
LLM Course
Hugging Face
A practical path through Transformers, tokenizers, datasets, fine-tuning, and modern LLM workflows.
- Time
- 12 chapters
AI learning path
Understand tool use, retrieval, memory, guardrails, and how to design an agent workflow that stays observable.
For Developers and technical operators
11 resources

Hugging Face
A practical path through Transformers, tokenizers, datasets, fine-tuning, and modern LLM workflows.

arXiv · Ashish Vaswani et al.
The paper that introduced the Transformer architecture used in many modern language and multimodal systems.

Hugging Face
An applied route through agent concepts, tool use, and agent frameworks.

OpenAI Agents SDK
A first-party quickstart for defining an agent, adding tools, coordinating handoffs, and observing a run.

OpenAI
A framework and documentation set for composing agents, tools, handoffs, guardrails, and traces.

Anthropic Engineering
An engineering perspective on choosing simple workflows before adding autonomous loops, tools, and coordination.

LangChain
Courses focused on stateful agent workflows, human intervention, memory, and deployment concerns.

Microsoft
A structured introduction to agent design patterns, tool use, multi-agent collaboration, planning, memory, retrieval, observability, and trustworthy operation.

Google for Developers
A guided build that uses Google's Agent Development Kit to define an agent, connect tools and models, manage sessions, and observe a working flow.

Model Context Protocol
An official tutorial for building a small MCP server with tools, connecting it to a host, handling transport correctly, and testing the resulting integration.

Hugging Face
A focused course on context engineering for coding agents using skills, plugins, MCP servers, subagents, hooks, and deliberate control of the agent loop.