Hugging Face
The curriculum examines context engineering for AI coding agents, including skills, MCP, plugins and subagents, with emphasis on how the ideas are used. A central learning goal is to structure reusable instructions and connect coding agents to external tools. The course connects those techniques with building more dependable code-agent workflows with appropriate context and lifecycle hooks. The course is provided by Hugging Face and is available through its official learning website.
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.
course · Intermediate
LLM Course
This learning experience concentrates on transformers, tokenization and the Hugging Face model ecosystem. The lessons guide learners to use…
course · Intermediate
Robotics Course
At the center of this course are the LeRobot toolkit and data-driven robotic learning. Participants work with robot datasets, policies and …
course · Intermediate
smol-course
Learners encounter post-training techniques for open language models as a connected set of skills. Working through the material, learners p…
course · Intermediate
AI Agents Course
The program approaches agent reasoning, tools and orchestration from a practical perspective. Course activities help participants assemble …
Do you run AI training?
Add your course, certification or workshop so practitioners can find it in the graph.
Add a learning resource
