Building AI Applications for Data Scientists and Software Engineers
You all know Hugo Bowne-Anderson — one of the most admired educators in AI, Machine Learning, and Data Science, he’s been a friend of this community for a while now. We’ve collaborated on sessions about building AI agents with AI-assisted coding and saving hundreds of hours with AI tools, and he joined as for a fantastic guest session on why you should stop building AI agents and start building AI pipelines.
Hugo is one of those rare educators who actually builds production systems and knows how to teach. That combination is hard to find.
Hugo and Stefan Krawczyk are teaching the next cohort of Building AI Applications for Data Scientists and Software Engineers, starting March 10th (I’ll be there too – this time as a student). The course covers the full lifecycle of shipping LLM-powered applications — not toy demos and POCs, but real production systems with proper evaluation, debugging, observability, and deployment.
Here’s what caught my attention:
4 weeks of live, hands-on training with Hugo and Stefan – deep experts and gifted teachers
Guest speakers from DeepMind, Pydantic, Chroma, and more
Over $2,300 in credits from Modal, Pydantic Logfire, Baseten, Braintrust, Chroma, and others
250+ satisfied alumni from Netflix, Meta, TikTok, Adobe, Amazon, Ford, and others
Most LLM courses teach you how to call an API and write a prompt. This one teaches you how to build something durable and dependable.
Hugo and Stefan are offering a 🔥 25% discount to members of this community. If you’ve been wanting to level up from prototypes to production AI systems, this is the one.
See you in class.