Agentic Development with AWS Kiro | AI Training
This intensive training course introduces developers to a new approach to software development based on agentic artificial intelligence. Using AWS Kiro, participants will learn how to work in an environment where AI actively contributes to design, code generation, task automation, and development lifecycle management.
The course covers Spec-Driven Development, AI agents, automation mechanisms using Agent Hooks, AI behavior control through Steering, and the integration of external tools through the Model Context Protocol (MCP).
Through several hands-on workshops and a complete capstone project, participants will develop an application using a modern end-to-end agentic development workflow.
Module 1 – Introduction to Agentic Development and AWS Kiro
- Overview of AWS Kiro
- Evolution of AI-Assisted Software Development
- The Concept of an Agentic IDE
- Traditional Development vs. Agentic Development
- Kiro Architecture and Components
- Use Cases and Benefits
- AI-Assisted Development Lifecycle
Module 2 – Getting Started with the AWS Kiro Environment
- Installing and Configuring Kiro
- Overview of the Interface
- Project Management
- Code Navigation
- Development Context Management
- Using Agentic Chat
- Interacting with AI Agents
Module 3 – Spec-Driven Development
- Introduction to Specification-Based Development
- The Requirements → Design → Tasks Approach
- Generating Specifications from Prompts
- Structure of Requirements Files
- Structure of Design Files
- Structure of Tasks Files
- Introduction to EARS Syntax
- Best Practices for Writing Specifications
Module 4 – Conversational Development and Code Generation
- Using AI Chat to Develop Features
- AI-Assisted Code Generation
- Understanding Project Context
- AI-Powered Code Analysis
- AI-Assisted Refactoring
- Intelligent Debugging
- AI-Powered Code Optimization
Module 5 – Automation with Agent Hooks
- Introduction to Agent Hooks
- Event-Driven Automation
- Triggers and Actions
- Test Automation
- Automated Documentation Generation
- Automating Quality Checks
- Automating Security Processes
Module 6 – Steering and AI Governance
- Overview of the Steering Mechanism
- Managing .kiro/steering Files
- Defining Development Standards
- Coding Conventions
- Controlling AI Behavior
- Managing Persistent Context
- Governance Best Practices
Module 7 – Integrating External Tools with MCP
- Introduction to the Model Context Protocol (MCP)
- MCP Server Architecture
- Connecting to External Services
- Integrating Third-Party APIs
- Automating External Interactions
- Practical Use Cases
- Security and Best Practices
Module 8 – Agentic Development Capstone Project
- Analyzing Project Requirements
- Writing Functional Specifications
- Automatically Generating Tasks
- AI-Assisted Development
- Workflow Automation
- Integrating External Tools Through MCP
- Project Validation and Optimization
- Presenting the Final Solution
Other course(s) in this category
→ AWS DevOps Training: Automation and Infrastructure as Code (IaC)
→ AWS DevOps & CI/CD Training | DevOps Professional Certification
Prerequisites:
- Basic programming knowledge.
- Experience using an integrated development environment (IDE).
- Basic understanding of software development and project management.
- Familiarity with generative AI tools is an asset.
Objectives:
- Understand the concepts of agentic development and the AWS Kiro ecosystem.
- Use artificial intelligence to support software development.
- Design projects using spec-driven development.
- Generate, refactor, and debug code with AI.
- Automate development workflows with Agent Hooks.
- Control AI agent behavior using Steering.
- Integrate external tools through the Model Context Protocol (MCP).
- Complete a full project using an agentic development workflow.
Need professional support?
Beyond training, our experts can support you with implementation, optimization, and the hands-on delivery of your projects.
- Post-training support, coaching, and guidance
- Implementation of tools and best practices
- Process optimization and automation
- One-time intervention or tailored engagement
Online
- 06/07/2026
- 07/07/2026
- 08/07/2026
- 08/09/2026
- 09/09/2026
- 10/09/2026
- 09/11/2026
- 10/11/2026
- 11/11/2026
- 11/01/2027
- 12/01/2027
- 13/01/2027
Pricing
Practical information
- Duration: 3 day(s)
- Schedule: 9:00 a.m. to 4:30 p.m. (2 coffee breaks + 1-hour lunch)
-
Format:
- Online (live virtual classroom)
- Or in person, depending on availability
📄 Download course outline (PDF)
Registration detailsInterested in this training?
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FR
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Mamadou, merci d’avoir été si accommodant malgré le court préavis et d’avoir envoyé votre formateur à Gatineau pour ce cours personnalisé.
Nous avons hâte de poursuivre notre collaboration pour de futurs besoins de formation. »
(Traduit de l’anglais)
EN
“I want to thank you both for providing my resources with excellent COBOL training over the past 3 days. Mamadou, thank you for being so accommodating on such short notice and for sending your facilitator to Gatineau for this customized and personalized training course. We look forward to continuing our partnership for future training needs.”
FR
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EN
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(Translated from French)
FR
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(Translated from French)