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Course : Agentic AI FoundationsOfficial AWS Course
Practical course - 1d
- 7h00 - Ref. AW0
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 | Understanding the Evolution of Agent-Based AI, Its Principles, and Its Fundamental Components |
| Distinguish between the different types of agents: workflow-based, standalone, and hybrid |
| Compare the different AWS approaches and services for agent-based AI |
| Understanding the Features and Use Cases of Amazon Q, Kiro, Amazon AgentCore, and Amazon Bedrock Agents |
| Identify the main models for implementing and operating agent-based AI |
Intended audience
Developers and technical professionals new to agent-based AI.
Prerequisites
Essential knowledge of generative AI or equivalent experience. Basic knowledge of AWS and experience in software development. Good written English skills.
Certification
This training course does not lead to an AWS certification.
Comment passer votre examen ?
Comment passer votre examen ?
Course schedule
1 From LLMs to Agents
- Understanding Large Language Models (LLMs).
- Innovations Behind the Agents.
- The Evolution of LLMs Toward Agents.
2 Discover Agent-Based AI
- Understanding Agent-Based AI.
- Types of AI Agents.
- Applications of Agent-Based AI.
3 Understanding Agent-Based AI Workflows
- Workflow Templates.
- Introducing Amazon Bedrock Flows.
Demonstration
Amazon Bedrock Flows.
4 Introduction to Autonomous Agents
- How Autonomous Agents Work.
- ReAct.
- ReWoo.
- Multi-agent collaboration.
- AWS Agent-Based AI Solutions.
5 Amazon Q and Agent Development Tools
- Amazon Q Developer.
- Amazon Q Business.
- Amazon Q in AWS Services.
- Kiro: An AI-based IDE and specification-driven development.
Demonstration
Amazon Q.
6 Agent-Based AI with Amazon Bedrock
- Amazon Bedrock Agents.
- Amazon Bedrock AgentCore.
Hands-on work
Exploring Amazon Bedrock Agents with Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails.
7 Create Your Own Solutions
- Custom Solutions (DIY).
- Observability and Monitoring.
- Agent Interoperability.
8 Course Conclusion
- Next Steps and Additional Resources.
- Course Summary.
PARTICIPANTS
Developers and technical professionals new to agent-based AI.
PREREQUISITES
Essential knowledge of generative AI or equivalent experience. Basic knowledge of AWS and experience in software development. Good written English skills.
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.
Developers and technical professionals new to agent-based AI.
PREREQUISITES
Essential knowledge of generative AI or equivalent experience. Basic knowledge of AWS and experience in software development. Good written English skills.
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.