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Agentic AI Foundations

  • Référence GK910031
  • Durée 1 Jour

Modalité pédagogique

Classe inter en présentiel Prix

EUR875.00

hors TVA

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Modalité pédagogique

La formation est disponible dans les formats suivants:

  • Classe inter à distance

    Depuis n'importe quelle salle équipée d'une connexion internet, rejoignez la classe de formation délivrée en inter-entreprises.

  • Classe inter en présentiel

    Formation délivrée en inter-entreprises. Cette méthode d'apprentissage permet l'interactivité entre le formateur et les participants en classe.

  • Intra-entreprise

    Cette formation est délivrable en groupe privé, et adaptable selon les besoins de l’entreprise. Nous consulter.

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Résumé

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In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.

Prochaines dates

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    • Modalité: Classe inter en présentiel
    • Date: 06 mars, 2026 | 9:00 AM to 5:00 PM
    • Centre: LYON Villette (W. Europe )
    • Langue: Français

    EUR875.00

    • Modalité: Classe inter en présentiel
    • Date: 11 septembre, 2026 | 9:00 AM to 5:00 PM
    • Centre: LYON Villette (W. Europe )
    • Langue: Français

    EUR875.00

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Public

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This course is intended for:

    Software developers new to Agentic AI seeking foundational knowledge

    Technical professionals exploring AI capabilities and interested in core components and applications of agentic AI

    Development teams evaluating Agentic AI solutions and needing to differentiate between agent types

    AWS Users expanding into Agentic AI, including current users of Amazon Q Developer, Amazon Q Business, and Amazon Bedrock Agents

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Objectifs de la formation

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After completing this course you should be able to:

  • Summarize the evolution of Agentic AI and define what makes something "agentic"
  • Identify core components of agentic systems
  • Distinguish between workflow, autonomous, and hybrid agents
  • Compare AWS service options for Agentic AI
  • Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
  • Explain Amazon Bedrock AgentCore and Amazon Bedrock Agents fundamentals
  • Identify basic implementation patterns for Agentic AI
  • Describe observability and interoperability patterns for production agentic AI systems
Plus...

Programme détaillé

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Module 1: From LLMs to Agents

  • Understanding Large Language Models (LLMs) • Innovations powering agents
  • Evolution timeline from LLMs to Agents

Module 2: Exploring Agentic AI

  • Understanding Agentic AI
  • Types of AI agents
  • Agentic AI applications

Module 3: Understanding Agentic AI Workflows

  • Workflow patterns
  • Amazon Bedrock flows overview

Module 4: Introducing Autonomous Agents

  • How Autonomous Agents work
  • ReAct
  • ReWoo
  • Multi-agent collaboration
  • AWS Agentic AI solutions

Module 5: Amazon Q and Agentic Development Tools

  • Amazon Q Developer
  • Amazon Q Business
  • Amazon Q in AWS Services
  • Kiro: AI-powered IDE with spec-driven development

Module 6: Agentic AI with Amazon Bedrock

  • Amazon Bedrock Agents
  • Amazon Bedrock AgentCore
  • Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails

Module 7: Building DIY Solutions

  • DIY solutions
  • Observability and Monitoring
  • Agent Interoperability

Module 8: Course Wrap-up

  • Next steps and additional resources
  • Course summary
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Pré-requis

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Attendees should meet the following pre-requisites:

  • Generative AI Essentials or equivalent work experience
  • Basic AWS knowledge and software development experience

 

Pré-requis recommandés :
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Certification

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Recommended as preparation for the following exams:

  • There is no exam currently linked to this course.

 

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