How I'd Learn AI Engineering in 2026 (Complete Roadmap)

Want to shortcut this roadmap? Go here: https://go.datalumina.com/ecPOtZu Want to start freelancing? Let me help: https://go.datalumina.com/j2yOqrk 🔗 Link to Roadmap https://github.com/daveebbelaar/ai-cookbook/blob/main/roadmaps/ai-engineer-2026.md 💼 Need help with a project? Work with me: https://go.datalumina.com/TMGbUvO ⏱️ Timestamps 00:00 Roadmap to Becoming an AI Engineer 01:37 Understanding the AI Engineer Role 04:29 Step 1: AI Foundations 08:17 Step 2: AI System Design 10:18 Step 3: AI Architecture 10:21 Step 4: Retrieval Augmented Generation (RAG) 11:57 Step 5: Monitoring and Evaluation 15:17 Step 6: Deployment Strategies 17:57 Final Thoughts and Next Steps 📌 Description Learn the exact tech stack and roadmap to become a production-ready AI Engineer in 2026. I’ll walk you through the essential tools, from Python, FastAPI, Docker, PostgreSQL, and Langfuse to working with OpenAI and real LLM APIs, so you can build and deploy end-to-end AI systems. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!