Skill up on AI in 2025.
AI isn’t a future state. It’s here to stay. With more than a decade of AI innovation and integration in the cloud, Google is your trusted partner in navigating this new reality.
What’s in this learning path?
- Introduction to AI and Machine Learning on Google Cloud
- Introduction to Generative AI for Decision Makers
- Writing Effective Prompts for Generative AI
- Industry Use Cases for Generative AI
- Application Development with LLMs on Google Cloud
- Introduction to Developer Efficiency with Gemini on Google Cloud
This Generative AI learning path guides you through a curated collection of content on Generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud.
Overview
Vertex AI Agent Builder lets developers, even those with limited machine learning skills, tap into the power of Google’s foundation models, search expertise, and conversational AI technologies to create enterprise-grade generative AI applications.
In this course, you learn how to use Vertex AI Agent Builder to create search engines and chat applications. You will then explore how to integrate these search engineers and chat applications into your own applications.
Finally, you learn how to manage the tools built in Vertex AI Agent Builder in production.
Limited Time Offer: Get up to 45% OFF selected Google Cloud courses in H2 2025 via our Google Cloud Certified program.
Skills Covered
- Explore Vertex AI as a platform for enterprise-ready generative AI.
- Create a search engine using Vertex AI Search.
- Create a chat application by using Vertex AI Agents.
- Integrate Vertex AI Agent Builder into your applications.
- Productionize search engines and chat applications created in Vertex AI Agent Builder.
Prerequisites
- Google Cloud Fundamentals: Core Infrastructure or equivalent Google Cloud experience
Target Audience
AI/ML Professionals
Introduction to Vertex AI Agent Builder
- Vertex AI
- Vertex AI Agent Builder
- Example use cases
- Explore Vertex AI as a platform for enterprise-ready generative AI.
- Describe example use cases of Vertex AI Agent Builder.
Module 2: Vertex AI Search
- Apps, engines and data stores
- Data preparation
- Creating a custom search engine
- Configuration options
- Understand the main concepts of apps, engines, and data stores.
- Create a search engine using Vertex AI Search.
- Configure and integrate custom search engines.
- Lab: Integrate Search in Applications Using Vertex AI Search
- Lab: Grounding LLMs Using Vertex AI Search
Module 3: Vertex AI Agents
- Dialogflow CX basic concepts
- Creating a chat app
- Opions deploying conversational agents
- Understand the basic concepts of data store agents and Dialogflow CX.
- Create a chat application by using Vertex AI Agents.
- Lab: Create a Generative Chat App with Vertex AI Agents
Module 4: Productionizing Vertex AI Agent Builder
- Refreshing data and schemas
- Security and DLP
- Monitoring and logging
- Troubleshooting
- Manage changing data and schemas in data stores.
- Explain security features of Vertex AI Agent Builder.
- Use monitoring and logging for Vertex AI Agent Builder apps.
- Troubleshoot Vertex AI Agent Builder applications.
- Lab: Maintaining Search Engines Using Vertex AI Search
Dates & Locations
September 10, 2026 - September 10, 2026
September 10, 2026 - September 10, 2026
December 10, 2026 - December 10, 2026
December 10, 2026 - December 10, 2026
Exam & Certification
No associated Google Cloud certification
Training & Certification Guide
Frequently Asked Questions
Speak to a Training Consultant
All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
