Browse Lessons

Why use GKE to deploy models?

Platform engineering with Cloud Run

Conversational vs non-conversational AI agents

Build a better AI model by fine tuning Gemini

Fine tuning Gemini with Google AI Studio

How Gemini helps predict wildfire behavior

How a cloud architect predicts wildfire behavior with Google Cloud

How a startup founder uses Google Cloud to predict wildfire behavior

How a software engineer predicts wildfire behavior with Google Cloud

Cloud Load Balancer, the secret to uptime for AI inference

Develop with AI Hypercomputer

Cost-efficient AI inference

Cluster toolkit: The secret to making AI setup easy

The secret to cost-efficient AI inference

How Improving Aviation uses Gemini and Google Cloud to predict and combat wildfires

Understanding and unifying Looker and Looker Studio

Agentic AI: Workflows vs. agents

Fine-tuning use cases

Connect your language model with external systems and APIs

Function calling with the Gemini API

Looker Reports: an end-to-end demo

Gemini 2.0 and the Gen AI SDK: A powerful duo

Kubernetes jobs for batch workload

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