Get started with Agentspan! https://agentspan.ai/?utm_campaign=YouTube-Tim&utm_source=Newsletter&utm_medium=email Most AI agent tutorials show you demos that fall apart the moment you try to run them in the real world. This full course is different — we'll build three agents from scratch in Python, and every single one is designed to actually work in production. 🚀 Tools I Use Get 10% off with code techwithtim Openclaw setup: https://www.hostinger.com/techwithtim VPS setup: https://www.hostinger.com/techwithtim10 Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/TechWithTim-jun26 🎞 Video Resources 🎞 Finished Code (GitHub): https://github.com/techwithtim/Agentspan-Course Agentspan GitHub: https://github.com/agentspan-ai/agentspan/tree/main/deployment/docker-compose Agentspan Docs: https://agentspan.ai/docs/why-agentspan/ ⏳ Timestamps ⏳ 00:00:00 | Overview/Intro 00:01:00 | Problems with Running Agents 00:02:04 | What we Need for Production 00:02:45 | Agentspan Framework 00:04:50 | Agentspan Architecture 00:06:04 | Install/Setup 00:12:00 | Agent 1 - Memory & Basic Tools 00:28:36 | Agent 2 - RAG, Guardrails and HIML 00:57:53 | Agent 3 - Multi-Agent Orchestration 01:11:04 | Testing Agents 01:12:52 | Durable Execution 01:17:18 | Deplyment Overview Hashtags #Agentspan #Orkes #Python #AIAgents UAE Media License Number: 3635141

How to become an AI engineer in 2026 — the exact topics to learn, in order, with no fluff or filler. AI engineering is one of the highest-paid, most in-demand roles in tech right now, and everyone wants in. The problem: most people have no idea where to start. They search Reddit, ask around, and get overwhelming roadmaps with 47 different things to learn — then spin their wheels for months with no real progress. This is the step-by-step AI engineer roadmap that cuts the noise: just the skills that actually matter, in the order you should learn them, so you can get there as fast as possible. #techwithtim #aiengineer #ai #programming

The AI portfolio projects that actually get you hired — not the random tutorial projects everyone else has. Employers want real projects that solve real problems and prove you can ship something end to end. First, build a RAG chatbot that answers questions about a specific domain — legal documents, medical research, anything. Then deploy it and get real people using it. RAG sounds simple, but making it reliable in the real world is much harder than it looks. Second, build an AI agent with tools — something that can browse the web, call APIs, create files, and interact with its environment. Put these on GitHub, deploy them, write clean READMEs, and be able to explain them in an interview — and you're already ahead of 90% of applicants. #techwithtim #aiengineer #ai #programming