Course Overview of Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

This instructor-led course focuses on building and deploying advanced multi-agent systems using Google Agent Development Kit (ADK) and Vertex AI Agent Engine. Participants will learn how to create intelligent AI agents equipped with tools, connect multiple agents using parent-child relationships and flows, and deploy scalable agentic applications on Google Cloud. 

The course covers agent orchestration, tool integration, callbacks, session memory, artifact storage, deployment workflows, and evaluation strategies for AI agents. Learners will also explore how Vertex AI Agent Engine manages infrastructure, scaling, and operational complexity for production-grade multi-agent systems. 

Through hands-on labs and guided implementation exercises, participants will gain practical experience developing coordinated agentic workflows and deploying enterprise-ready AI agent applications on Google Cloud.

After completing Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine , participants will be able to:

  • Build intelligent agents using Agent Development Kit (ADK)
  • Integrate tools into AI agents for extended functionality
  • Create parent-child relationships between multiple agents
  • Design and manage multi-agent interaction flows
  • Utilize session memory, artifact storage, and callbacks
  • Deploy AI agents to Vertex AI Agent Engine
  • Query and interact with deployed multi-agent applications
  • Evaluate AI agents within the Agent Development Kit
  • Build scalable and coordinated multi-agent systems
  • Understand deployment and operational best practices for agentic applications

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Key Features of Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

  •  Advanced Multi-Agent Development Training

     

  • Hands-On Learning Experience

     

  • Agent Development Kit (ADK) Deep Dive

     

  • Tool Integration for AI Agents

     

  • Multi-Agent Coordination and Flows

     

  • Deployment on Vertex AI Agent Engine

     

  • AI Agent Evaluation and Observability

     

  • Google Cloud AI Ecosystem Exposure

     

Who Should Attend Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

  • Machine learning engineers
  • Generative AI Engineers
  • AI Developers
  • Application Developers
  • Conversational AI Developers
  • Cloud Engineers
  • Solution Architects
  • Professionals building multi-agent AI systems

What are the prerequisites for Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

  • Python programming knowledge
  • Generative AI prompt engineering fundamentals
  • Understanding of AI tool usage concepts
  • Familiarity with Generative AI and conversational AI systems
  • Interest in AI agents and multi-agent architectures

    • Why choose CloudThat as your training partner for Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

    • Specialized Google Cloud AI Expertise  CloudThat specializes in cloud and Generative AI technologies, delivering industry-focused Google Cloud AI training programs with practical enterprise implementation experience.
    •  Industry-Recognized Trainers  Our trainers are certified Google Cloud professionals with expertise in Vertex AI, AI agents, ADK, LangChain, and enterprise agentic application architectures.
    • Hands-On Learning Approach  CloudThat emphasizes practical learning through guided labs, deployment workflows, multi-agent orchestration exercises, and real-world AI implementation scenarios. 
    • Customized Learning Paths  Training programs are designed for developers, AI engineers, architects, and cloud professionals with varying levels of AI and agentic system expertise. 
    • Interactive and Practical Sessions  Sessions include live demonstrations, architecture discussions, implementation walkthroughs, troubleshooting exercises, and collaborative AI activities. 
    • Career and Certification Support  CloudThat supports learners with AI project guidance, interview preparation, and practical enterprise Generative AI implementation strategies. 
    •  Updated Industry-Relevant Content  Course content is continuously updated to align with the latest advancements in AI agents, ADK, Vertex AI Agent Engine, and enterprise AI orchestration technologies. 
    • Trusted by Enterprises Worldwide  Thousands of professionals and organizations trust CloudThat for advanced cloud, AI, and Generative AI training programs. 

    Learning objective of Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

    • Build intelligent AI agents using Agent Development Kit 
    • Integrate tools and workflows into AI agents 
    • Create scalable multi-agent systems and orchestration patterns
    • Design parent-child agent relationships and communication flows
    • Deploy AI agents using Vertex AI Agent Engine 
    • Utilize session memory, artifact storage, and callbacks 
    • Evaluate AI agent performance and workflows
    • Implement enterprise-grade agentic applications on Google Cloud 
    • Understand operational best practices for multi-agent systems 
    • Build coordinated AI workflows for enterprise use cases

    Course Outline for Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine Download Course Outline

    Lecture Content

    • Basics of Building an Agent in Agent Development Kit
    • ADK Architecture and Concepts
    • Comparing ADK with Google Gen AI SDK and LangChain
    • Parameters Used to Build Agents
    • Agent Configuration Best Practices

    Learning Objectives

    • Understand Agent Development Kit architecture and workflows
    • Compare ADK with alternative agent development frameworks
    • Configure and build AI agents using ADK parameters

    Lab Content

    • Lab: Get Started with Agent Development Kit (ADK)

    Lecture Content

    • Enhancing Agents with Tools
    • Structured Docstrings and Typing
    • Tool Function Design Best Practices
    • Common Tools Available in ADK
    • LangChain Tool Integration
    • Tool-Based Agent Workflows

    Learning Objectives

    • Understand the importance of structured tool definitions
    • Integrate tools into AI agents
    • Utilize LangChain tools with ADK agents
    • Extend AI agent capabilities using external tools

    Lab Content

    • Lab: Empower ADK Agents with Tools

    Lecture Content

    • Managing Communication Between Agents
    • Parent-Child Agent Relationships
    • Agent Flow Options and Use Cases
    • Coordinated Responses and Task Sharing
    • Callbacks for Content Control
    • Multi-Agent Workflow Design Principles

    Learning Objectives

    • Create and manage multiple agents
    • Design parent-child relationships for agents
    • Implement coordinated multi-agent workflows
    • Utilize callbacks for content and workflow control

    Lab Content

    • Lab: Build Multi-Agent Systems with ADK

    • Deploying Agents to Agent Engine
    • Benefits of Agent Engine vs Self-Hosting
    • Infrastructure and Scaling Concepts
    • Querying Deployed Agent Applications
    • Managed Agentic Workflows on Google Cloud

  • Evaluate agents within the Agent Development Kit.
  • Use the web interface to view evaluations

    • Evaluate agents within the Agent Development Kit
    • 1 Lab

    Certification details for Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

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    Course ID: 25216

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    FAQs of Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine

    This course is designed for ML engineers, Generative AI engineers, and developers interested in building and deploying multi-agent systems on Google Cloud.

    The course covers Agent Development Kit (ADK), multi-agent orchestration, tool integration, deployment to Agent Engine, callbacks, session memory, and AI agent evaluation.

    Yes, Python programming knowledge is recommended.

    The course duration is approximately 1 day instructor-led or on-demand training.

    Yes, the course includes multiple practical labs focused on ADK, multi-agent workflows, deployment, and evaluation.

    ADK is Google’s framework for building intelligent AI agents and multi-agent systems.

    Vertex AI Agent Engine is a managed platform for deploying, scaling, and managing agentic AI applications on Google Cloud.

    Yes, learners will explore parent-child relationships, task sharing, callbacks, and coordinated multi-agent workflows.

    Yes, learners will deploy AI agents to Vertex AI Agent Engine and query deployed applications.

    Yes, this is an advanced-level course intended for professionals familiar with Generative AI, prompt engineering, and Python development.

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