How I Would Learn AI Engineering in 2026 If Starting Over

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!