AI Agents with Vertex AI Reasoning Engine and Agent Builder
Google Cloud via Coursera Specialization
Overview
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Build practical skills to design, develop, and deploy AI agents with Google Cloud. This Specialization takes you from agentic AI strategy and prototyping to enterprise data integration, orchestration, search, security, and deployment.
You’ll begin by identifying high-value agentic use cases, designing workflows, and prototyping agents with Google AI tools. You’ll then explore Google Cloud agent platforms and build generative AI experiences with Gemini, Flutter, and LangChain. As you progress, you’ll connect agents to enterprise databases with Model Context Protocol (MCP), use tools for SQL querying and semantic search, and work with embeddings and retrieval. You’ll also build and deploy an agent with Vertex AI and integrate enterprise search into applications with Vertex AI Agent Builder.
By the end, you’ll be able to:
Design and prototype agentic AI workflows for business use cases. Build and orchestrate AI agents using Google Cloud tools and platforms. Connect agents to enterprise databases, tools, and search. Deploy and integrate secure agent-based applications with Vertex AI.
This Specialization is designed for developers, cloud practitioners, technical learners, and business or technical leaders who want practical experience building enterprise AI agents with Google Cloud.
Syllabus
- Course 1: Agentic Strategy: Discover, Design, and Prototype
- Course 2: Understand Google Cloud Agents
- Course 3: Integrate Search in Applications using Vertex AI Agent Builder
- Course 4: Build and Deploy an Agent with Reasoning Engine in Vertex AI
- Course 5: Build AI Agents with Enterprise Databases
- Course 6: Build AI Agents with Agent Platform and Flutter
Courses
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This course provides a foundational understanding of Gemini models and their application in generative AI solutions. You will explore the tools available on the Gemini Enterprise Agent Platform to build search and reasoning capabilities for your apps. You will also work with Flutter, Google's UI framework used to build applications for multiple platforms from a single codebase.
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This is a self-paced lab that takes place in the Google Cloud console. This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.
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This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to build and deploy an agent (model, tools, and reasoning) using the Vertex AI SDK for Python.
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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).
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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.
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Step into the future with Agentic Strategy: Discover, Design, and Prototype. This course allows you to master the Google Agentic AI Transformation Framework and move beyond chatbots to autonomous teammates. Through a retail use case, you will learn to quantify business value, prioritize AI projects, map critical user journeys, and build functional prototypes using no-code tools like Google AI Studio and Gemini Enterprise. This course provides a solid roadmap necessary for business and technical leaders to lead their organization into the agentic AI era.
Taught by
Google Cloud Training