Browse Lessons

Towards Better Tech Solutions (Good Engineers Are Lazy)

Cleric AI SRE: Towards Self-healing Autonomous Software // Willem Pienaar // Agents in Production

The Future of CI/CD: Deploying GenAI Apps

How to Optimize Large AI Models with PyTorch

LLMs to agents: The Beauty & Perils of Investing in GenAI // VC Panel // Agents in Production

Why We Need More Data Science Podcasts

We Can All Be AI Engineers and We Can Do It with Open Source Models // Luke Marsden // Podcast #273

RAG: The Future of AI Search (and Prompt Engineering) // Reading Group

The Coming Revolution of AI Agents

EU AI Act: How COMPL-AI Can Help

AI Agents in Production [Behind The Scenes]

How UX Research Will Shape the Future of AI

How Memory Management Can Make Or Break Your ML Model

How to Actually Use Cost Effective AI in Your Business

Small Models, Big Ideas: The Next Frontier in AI

The EU AI Act: Navigating New Legislation // Podcast #271

LLMs as a Judge?

Context Windows Are About to Level Up 🔮

Why Your ML Models Aren't Making Money

Bridging the Gap Software Meets Data Science

Composable Memory for GPU Optimization // Bernie Wu // Pod #270

How to Scale Your MLOps: A Comparison of Strategies

Do You Really Need a Feature Store

Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // MLOps Podcast #269

MLOps Across Borders // Gottam Sai Bhrath & Cole Bailey // MLOps Podcast #263 clip

How Agentic Workflows Will Change Everything // Raj Rikhy // MLOps Podcast #268

Scrappy Startup Secrets Build or Buy Dilemma!

How to Use Differential Privacy in Your AI Prompts

The Future of Data: Composability & the Modular Data Stack

Scaling Data Reliably: A Journey in Growing Through Data Pain Points // Miriah Peterson // DE4AI

Chronon: Airbnb's Open-Source Data Platform

The Next Revolution in AI: LLMs and Beyond

How GPUs are Revolutionizing AI Data Management

Data Contracts: The Missing Piece of the Data Puzzle

Data Engineering: The Missing Piece of Your Data Science Puzzle

Common ML Serving Architectures Explained

Data Quality Management Techniques - The Complete Guide

How to Make Your Data Science Reproducible (and Why You Should Care)

The Future of Software Architecture for GenAI: Real-Time Data Streaming

How Data Capture Transforms ML Observability

Real-Time Event Processing for AI/ML with Numaflow // Sri Harsha Yayi // DE4AI

The Evolution of Lyft's Feature Store // Devon Mittow // DE4AI

Engineering Your AI Platform // Panel // DE4AI

The Only Constant is (Data) Change // Panel // DE4AI

Data Scientists & Data Engineers: How the Best Teams Work // Panel // DE4AI

Partnering with Product for Effective, quality Data Ingestion & Training Data // Daniela Santisteban

AI-Powered Data Unification for Data Platforms // Shelby Heinecke // DE4AI

Putting the AI back in Medallion Lake Design // Simon Whiteley