Gemini Enterprise Agent Platform

About this course

Welcome to the comprehensive guide on the Gemini Enterprise Agent Platform, Google's robust ecosystem for building, scaling, governing, and optimizing enterprise-grade AI agents. As AI continues to evolve, the transition from local, experimental setups to scalable production systems is essential. This course bridges that gap, teaching you how to utilize Google Cloud's advanced tools to create reliable and scalable agentic systems.

The course is structured around four core pillars of enterprise AI agent development:1. Build: Start by constructing your AI agent locally using the Google Agent Development Kit (ADK) and the powerful Gemini models. We will equip the agent with tools to perform meaningful actions and tasks.2. Scale: Learn how to deploy your agent using Agent Runtime on Google Cloud. You will master managing Agent Sessions, allowing your agent to track conversations.3. Govern: Ensure your agent operates securely and within organizational policies. We cover managing agent identity with IAM (Identity and Access Management) and enforcing content security rules using Model Armor to filter inputs and outputs safely.4. Optimize: Continuous improvement is key. You will learn to use observability tools, OpenTelemetry, and traces to monitor agent performance.

What this course does not cover:1. Google ADK details - for that please refer to the ADK course.

To solidify your learning, we will complete a hands-on course project: building an agent that transforms a LinkedIn profile into a fully deployed personal webpage on Firebase Hosting. Whether you are a Python developer, AI engineer, or technical architect, this course provides everything you need to build and deploy production-ready AI agents on Google Cloud.

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