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Browse 16 learning paths

AI learning path

AI Agents

Understand tool use, retrieval, memory, guardrails, and how to design an agent workflow that stays observable.

For Developers and technical operators

11 resources

LLM Course by Hugging Face
Hands-on labIntermediate

LLM Course

Hugging Face

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

Time
12 chapters
transformersdatasetsfine-tuning
Read the ToolDix guide
Attention Is All You Need by arXiv
Classic readingAdvanced

Attention Is All You Need

arXiv · Ashish Vaswani et al.

The paper that introduced the Transformer architecture used in many modern language and multimodal systems.

Time
Research paper
Author
Ashish Vaswani et al.
Published
Published 2017-06-12
transformersattentionarchitecture
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AI Agents Course by Hugging Face
CourseIntermediate

AI Agents Course

Hugging Face

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

Time
Self-paced units
tool useagent loopsevaluation
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OpenAI Agents SDK quickstart by OpenAI Agents SDK
Hands-on labIntermediate

OpenAI Agents SDK quickstart

OpenAI Agents SDK

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

Time
One small agent
toolshandoffsguardrails
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OpenAI Agents SDK by OpenAI
Hands-on labIntermediate

OpenAI Agents SDK

OpenAI

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

Time
Documentation and examples
toolshandoffstracing
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Building Effective Agents by Anthropic Engineering
Classic readingIntermediate

Building Effective Agents

Anthropic Engineering

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

Time
Long-form article
workflowsevaluationreliability
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LangGraph Academy by LangChain
CourseIntermediate

LangGraph Academy

LangChain

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

Time
Course modules
statehuman-in-the-loopgraphs
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AI Agents for Beginners by Microsoft
CourseBeginner

AI Agents for Beginners

Microsoft

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

Time
12 lessons · code samples
agent patternstool usemulti-agent systems
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Build Agents with Agent Development Kit by Google for Developers
Hands-on labIntermediate

Build Agents with Agent Development Kit

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.

Time
Guided codelab
ADKagent toolsGoogle Cloud
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Build an MCP Server by Model Context Protocol
Hands-on labIntermediate

Build an MCP Server

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.

Time
One end-to-end tutorial
MCPtool schemastransport
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Hugging Face Context Course by Hugging Face
CourseIntermediate

Hugging Face Context Course

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.

Time
6 units · exercises
context engineeringskillssubagents
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