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Course : Deploy multi-agent systems using the Agent Development Kit and Agent EngineOfficial Course: Preparation for Google Cloud Certifications
Practical course - 1d
- 7h00 - Ref. GDK
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 | Create an agent with tools using the Google Agent Development Kit. |
| Set up interactions between multiple agents using parent-child relationships and flows. |
| Use features such as session memory, artifact storage, and callbacks. |
| Deploy a multi-agent application on Agent Engine. |
| Query an agent application running on Agent Engine. |
| Evaluating agents in the Agent Development Kit. |
Intended audience
Machine learning engineers, generative AI engineers.
Prerequisites
A solid foundation in Python, an understanding of generative AI and prompt engineering, experience using AI tools, a basic understanding of cloud computing and Vertex AI, and a good command of written English.
Practical details
Teaching methods
The training session will be conducted in French. Official course materials are available in English and in digital format.
Course schedule
1 Introduction to the Google Agent Development Kit
- An Introduction to ADK Architecture.
- Creating the first agent.
- Comparison with LangChain and the Google Gen AI SDK.
- Parameters and Structure of an ADK Agent.
Hands-on work
Creating and running a simple agent.
2 Add tools to agents
- Development and integration of tools.
- Typing, docstrings, and best practices.
- Using LangChain Tools with ADK.
- Tool Call Management.
Hands-on work
Development of an agent using multiple tools.
3 Building Multi-Agent Systems
- Parent-child relationships among agents.
- Workflows and Interaction Orchestration.
- Callbacks, session memory, and artifact storage.
- Communication and coordination among staff members.
Hands-on work
Creation of a comprehensive multi-agent workflow.
4 Deployment and Evaluation on Agent Engine
- Deployment on the Vertex AI Agent Engine.
- Execution and Queries for Multi-Agent Applications.
- Infrastructure and scaling management.
- Evaluation and monitoring of ADK agents.
Hands-on work
Deployment and testing of a multi-agent application on Agent Engine.
PARTICIPANTS
Machine learning engineers, generative AI engineers.
PREREQUISITES
A solid foundation in Python, an understanding of generative AI and prompt engineering, experience using AI tools, a basic understanding of cloud computing and Vertex AI, and a good command of written English.
TRAINER QUALIFICATIONS
The experts who lead the training courses are specialists in the subjects covered. They are approved by the publisher and certified for the course. They have also been validated by our teaching teams in terms of both professional knowledge and teaching skills for each course they teach. They have at least three to ten years of experience in their field and hold or have held positions of responsibility in companies.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training course.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you have specific accessibility requirements? Contact Ms FOSSE, disability advisor, at the following address: psh-accueil@orsys.fr so that we can assess your request and its feasibility.
Machine learning engineers, generative AI engineers.
PREREQUISITES
A solid foundation in Python, an understanding of generative AI and prompt engineering, experience using AI tools, a basic understanding of cloud computing and Vertex AI, and a good command of written English.
TRAINER QUALIFICATIONS
The experts who lead the training courses are specialists in the subjects covered. They are approved by the publisher and certified for the course. They have also been validated by our teaching teams in terms of both professional knowledge and teaching skills for each course they teach. They have at least three to ten years of experience in their field and hold or have held positions of responsibility in companies.
ASSESSMENT TERMS
Assessment of targeted skills prior to training.
Assessment by the participant, at the end of the training course, of the skills acquired during the training course.
Validation by the trainer of the participant's learning outcomes, specifying the tools used: multiple-choice questions, role-playing exercises, etc.
At the end of each training course, ITTCERT provides participants with a course evaluation questionnaire, which is then analysed by our teaching teams. Participants also complete an official evaluation of the publisher.
An attendance sheet for each half-day of attendance is provided at the end of the training course, along with a certificate of completion if the participant has attended the entire session.
Assessment of targeted skills prior to training.
Assessment by the participant, at the end of the training course, of the skills acquired during the training course.
Validation by the trainer of the participant's learning outcomes, specifying the tools used: multiple-choice questions, role-playing exercises, etc.
At the end of each training course, ITTCERT provides participants with a course evaluation questionnaire, which is then analysed by our teaching teams. Participants also complete an official evaluation of the publisher.
An attendance sheet for each half-day of attendance is provided at the end of the training course, along with a certificate of completion if the participant has attended the entire session.
TEACHING AIDS AND TECHNICAL RESOURCES
The teaching resources used are the publisher's official materials and practical exercises.
The teaching resources used are the publisher's official materials and practical exercises.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training course.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you have specific accessibility requirements? Contact Ms FOSSE, disability advisor, at the following address: psh-accueil@orsys.fr so that we can assess your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
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This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.