AI Agents Masterclass: Build Autonomous Systems End to End
Design, build and ship production-ready AI agents with tool use, memory and evaluation harnesses.
Bestseller4.8(41,205 ratings)186,430 learners
Created by Dana Reyes · Last updated August 2026
What you'll learn
- Architect agents that plan, call tools and recover from failure
- Add long-term memory with vector search
- Evaluate agent quality with repeatable test suites
- Deploy agents behind a reliable API
- Control cost and latency in production
- Ship a portfolio-grade capstone project
Course content
4 sections · 214 lectures · 28.5 hours
- Welcome and how this AI agents course works04:12
- Setting up your workspace11:38
- Course resources and downloads02:50
Requirements
- Comfortable writing basic Python
- No prior machine learning experience needed
Description
This course takes you from a blank editor to a deployed autonomous agent. You will build the same patterns used by working teams: tool calling, retrieval, structured output, retries and evaluation. Every module ends with a hands-on build so the ideas stick.
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