Course Overview

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. You’ll also discover how to use tools like Amazon Q Developer, Amazon Quick Suite, Kiro, Strands Agents SDK, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.

After completing this course of training, you will be able to:

  • Explain the fundamentals of agentic AI and how it differs from traditional AI and conversational systems
  • Identify the key components and architectures of agentic AI systems.
  • Distinguish between workflow, autonomous, and hybrid agent patterns and their use cases.
  • Select appropriate AWS services for designing and deploying agentic AI solutions.
  • Use Amazon Q Developer, Amazon Quick Suite, and Kiro to enhance productivity and AI-driven workflows.
  • Build and customize AI agents using the Strands Agents SDK.
  • Develop task-specific agents to solve real-world business challenges.
  • Understand Amazon Bedrock AgentCore and its role in production-grade agentic AI applications.
  • Apply observability, interoperability, and best practices for deploying scalable agentic AI systems on AWS.

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Key Features of Agentic AI Foundations

  • One day instructor-led classroom training. 

  • Official AWS training material. 

  • Comprehensive exploration of the AWS agentic AI ecosystem, including Amazon Bedrock AgentCore, Amazon Q Developer, Amazon Quick Suite, and Kiro for designing autonomous AI solutions. 

  • AWS Official Hands-on labs. 

Who Should Attend Agentic AI Foundations:

  • 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 Quick Suite, and Amazon Bedrock AgentCore

Prerequisites Agentic AI Foundations:

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

Why choose CloudThat as your training partner 

  • Expert Instructors: Learn from AWS Authorized Instructor with extensive industry experience.
  • Proven expertise in Generative AI and Agentic AI implementations. 
  • Hands-On Learning: Emphasis on practical, hands-on labs and real-world demos to provide participants with valuable, applicable skills. 
  • Post-Training Support: CloudThat offers post-training support, additional resources, and forums for ongoing learning and development.

Learning objectives of the course 

  • 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
  • Identify basic implementation patterns for agentic AI  
  • Compare AWS service options for agentic AI  
  • Describe capabilities and use cases of Amazon Quick Suite, Amazon Q Developer, and Kiro  
  • Explain Strands Agents framework and its applications 
  • Build and customize a basic AI agent using Strands Agents SDK  
  • Develop a simple task-specific agent for real-world application using Strands Agents SDK  
  • Explain Amazon Bedrock AgentCore  
  • Describe observability and interoperability patterns for production agentic AI systems 

Course Outline Download Course Outline

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

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

  • Workflow patterns
  • Amazon Bedrock flows overview

  • AWS agentic AI solutions
  • Amazon Quick Suite
  • Amazon Q Developer
  • Hands-on lab: Accelerating software development using Amazon Q Developer
  • Kiro: AI-powered integrated development environment (IDE) with spec-driven development

  • Customizing agentic infrastructure
  • Observability and monitoring
  • Agent interoperability

  • Next steps and additional resources
  • Course summary

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Course ID: 25877

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FAQs: Agentic AI Foundations

No. This is a foundational-level course designed for learners who want to understand agentic AI concepts and explore AWS services and tools used to build AI agents.

Yes. The course includes hands-on labs where you will create and customize AI agents using the Strands Agents SDK and explore agentic AI development on AWS.

You will explore key AWS agentic AI offerings, including Amazon Q Developer, Amazon Quick Suite, Kiro, Strands Agents SDK, Amazon Bedrock Flows, and Amazon Bedrock AgentCore, and learn how they work together to build intelligent autonomous systems.

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