technifyed

Google Cloud via Coursera Learning path or series

AI Agents with Vertex AI Reasoning Engine and Agent Builder

Overview

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.

Courses in this learning path or series 6

  1. Agentic Strategy: Discover, Design, and Prototype
  2. Understand Google Cloud Agents
  3. Integrate Search in Applications using Vertex AI Agent Builder
  4. Build and Deploy an Agent with Reasoning Engine in Vertex AI
  5. Build AI Agents with Enterprise Databases
  6. Build AI Agents with Agent Platform and Flutter

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From Google, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (6 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Google is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (88/100). They build what they teach.

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