Build Interactive Agents with Generative UI

Become an AI power user 🌟 new course from Andrew Ng

📉 Turn your multimodal data into something you can actually query

New course! Spec-Driven Development

Boost LLM performance: New SGLang course is live 🚀

TensorFlow Developer Professional Certificate

Natural Language Processing Specialization by DeepLearning.AI

AI for Everyone by Andrew Ng

🎧 LoFi Beats for Coding & Focus: Calm Beats to Study, Build, and Think

Build Memory-Aware Agents

Build and Train an LLM with JAX

Generative Adversarial Networks (GANs) Specialization

TensorFlow: Advanced Techniques Specialization

TensorFlow: Data and Deployment Specialization

Use A2A to connect agents across different frameworks and teams

Learn to equip AI agents with reusable skills

Short course on Gemini CLI: Code & Create with an Open-Source Agent

New course! Document AI: From OCR to Agentic Doc Extraction

A new course on Retrieval Augmented Generation (RAG) is live!

Build your first app with AI. No coding background required

Make your AI agents production-ready with Nvidia’s NeMo Toolkit

Learn to implement multi-vector retrieval for image data in this new course

AI Dev 25 x NYC | Nyah Macklin: How to Structure Context to Make Your Agents Smarter

AI Dev 25 x NYC | Tyler Slaton: Build User Facing Agentic Applications with AG UI

AI Dev 25 x NYC | Tanveer Mittal, Utkarsh Lamba: Building with the Claude Agent SDK

AI Dev 25 x NYC | Stefano Pasquali: Building Trustworthy AI for Finance

AI Dev 25 x NYC | Scott Yak: Building MCP Servers That Make Agents More Effective

AI Dev 25 x NYC | Scott Hurrey: Scaling Enterprise AI with MCP and A2A

AI Dev 25 x NYC | Samraj Moorjani: Accelerate High quality Agent Development with MLflow

AI Dev 25 x NYC | Robert Crowe: JAX Made Simple: An Intuitive Guide to Building Fast Neural Networks

AI Dev 25 x NYC | Phillip Snalune: AI Upskilling: A Framework Agnostic Playbook to Scale Adoption

AI Dev 25 x NYC | Param Singh: Building with Mistral: Open, Powerful, and Ready to Scale

AI Dev 25 x NYC | Panel Discussion: Software Development in the Age of AI

AI Dev 25 x NYC | Panel: Building Trustworthy AI through Governance, Literacy, and Community

AI Dev 25 x NYC | Panel discussion: Breaking the Limits of AI Growth: from Hardware to Application

AI Dev 25 x NYC | Ori Goshen: Reliability Is the Bottleneck for Agents

AI Dev 25 x NYC | Nitin Kanukolanu: Semantic Caching for LLM Applications

AI Dev 25 x NYC Nicholas Clegg: How AWS Moved Beyond Orchestration with Strands SDK

AI Dev 25 x NYC | Manish Kapur: Assessing the Quality of AI Generated Code

Machine Learning in Production, now available at DeepLearning.AI

AI Dev 25 x NYC | Kay Zhu: How Genspark Built a Super Agent That Scales

AI Dev 25 x NYC | João Moura: Design, Develop, and Deploy Multi Agent Systems with CrewAI

AI Dev 25 x NYC | Jacky Liang: Why Agents Can't Find the Right Docs (And How Postgres Fixes It)

AI Dev 25 x NYC | Hatice Ozen: Build a Deep Research Agent with One API Call

AI Dev 25 x NYC | Gary Qi: TRAE: Redefining Coding Agents

AI Dev 25 x NYC | Eric Sondhi: Small AI: The Next Big Thing

Build GenAI app prototypes in days instead of months! Join our new course

AI Dev 25 x NYC | David Park: Impact of Agentic AI in Financial Services on Document Extraction

AI Dev 25 x NYC | David Loker: Context Engineering for AI Code Reviews w/ MCP & Open source Tooling

AI Dev 25 x NYC | Christoph Meyer, Lars Heling: Improving AI Agent Discovery with a Knowledge Graph

Enroll in DeepLearning.AI's Data Analytics Professional Certificate!

AI Dev 25 x NYC | Benjamin Han: Snowflake: A SQL Engine to Talk to Your Data

New course with E2B: Building Coding Agents with Tool Execution

AI Dev 25 x NYC | Andrew Ng: Opening Keynote

AI Dev 25 x NYC | Alex Ker: How Open source Models Actually Run AI Coding at Scale

AI Dev 25 x NYC | Aditya Dave, John Pepino: Productionizing AI Capabilities in Finance

AI Dev 25 x NYC | Aayush Kapoor: Vercel AI SDK: From Fundamentals to Deep Research

Generative AI for Everyone, a course from Andrew Ng, is live!

Mathematics for Machine Learning and Data Science Specialization by DeepLearning.AI

Deep Learning Specialization by DeepLearning.AI #BeADeepLearner