# Which AI engineering roadmap should software engineers follow?

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Last updated: 2026-06-23
Source: Learnetto AI learning directory

## Short answer
Build one useful AI feature end to end, then layer in retrieval, tools, evals, deployment, monitoring, and model selection. A project-based path is better than collecting disconnected courses.

## Context from the full guide
Use AI Hero or LangChain courses for app-building practice, Chip Huyen and Full Stack Deep Learning for production judgment, and eval/observability resources once your demo needs to survive real users.

## Useful resources
1. [AI SDK v6 Crash Course](https://www.aihero.dev/workshops/ai-sdk-v6-crash-course) - Workshop by Matt Pocock; level: Intermediate. You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.
2. [The AI Engineer Roadmap](https://www.aihero.dev/ai-engineer-roadmap) - Free tutorial by Matt Pocock; level: Beginner to intermediate. You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.
3. [LangChain for LLM Application Development](https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/) - Short course by DeepLearning.AI; level: Beginner to intermediate. You want a fast introduction to building LLM applications with chains, retrieval, and tools.
4. [AI Engineering](https://huyenchip.com/aie-book) - Book by Chip Huyen; level: Intermediate to advanced. You are moving from demos to production systems.
5. [OpenAI Cookbook](https://github.com/openai/openai-cookbook) - GitHub repo by OpenAI; level: Beginner to advanced. You need implementation examples rather than theory.
6. [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.
7. [Prompt Engineering Guide](https://www.promptingguide.ai/) - Guide by DAIR.AI; level: Beginner to advanced. You want examples of prompting techniques and patterns.
8. [LLM Fundamentals](https://www.aihero.dev/llm-fundamentals) - Free tutorial by Matt Pocock; level: Beginner. You need clear mental models for system prompts, tokens, context windows, tools, and agents before building or using AI systems seriously.

## Related questions
- [What are the best AI engineering courses for developers?](https://learnetto.com/ai-questions/what-are-the-best-ai-engineering-courses-for-developers-best-ai-engineering-courses-for-developers)
- [How do I move from LLM demos to production AI apps?](https://learnetto.com/ai-questions/how-do-i-move-from-llm-demos-to-production-ai-apps-best-ai-engineering-courses-for-developers)

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