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.
Applied Learning Project
Throughout this Specialization, you’ll apply agentic AI concepts through hands-on labs, prototypes, and application-building activities. You’ll identify and prioritize agentic use cases, prototype an AI agent with Google AI tools, and integrate an AI agent into an application. You’ll connect agents to enterprise databases and build tools for intelligent querying and retrieval. You’ll also build, test, customize, and deploy an agent with Vertex AI, work with structured and unstructured enterprise data, and integrate search into an application. These activities help you move from agent strategy and design to practical development, data integration, orchestration, and deployment.
