Hugging Face AI Agents Course
A free hands-on course covering agent fundamentals, frameworks, agentic RAG, evaluation, and a final project.
View resource →I curated a collection of vendor-neutral resources for learning and building with modern AI, including models, agents, MCP, RAG, evals, coding agents, multimodal AI, engineering practices, and tools across the broader AI ecosystem.
You don't need to read everything on this page. Start with these resources in order.
A free hands-on course covering agent fundamentals, frameworks, agentic RAG, evaluation, and a final project.
2Learn the core concepts behind agents, including LLMs, tools, reasoning, planning, actions, and observations.
3Practical guidance for writing effective prompts, structuring context, using examples, tools, and agentic patterns with Claude.
4Learn how MCP standardizes connections between AI applications, data sources, tools, servers, and clients.
5Get an overview of AI tools, and learn from real-world examples of generative AI in use today.
Courses, workshops, learning paths, videos, and hands-on training to help you build your skills.
A free hands-on course covering agent fundamentals, frameworks, agentic RAG, evaluation, and a final project.
View resource →Learn the core concepts behind agents, including LLMs, tools, reasoning, planning, actions, and observations.
View resource →A practical introduction to building with modern multimodal models, tools, and function calling through the Gemini API.
API costs may applyView resource →Practical guidance for writing effective prompts, structuring context, using examples, tools, and agentic patterns with Claude.
API costs may applyView resource →Build a first agent, add tools, use handoffs, manage state, and inspect traces with the OpenAI Agents SDK.
API costs may applyView resource →Learn how MCP standardizes connections between AI applications, data sources, tools, servers, and clients.
View resource →A four-hour Claude Academy course on effective, efficient, ethical, and safe AI collaboration using the 4D framework: Delegation, Description, Discernment, and Diligence.
View resource →Free courses, tutorials, and use cases from Anthropic covering AI fluency, Claude, Claude Code, the Claude API, and human-agent collaboration.
View resource →Courses and short courses for learning generative AI, machine learning, agents, RAG, prompting, and practical AI engineering.
View resource →A three-hour Claude Academy course for product people, engineers, and makers applying the 4D AI Fluency framework from problem framing through shipping.
View resource →7 resources
A free hands-on course covering agent fundamentals, frameworks, agentic RAG, evaluation, and a final project.
View resource →Learn the core concepts behind agents, including LLMs, tools, reasoning, planning, actions, and observations.
View resource →A practical introduction to building with modern multimodal models, tools, and function calling through the Gemini API.
API costs may applyView resource →A four-hour Claude Academy course on effective, efficient, ethical, and safe AI collaboration using the 4D framework: Delegation, Description, Discernment, and Diligence.
View resource →Free courses, tutorials, and use cases from Anthropic covering AI fluency, Claude, Claude Code, the Claude API, and human-agent collaboration.
View resource →Courses and short courses for learning generative AI, machine learning, agents, RAG, prompting, and practical AI engineering.
View resource →A three-hour Claude Academy course for product people, engineers, and makers applying the 4D AI Fluency framework from problem framing through shipping.
View resource →2 resources
Reference for standard, streaming, realtime, embeddings, media, and agent-oriented Gemini API endpoints.
API costs may applyView resource →Practical guidance for writing effective prompts, structuring context, using examples, tools, and agentic patterns with Claude.
API costs may applyView resource →3 resources
Build a first agent, add tools, use handoffs, manage state, and inspect traces with the OpenAI Agents SDK.
API costs may applyView resource →Explore the core agent runtime, orchestration patterns, guardrails, tracing, sessions, MCP tools, and human approvals.
API costs may applyView resource →Connect AI agents to models, datasets, Spaces, MCP servers, skills, and open-source agent tooling on Hugging Face.
API costs may applyView resource →2 resources
A framework for long-running, stateful agents with durable execution, streaming, persistence, memory, and human-in-the-loop.
API costs may applyView resource →Learn how to pause agent execution so people can approve, modify, or provide feedback on tool calls before execution continues.
API costs may applyView resource →1 resources
Learn how MCP standardizes connections between AI applications, data sources, tools, servers, and clients.
View resource →2 resources
Learn how embeddings support semantic search, classification, clustering, multimodal retrieval, and RAG systems.
API costs may applyView resource →Compare retrieval approaches and evaluate RAG systems on benchmark tasks, including accuracy and faithfulness.
API costs may applyView resource →1 resources
Understand ways to evaluate whether agents select the right tools, use them in the right order, and reach the expected state.
API costs may applyView resource →2 resources
Reference for using Claude Code interactively and non-interactively, resuming sessions, piping content, and configuring MCP.
API costs may applyView resource →Build agents that can work with real files, repositories, commands, artifacts, and resumable isolated workspaces.
API costs may applyView resource →2 resources
Build low-latency voice agents with realtime sessions, tools, approvals, orchestration, and WebSocket transport.
API costs may applyView resource →Use function calling and other tools in realtime conversational experiences built with the Gemini Live API.
API costs may applyView resource →1 resources
Learn how agents use hosted tools, local tools, functions, other agents, MCP servers, code execution, search, and more.
API costs may applyView resource →2 resources
Connect models to external APIs and tools, execute actions, augment knowledge, and build multi-step tool workflows.
API costs may applyView resource →Get an overview of AI tools, and learn from real-world examples of generative AI in use today.
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