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| # Welcome to The Context Course | |
| **The Context Course** is a free, hands-on course on doing machine learning with agent context. You'll learn to train models, optimize inference, and build datasets — all by defining agent context with `SKILLS.md`, Plugins, MCP, Subagents, and Hooks. | |
| Whether you use Claude Code, Codex, or OpenCode, this course will teach you to give agents the right knowledge, tools, and structure to do real ML work. | |
| ## How to join the course | |
| First, you need to join this org to get info about the course: | |
| <div style="width: 100%; border: 1px solid #ccc; padding: 20px; margin: 20px auto; box-shadow: 2px 2px 5px rgba(0, 0, 0, 0.1); background-image: linear-gradient(to bottom, #2d2d2d, #1a1a1a); border-radius: 8px;"> | |
| <h2 style="color: #e0e0e0; margin-bottom: 10px;">🚀 Ready to start? Enroll now — it's free.</h2> | |
| <a href="https://hf-learn.short.gy/join-context-course" style="display: inline-block; padding: 10px 20px; background-color: #4a9eff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold; transition: background-color 0.3s ease;" onmouseover="this.style.backgroundColor='#3a8eef'" onmouseout="this.style.backgroundColor='#4a9eff'">Join the Course</a> | |
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| Our first livestream will be May 12th, so sign up on YouTube. | |
| <a href="https://youtube.com/live/269l_UN3qRI?feature=share" style="text-decoration: none; color: inherit; display: block; width: 100%; margin: 20px 0;"> | |
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| <h3 style="margin-top: 0; color: #000000;">🔴 Launch Live Stream & AMA</h3> | |
| <p style="color: #000000;">Weekly live AMA sessions covering course material, Q&A, and deep dives into ML with context engineering. First session: <b>May 12th</b>.</p> | |
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| ## Deep Dive Projects | |
| The course includes three hands-on ML projects that you'll tackle using agent context: | |
| - **Pre-training** — Run and monitor pre-training experiments with agent-driven research workflows. | |
| - **Post-training** — Fine-tune and evaluate chat models using a compact nano benchmark. | |
| - **Inference** — Optimize local inference with llama.cpp, getting a GGUF model to run as fast as possible. | |
| Each project is designed to be completed with a code agent — you'll define the context that makes it work. | |
| ## Interactive Quizzes | |
| Each unit includes quizzes to test your understanding. Complete them to track your progress and earn your certificate. | |
| ## Supported Agents | |
| This course works with multiple code agents. Instructions are provided for all three: | |
| - **Pi**: Lean and Open Source agent. | |
| - **Claude Code**: Anthropic's code agent (CLI & desktop) | |
| - **Codex**: OpenAI's multi-agent CLI | |
| - **OpenCode**: Open source agent from opencode.ai | |
| If you use Cursor or GitHub Copilot, the concepts still transfer — their MCP and extension UX just isn't covered step-by-step. | |
| ## Prerequisites | |
| - Basic familiarity with Python and the command line | |
| - A [Hugging Face account](https://huggingface.co/join) | |
| - At least one code agent installed (Claude Code, Codex, or OpenCode) | |
| ## Contribute | |
| This course is open source and contributions are welcome! | |
| - Found a bug or want to improve content? Open an issue or PR on [GitHub](https://github.com/huggingface/context-course). | |
| - Want to add a full section or unit? Open an issue first to discuss with the team. | |
| ## Questions? | |
| Open a [community discussion](https://huggingface.co/organizations/context-course/discussions) on the org page, or ask during the weekly live AMA. | |
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| <h2 style="color: #e0e0e0; margin-bottom: 10px;">📚 Start Learning</h2> | |
| <a href="https://huggingface.co/learn/context-course/unit0/introduction" style="display: inline-block; padding: 10px 20px; background-color: #4a9eff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold; transition: background-color 0.3s ease;" onmouseover="this.style.backgroundColor='#3a8eef'" onmouseout="this.style.backgroundColor='#4a9eff'">Access the Full Course</a> | |
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