How to Build Effective AI Agents in Pure Python - Beginner Course
Want to get started as a freelancer? Let me help: https://www.datalumina.com/data-freel...
Additional Resources
📚 Just getting started? Learn the fundamentals of AI: https://www.skool.com/data-alchemy
🚀 Already building AI apps? Get our production framework: https://launchpad.datalumina.com/?utm...
💼 Need help with a project? Work with me: https://www.datalumina.com/solutions?...
🔗 GitHub Repository
https://github.com/daveebbelaar/ai-co...
🔗 Other links
https://www.anthropic.com/research/bu...
https://platform.openai.com/docs/api-...
🛠️ My VS Code / Cursor Setup
• The Ultimate VS Code Setup for Data &...
⏱️ Timestamps
2:45 Basic API Call
5:10 Structured Output
8:00 Using Tools
18:31 Memory and Retrieval
24:35 Building an AI Calendar Agent
34:59 Prompt Chaining
37:56 Routing Requests
41:57 Parallelization
46:18 Deploying Your AI Application
📌 Description
In this tutorial, we’ll cover everything you need to start building AI agents in pure Python. We’ll start with the essential building blocks and then dive into workflow patterns for more reliable systems. To follow along, basic Python skills are recommended, along with familiarity with the OpenAI SDK and an API key. I highly recommend cloning the GitHub repository so you can work through the code step by step. Watch me go through it first, then try it yourself to reinforce your understanding. I move quickly to cover a lot in 45 minutes, but you can always pause, rewind, or ask ChatGPT for help.
👋🏻 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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