Course
digicode: DSAAIA
Develop Search and Agents with AI Applications
Learn how to use Agent Search and Conversational Agents to create search engines and chat applications.
Duration
1 day
Price
800.–
Course facts
Download as PDF- Exploring Agent Platform as a platform for enterprise-ready generative AI
- Creating and deploying a search engine using Agent Search
- Grounding outputs from foundation models using Agent Search
- Creating a chat application using natural language in Conversational Agents
- Integrating your agents into multi-agent workflows using Agent Development Kit and App Builder in Agent Studio
You will learn how to leverage Agent 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.
1 Agent Platform and AI Applications
- Agent Platform for generative AI
- AI Applications: Search, Recommendations, and Agents
- Use cases for Agent Search and Agents
- Explore the options in Agent Platform for generative AI
- Identify the role of AI Applications: Search, Recommendations, and Agents
- Examine use cases for Agent Search and Agents
2 Agent Search
- Basic concepts: apps, engines, and data stores
- Data sources and preparing data
- Creating a data store
- Configuring Agent Search
- Deploy Agent Search
- 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
- Lab: Integrating Agent Search Into Your Application
3 Grounding Applications
- Why is grounding important?
- Retrieval augmented generation (RAG)
- Grounding options on Google Cloud
- Testing grounding in Agent Studio
- Grounding using the Agent Platform SDK
- Identify why grounding is important
- Leverage Retrieval-Augmented Generation (RAG)
- Use grounding options on Google Cloud
- Test grounding using the Agent Studio and SDK
- Lab: Grounding LLMs with Agent Search
4 Conversational Agents
- Customer Engagement Suite (CES)
- Deterministic vs. generative agents
- Playbooks
- Data store tools
- 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.
- Lab: Create a Conversational Agent Playbook that connects to an unstructured data store tool
5 Multi-agent Applications on Agent Platform
- Multi-agent applications and agentic AI
- Introduction to Agent Developer Kit (ADK)
- Agent Platform Agent Garden
- Agent Platform Agent Engine
- Putting it all together with AI Applications
- 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.
- Lab: Using ADK and multiple agents with AI Applications
Knowledge of generative AI basic concepts and programming knowledge (Python)
Products:
- Gemini
- AI Applications
- Agent Platform