Data Science & AI Code-Alongs

Eric Riddoch, Director of Machine Learning Platform at Pattern, will guide you through deploying a Python-based machine learning model on AWS.

Thiago Ramos, Business Automation & AI Lead in People & Culture at Make, will show you how to use Make to build a simple yet powerful AI automation.

Frank Nillard, former founder of a data-analysis AI agent software startup and now founder of Neural-Architects.com, one of the leading and fastest growing AI communities out there, will guide you through building your first AI agent with n8n.

Sowjanya Pandruju, Cloud Application Architect at AWS, teaches you how to develop and deploy AI agents using AWS.

Ciro Greco, CEO and Co-founder at Bauplan, teaches you how to design and build scalable data pipelines from the ground up.

Tony Kipkemboi, Developer Advocate at CrewAI, teaches you how to use CrewAI to build a multi-agent system that generates podcast-style audio from text.

Kacper Łukawski, Senior Developer Advocate at Qdrant, teaches you how to rapidly build a Retrieval Augmented Generation system based on the Qdrant vector database.

Apoorva Joshi, Senior AI Developer Advocate at MongoDB, teaches you how to build a simple multimodal AI application using MongoDB and Voyage AI.

Francisco Quintana, Senior Machine Learning Engineer at Huda Beauty, walks you through building a portfolio management AI agent using Google Gemini and Vertex AI.

Tanya Akumu demonstrates how to use Hugging Face tools to analyze ultrasound image data. You’ll learn how to apply AI models to image data, explore techniques for interpreting results, and work through a real-world use case.

Learn how to construct the RAG pipeline, evaluate response quality, and apply it to real-world use cases.

Frank Nillard, guides you through building your first AI agent using n8n.