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Overview

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 Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine.
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What You'll Learn

  • 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.
  • 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.
  • 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.
  • Describe the benefits of deploying agents, especially Multi-Agent Systems, to Agent Engine over self-hosting, such as in Vertex AI online predictions.
  • Demonstrate deploying to Agent Engine.
  • Demonstrate querying a deployed agent app.
  • Evaluate agents within the Agent Development Kit.
  • Use the web interface to view evaluations.
  • Utilize sessions in an agent.
  • View and debug sessions in the Agent Framework web UI.
  • Utilize artifact storage.

Who Should Attend

Technical roles from partner organizations:

  • Machine learning engineers
  • Gen AI engineers
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Prerequisites

Python, gen AI prompt engineering, gen AI tool use

Learning Journey

Coming Soon...

Module 01    Get started with the Agent Development Kit

  • Basics of building an agent in the Agent Development Kit.

Module 02    Empower Agent Development Kit agents with tools

  • Enhance agents with tools and cover the growing breadth of available tools.

Module 03    Build Multi-Agent Systems with Agent Development Kit

  • Manage communication and task-sharing between agents through parent-child relationships and flows to enable coordinated responses to queries.

Module 04    Deploy Agent Development Kit agents to Agent Engine

  • Deploying agent apps to Agent Engine and querying responses.

Module 05    Evaluate agent systems

  • Evaluate agents within the Agent Development Kit.

Module 06    Provide agents session memory and artifact storage

  • Provide agents session memory to iterate on a current state. Grant agents access to documents to enable them to craft and refine documents.

 

 

Frequently Asked Questions (FAQs)

  • Why get Google Cloud Platform (GCP) certified?

    Google Cloud certifications validate your expertise in cloud technologies and your proficiency in using Google Cloud Platform's vast array of services.

    These certifications are recognized globally and highly sought after by employers, as they demonstrate your ability to design, develop, and manage scalable and secure cloud solutions on GCP.

    Google Cloud-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Google Cloud offers a variety of certification exams across different levels (Foundational, Associate, and Professional) covering various job roles and specializations.

    The exams typically consist of multiple-choice and multiple-select questions, as well as scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Google Cloud Platform (GCP) certification valid for?

    Most Google Cloud certifications, including Professional-level certifications, are valid for two years from the date of passing the exam.

    The Cloud Digital Leader and Associate Cloud Engineer certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the same exam or an equivalent higher-level certification exam before your current certification expires.

    You will receive a notification from Google Cloud prior to your certification's expiration date.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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Course Curriculum

Course Curriculum

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Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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