The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

Remember last week's video where I talked about the difference between workflows and AI agents? Well... it kinda blew up on YouTube. 175k views in just 12 day! A lot of you were asking about how to implement these AI workflows. So that's what we're going to cover in this week's video: building effective AI agents in pure Python — no frameworks. Which are actually not agents but workflows... but agents get more clicks these days ghehe. In this week’s video, I show you: - How to implement the core patterns you need to understand - How easy it actually is to build them from scratch - How to piece these patterns together to build applications