The Best AI Automation Stack to Learn in 2026

From the creator

Join me in Montenegro this summer: https://workless.ai Want to start freelancing? Let me help: https://go.datalumina.com/O82dbmB Want to learn real AI Engineering? Go here: https://go.datalumina.com/qjeP9LG Document Copilot: https://youtu.be/qF5il_9IwME Writing AI prompts all day? 🎙Try Glaido, the #1 voice dictation app for developers: https://get.glaido.com/dave ⏱️ Timestamps 00:00 AI Automation Stack 01:45 Backend Essentials 04:35 Postgres Database Layer 07:20 Frontend Stack 10:32 AI Model Layer 12:47 Deployment Infrastructure 15:13 The Five-Layer System 📌 Description In this video I break down the five-layer stack I recommend for AI automation and AI engineering: backend, database, frontend, AI models, and infrastructure. I cover Python, FastAPI, Celery, Postgres, Supabase, React, Vite, and ShadCN UI as the core tools for building dashboards, internal tools, APIs, and background automation. I also explain the AI layer, including language models, embeddings, vision, speech, and image generation through API calls from providers like OpenAI, Anthropic, AWS, Azure, and Google Cloud. Finally, I discuss infrastructure options such as Docker, Railway, VPS deployment, and cloud hosting for shipping and running the full system end to 👋🏻 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!

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