Google Courses

Gemini 3 and Generative UI in Google Search - Deep Dive into AI-Powered Interactive Design

Explore how Gemini 3 transforms Google Search with Generative UI, creating interactive simulations and bespoke designs powered by AI models for enhanced user experiences.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Build Your First TypeScript Agent with Google Agent Development Kit

Discover Google's Agent Development Kit for TypeScript and build AI agents with this modular framework in just 16 minutes.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Machine Learning for Web Developers - Web ML

Discover how to integrate machine learning into web applications using TensorFlow.js, from pre-trained models to custom neural networks and transfer learning techniques.

• YouTube
• 7 hours 54 minutes
• Self-Paced
• Free Video

Machine Learning Foundations

Master machine learning fundamentals with TensorFlow, covering neural networks, computer vision, CNNs, and natural language processing through hands-on coding examples.

• YouTube
• 2 hours 11 minutes
• Self-Paced
• Free Video

Introduction to R Programming for Developers

Discover R programming fundamentals through hands-on tutorials covering variables, vectors, data frames, functions, and essential programming concepts for developers.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

How to Secure Your AI Agents - A Technical Deep-Dive

Master AI agent security through OWASP LLM Top 10, Model Armor implementation, PII redaction, and authentication patterns using Google's Agent Development Kit.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

NumPy and JAX NumPy Comparison - Part 1

Discover how JAX NumPy leverages familiar NumPy APIs while delivering superior performance for high-performance computing and machine learning applications.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Why JAX and Flax NNX - Exploring High-Performance Neural Network Development

Discover JAX's high-performance computing capabilities and Flax NNX's user-friendly neural network building for advanced AI, ML, and scientific computing applications.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Efficient Data Loading with Google's Grain Library for JAX

Explore Google's Grain library for efficient data loading in JAX, covering core components, APIs, and integration with Flax NNX to prevent GPU/TPU bottlenecks.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Checkpointing Flax NNX Models with Orbax - Part 1

Discover how to save and restore Flax NNX models using Orbax, JAX's standard checkpointing library. Learn state management, Orbax structure, and complete workflows for model persistence.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Scaling Up - Sharding and Parallelism Part 3

Explore advanced sharding and parallelism techniques with complete training loops, data loading, checkpointing, and practical Transformer implementation examples.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Serving JAX Models with vLLM and SGLang

Discover how to integrate JAX models into enterprise ML workflows using vLLM and SGLang serving frameworks for seamless infrastructure adoption.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Introducing Flax NNX - Neural Network Library for JAX - Part 1

Discover Flax NNX, Google's new neural network library for JAX that simplifies ML development with intuitive model structure and state management concepts.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Enhancing Reliability with Chex - Advanced Debugging Tools and Flax NNX Integration - Part 2

Discover advanced Chex debugging tools for values and performance, then apply them within Flax NNX models to enhance JAX development reliability.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Scaling Up JAX and Flax NNX Models with Distributed Computing - Part 2

Discover JAX's SPMD paradigm for scaling Flax NNX models beyond single accelerators, focusing on sharding primitives and critical sharded initialization patterns.

• YouTube
• 11 minutes
• Self-Paced
• Free Video