Szkolenia Google Cloud

Cel szkolenia

kod: GC-T-AFDSMA-A | wersja: 1.0

In this course, you’ll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You’ll run your agents locally and deploy them to Agent Runtime to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Runtime.

 

What you'll learn:

  • Build an agent with tools using the Google Agent Development Kit.
  • Establish interaction patterns between multiple agents with parent child relationships and flows.
  • Utilize features such as session memory, artifact storage, and callbacks.
  • Deploy a multi-agent app to Agent Runtime.
  • Query an agent app running on Agent Runtime.
  • Evaluate agents within the Agent Development Kit.

 

Audience

Machine learning engineers, Gen AI engineers.

 

Products

  • Agent Runtime on Gemini Enterprise Agent Platform
  • Agent Retrieval on Gemini Enterprise Agent Platform
  • Agent Gateway
  • Agent Development Kit

Plan szkolenia Rozwiń listę

  • Module 1 - Get started with the Agent Development Kit
    • Topics:
      • Basics of building an agent in the Agent Development Kit.
    • Objectives:
      • Explain how the Agent Development Kit compares to other tools such as the Google Gen AI SDK or LangChain.
      • Describe the parameters used to build an agent in Agent Development Kit.
  • Module 2 - Empower Agent Development Kit agents with tools
    • Topics:
      • Enhance agents with tools and cover the growing breadth of available tools.
    • Objectives:
      • Discuss the importance of structured docstrings and typing when writing tool functions for agents.
      • Demonstrate the ability to provide tools to an agent.
      • List common and useful tools available for the Agent Development Kit agents, including LangChain Tools.
  • Module 3 - Build multi-agent systems with Agent Development Kit
    • Topics:
      • Manage communication and task-sharing between agents through parent-child relationships and flows to enable coordinated responses to queries.
    • Objectives:
      • Describe the directory structure and naming conventions encouraged by the Agent Development Kit.
      • Demonstrate the ability to create multiple agents and relate them to one another with parent-child relationships.
      • Describe the different flow options and when you might use them.
      • Get responses that have passed through multiple agents.
      • Control content at different points with callbacks.
  • Module 4 - Deploy Agent Development Kit agents to Agent Runtime
    • Topics:
      • Deploying agent apps to Agent Runtime and querying responses.
    • Objectives:
      • Describe the benefits of deploying agents, especially multi-agent systems, to Agent Runtime over self-hosting, such as in Agent Platform online predictions.
      • Demonstrate deploying to Agent Runtime.
      • Demonstrate querying a deployed agent app.
  • Module 5 - Evaluate agent systems
    • Topics:
      • Evaluate agents within the Agent Development Kit.
    • Objectives:
      • Run programmatic evaluation benchmarks on multi-agent workflows using the Agent Development Kit.
      • Inspect and analyze evaluation metrics utilizing the diagnostic web interface.
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Dodatkowe informacje

Wymagania wstępne

Python, gen AI prompt engineering, gen AI tool use.
Poziom trudności
Czas trwania 1 dzień
Certyfikat

The participants will obtain certificates signed by Google Cloud (course completion).
Prowadzący

Authorized Google Cloud Trainer

Pozostałe szkolenia Google Cloud | Generative AI

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