T-DSAAIA-IOfficial Google Curriculum
Develop Search and Agents with AI Applications
1 dayInstructor ledIntermediateLoading...
Overview
Learn how to use Vertex AI Search and Conversational Agents to create search engines and chat applications. Leverage Vertex AI Search for grounding gen AI-powered applications and integrate agents into multi-agent workflows.
What You'll Learn
- 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
Who Should Attend
Customers
Prerequisites
Knowledge of generative AI basic concepts and programming knowledge (Python)
Products Covered
GeminiAI ApplicationsVertex AI
Course Modules
1
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
Learning Outcomes
- Explore the options in Vertex AI for generative AI
- Identify the role of AI Applications: Search, Recommendations, and Agents
- Examine use cases for Vertex AI Search and Agents
2
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
Learning Outcomes
- Create enterprise-grade generative AI applications with AI Applications
- Choose the appropriate engine for a search or conversation app
- Import data into a data store
- Create and configure a custom search app
Activities
Lab: Integrating Vertex AI Search Into Your Application
3
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
Learning Outcomes
- 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
4
Conversational Agents
Topics
- Customer Engagement Suite (CES)
- Deterministic vs. generative agents
- Playbooks
- Data store tools
Learning Outcomes
- 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
5
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
Learning Outcomes
- Explore the features and benefits of the Agent Development Kit (ADK)
- Accelerate agent development with Agent Garden
- Use ADK to build multi-agent applications
- Leverage a Data Store tool from an ADK agent
Activities
Lab: Using ADK and multiple agents with AI Applications
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- T-DSAAIA-I
- Duration
- 1 day
- Format
- Instructor led
- Level
- Intermediate
- Hands-on Labs
- 4
- Modules
- 5
- Activities
- 4
- Price
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