled placeholders.

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