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AI learning path

AI Coding

Use AI to accelerate planning, implementation, testing, and review without outsourcing engineering judgment.

For Developers and technical learners

6 resources

Practical Deep Learning for Coders by fast.ai
Video seriesIntermediate

Practical Deep Learning for Coders

fast.ai · Jeremy Howard and Rachel Thomas

A practical video course for applying deep learning to vision, language, tabular data, and deployment.

Time
9 lessons · about 90 min each
Author
Jeremy Howard and Rachel Thomas
PyTorchdeploymentprojects
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OpenAI Cookbook by OpenAI
Hands-on labIntermediate

OpenAI Cookbook

OpenAI

Focused examples for building, evaluating, and operating AI-assisted applications.

Time
Pick one recipe
APIsevaluationproduction
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GitHub Copilot documentation by GitHub Docs
CourseBeginner

GitHub Copilot documentation

GitHub Docs

A first-party documentation directory for using Copilot in the editor, GitHub, code review, and agent workflows.

Time
Choose a workflow
code reviewinstructionsagent workflows
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Codex Documentation by OpenAI
CourseBeginner

Codex Documentation

OpenAI

Official documentation for delegating coding tasks, providing context, reviewing changes, and using Codex within an engineering workflow.

Time
Getting-started guides
Codexengineering workflowreview
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Claude Code Documentation by Anthropic
Hands-on labIntermediate

Claude Code Documentation

Anthropic

Official material for using a coding agent in a local repository while keeping task boundaries, permissions, and verification explicit.

Time
Getting-started guides
coding agentspermissionsverification
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Aider Documentation by Aider
Classic readingIntermediate

Aider Documentation

Aider

Documentation for an open-source pair-programming tool designed around working directly with a Git repository.

Time
Open-source documentation
Gitpair programmingtests
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