This learning path, "Agentic AI on Google Cloud," guides learners through the principles, development, and deployment of intelligent multi-agent systems. The content focuses on leveraging key Google Cloud technologies, including an introduction to Gemini Enterprise, and practical skills in building and securing multi-agent architectures using the Agent Development Kit (ADK). Upon completion, learners will be able to accelerate knowledge exchange, integrate with enterprise databases, and deploy secure, advanced AI agent solutions on Google Cloud.
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Understand Google Cloud Agents
This course provides a comprehensive overview of Google Cloud's agent platforms, including Vertex AI Agent Builder, Gemini Enterprise, Conversational Agents, and the Agent Development Kit. Learners will understand the unique capabilities of each offering, distinguish between the optimal solution for specific use cases, and gain foundational knowledge in creating search and chat applications.
Introduction to Gemini Enterprise
This course introduces Gemini Enteprise, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges. Through real-world examples and hands-on exploration, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles.
Accelerate Knowledge Exchange with Gemini Enterprise
Unite Google’s expertise in search and AI with Gemini Enterprise, a powerful tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Gemini Enterprise assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
Unlock Insights with NotebookLM
In this course, you will learn how to centralize diverse sources like PDFs, web pages, and even audio files into a single, intelligent workspace. You will learn to chat with your documents to find specific information, generate instant summaries, and verify answers with AI-powered citations.
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
In this course, you’ll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You’ll run your agents locally and deploy them to Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine.
Please note these labs are based off a pre-released version of this product. There may be some lag on these labs as we provide maintenance updates.
Build intelligent agents with Agent Development Kit (ADK)
This structured course is for developers interested in building intelligent agents using the Agent Development Kit (ADK). It combines hands-on experience, core concepts, and practical application, to provide a comprehensive guide to using ADK. You can also join our community of Google Cloud experts and peers to ask questions, collaborate on answers, and connect with the Googlers making the products you use every day.
Build AI Agents with Enterprise Databases
Build AI agents that can leverage enterprise databases using the MCP Toolbox for Databases. You will define secure database interaction tools, and implement intelligent querying capabilities (leveraging vector embeddings, structured queries).
Model Armor: Securing AI Deployments
This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications.
Deploy Multi-Agent Architectures
Complete the advanced Deploy Multi-Agent Architectures skill badge to demonstrate skills in the following: building multi-agent systems with ADK, connecting agents with the Agent-to-Agent (A2A) protocol, integrating external tools using the Model Context Protocol (MCP), and deploying a complete multi-agent solution to Agent Engine.
Also See : Google AI Professional Certificate
