The Context Course: a FREE course on building agents with agents #learning #ai #agents

2026-05-05 · Source: HuggingFace · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Software Development & Engineering · Depth: Intermediate, quick

Summary

A new free online course, "The Context Course," is now available, focusing on machine learning with agent context. Participants will learn to train models, optimize inferences, and build datasets by defining harness context using specific tools and methodologies. The curriculum covers `SKILLS.md`, Plugins, Multi-Context Processing (MCP), Subagents, and Hooks. The course offers weekly live AMA sessions, practical projects, instructions for various AI models including Pi, Codex, Claude, and Opencode, fundamental tutorials, guides, and interactive quizzes. The primary goal is to equip learners with the knowledge to provide AI agents with appropriate information, tools, and structural frameworks to complete tasks effectively.

Key takeaway

For AI Engineers and ML practitioners looking to enhance agent capabilities, enrolling in "The Context Course" will provide practical skills in defining agent context. You will learn to integrate tools like `SKILLS.md` and MCP to improve model training and inference, directly impacting agent effectiveness. This course offers a structured approach to building and managing AI agents, enabling them to perform complex tasks more reliably.

Key insights

The course teaches ML with agent context using specific tools and multi-agent workflows.

Principles

• Define harness context for ML tasks
• Structure AI agents for task completion

Method

Train models, optimize inferences, and build datasets by defining harness context with `SKILLS.md`, Plugins, MCP, Subagents, and Hooks.

In practice

• Build an agent from scratch
• Implement multi-agent workflows

Topics

• AI Agents
• Agent Context
• Machine Learning
• Multi-Agent Workflows
• SKILLS.md

Best for: AI Engineer, Machine Learning Engineer, AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by HuggingFace.