# How can I structure my AI learning path effectively?

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Last updated: 2026-10-07
Source: Learnetto AI learning directory

## Short answer
Start with AI foundations, then choose one applied track such as coding, agents, RAG, product work, or automation. Finish that track with a small verifiable project before adding production concerns such as evals, observability, cost, security, and deployment.

## Useful resources
1. [ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/) - Short course by DeepLearning.AI; level: Beginner. You want a short, structured intro to prompting for software tasks.
2. [Microsoft AI Agents for Beginners](https://github.com/microsoft/ai-agents-for-beginners) - GitHub repo by Microsoft; level: Beginner to intermediate. You want a structured agent learning path with code.
3. [Learn Prompting](https://learnprompting.org/) - Guide by Sander Schulhoff; level: Beginner to intermediate. You need a broad prompt engineering reference.
4. [Prompt Engineering Guide](https://www.promptingguide.ai/) - Guide by DAIR.AI; level: Beginner to advanced. You want examples of prompting techniques and patterns.
5. [Beginner: Introduction to Generative AI](https://www.skills.google/paths/118) - Learning path by Google Cloud; level: Beginner. Use this four-activity learning path for an introductory overview of generative AI, large language models, and responsible AI principles.
6. [Develop AI-Powered Prototypes in Google AI Studio](https://www.skills.google/course_templates/1426) - Skill badge course by Google Cloud; level: Beginner. Use this 45-minute hands-on course to practice prompting, multimodal image and video analysis, and rapid application prototyping in Google AI Studio.
7. [Prompting Claude Fable 5.1](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-fable-5-1) - Prompting guide by Anthropic; level: Intermediate to advanced. You are testing or migrating to Claude Fable 5.1 and want model-specific guidance for effort, progress updates, tool-call batching, long tasks, compaction, subagents, file edits, and verification.
8. [OpenAI Academy](https://academy.openai.com/) - Official learning hub by OpenAI; level: Beginner to advanced. You want OpenAI's public course hub and guided learning material rather than piecing together model docs, blog posts, and third-party tutorials.

## Related questions
- [How can I compare AI learning paths and skills?](https://learnetto.com/ai-questions/how-can-i-compare-ai-learning-paths-and-skills-best-ai-educators-for-beginners)

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