Build AI Agents & Systems in 14 Days (Full Course)

Building AI agents is one of the most in-demand skills in software development right now, and this video walks you through what that actually looks like in practice, from architecture to a deployed, working product. You'll see how to design AI systems that combine memory, tools, and automation, how to build agents that reason through tasks and take real actions instead of just responding to prompts, and how to chain multiple steps into reliable workflows using structured outputs and validation checks. Along the way, you'll pick up practical skills like working with LLM APIs, handling multi-turn conversation memory, and deploying an AI application to the cloud. This is built for developers, product builders, and technical professionals who want hands-on experience with AI engineering, not just theory. Basic Python knowledge is all you need to follow along. If you're ready to move past simple prompting and start building AI agents that actually do things, keep watching, this breaks down exactly how it's done.

🎬 BUILDING AI SYSTEMS MASTERCLASS - FULL TIMESTAMPS

SECTION 1: INTRODUCTION
0:00:00 Certificate of Completion
0:00:29 How AI Systems Actually Work
0:10:10 Lab: Map Problem to AI System Diagram
0:20:09 Environment Setup
0:38:21 Working with APIs & LLMs
0:57:21 Prompt Engineering That Works
1:17:32 Structured Outputs & JSON Responses
1:35:58 Working with Documents (RAG Basics)
1:54:55 Building a Simple AI Web App
2:10:53 Memory & State in AI Apps
2:29:35 AI Agents: From Chatbots to Doers
2:50:59 Automation & Workflows
3:11:55 Evaluating & Improving AI Systems
3:34:44 Deployment & Sharing
3:55:29 Capstone Build Day
4:21:07 Portfolio, Documentation & Next Steps
4:41:46 End of Course