Browse Lessons

Building generative AI apps on Google Cloud with LangChain

Leveraging Google Kubernetes Engine and Pub/Sub to power research, trading, and risk

Take large scale AI from research to production with Google Cloud's AI Hypercomputer

Achieving unprecedented migration and modernization success: Lessons from Verizon

ML frameworks for generative AI development

Introducing Cloud Service Mesh: A fully managed global scale service mesh

Migrating from data centers – the benefits, challenges, and lessons learned

Accelerate your AI with Serverless

What’s new in AI: Explore Google Cloud’s latest tools for generative AI

Build an internal developer platform on Google Kubernetes Engine Enterprise

Your model. Your data. Your business: A privacy-first approach to generative AI

Build AI-powered games with Gemini and Flutter

Identities as the bedrock for Google Cloud security

Confidential computing and confidential accelerators for AI workloads

What's new in Cloud network security

Optimize costs and efficiency with new compute operations solutions

A cybersecurity expert's guide to securing AI products with Google SAIF

Harness AI for better business intelligence: What's new and how to apply it

Build production AI applications in Go

Cloud security threat briefing with Mandiant

How to get easy and affordable access to GPUs for AI/ML workloads

AI and modernization on your terms: from edge, to sovereign, to cross-cloud

BigQuery and BigLake: Real-world data products for AI/ML at scale

Least privilege: Move beyond default service accounts