Develop Search and Agents with AI Applications

In this course, you learn how to use Vertex AI Search and Conversational Agents to create search engines and chat applications.

You will learn how to leverage Vertex AI Search for grounding your gen AI-powered applications.

You will then explore how to integrate these search engines and chat applications into your own applications. Finally, you learn how to use the agents built in AI Applications in multi-agent workflows

• Explore Vertex AI as a platform for enterprise-ready generative AI.
• Create and deploy a search engine using Vertex AI Search.
• Ground outputs from foundation models using Vertex AI Search.
• Create a chat application using natural language in Conversational Agents.
• Integrate your agents into multi-agent workflows using Agent Development Kit and Vertex AI Agent Builder.

• AI/ML developers and engineers looking to integrate search and conversational features into their applications.
• Cloud architects and data engineers working on Google Cloud and seeking to leverage Vertex AI for real-world projects.
• Project managers and Product Owners who want to understand the capabilities of Vertex AI Search and conversational agents in order to lead AI projects.
• Digital transformation consultants aiming to deliver generative and conversational AI solutions to their clients.

Knowledge of generative AI basic concepts and programming knowledge (Python)

Module 01: Vertex AI and AI Applications

Topics

• Vertex AI for generative AI
• AI Applications: Search, Recommendations, and Agents
• Use cases for Vertex AI Search and Agents

Objectives

Module 02: Vertex AI Search

Topics

• Basic concepts: apps, engines, and data stores
• Data sources and preparing data
• Creating a data store
• Configuring Vertex AI Search
• Deploy Vertex AI Search

Objectives

Activities

• Lab: Integrating Vertex AI Search Into Your Application

Module 03: Grounding Applications

Topics

• Why is grounding important?
• Retrieval augmented generation (RAG)
• Grounding options on Google Cloud
• Testing grounding in Vertex AI Studio
• Grounding using the Vertex AI SDK

Objectives

• Identify why grounding is important.
• Leverage Retrieval-Augmented Generation (RAG).
• Use grounding options on Google Cloud.
• Test grounding using the Vertex AI Studio and SDK.

Activities

• Lab: Grounding LLMs with Vertex AI Search

Module 04: Conversational Agents

Topics

• Customer Engagement Suite (CES)
• Deterministic vs. generative agents
• Playbooks
• Data store tools

Objectives

• Create conversational agents.
• Manage conversations with playbooks.
• Use examples to improve a playbook’s response.
• Leverage data store tools to perform grounding for your playbook’s responses.

Activities

• Lab: Create a Conversational Agent Playbook that connects to an unstructured data store tool

Module 05: Multi-agent Applications on Vertex AI

Topics

• Multi-agent applications and agentic AI
• Introduction to Agent Developer Kit (ADK)
• Vertex AI Agent Garden
• Vertex AI Agent Engine
• Putting it all together with AI Applications

Objectives