Develop Search and Agents with AI Applications
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Learning Track
Generative AI
Delivery methods
On-Site, Virtual
Duration
1 day
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 multiagent workflows.
Learning Objectives
- 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
Prerequisites
Knowledge of generative AI basic concepts and programming knowledge (Python).
Course outline
- Vertex AI for generative AI
- AI Applications: Search, Recommendations, and Agents
- Use cases for Vertex AI Search and Agents
- Basic concepts: apps, engines, and data stores
- Data sources and preparing data
- Creating a data store
- Configuring Vertex AI Search
- Deploy Vertex AI Search
- 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
- Customer Engagement Suite (CES)
- Deterministic vs. generative agents
- Playbooks
- Data store tools
- 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
