Aws Kiro Masterclass: Spec-Driven Agentic Ai Development
Category: Tutorials
- views: 152
- date: 11 June 2026
- posted by: 0nelove
Aws Kiro Masterclass: Spec-Driven Agentic Ai Development
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 13m | Size: 1.72 GB
Build Agentic AI-powered applications using Kiro, MCP, Steering Files, Hooks, Powers and AIDLC
What you'll learn
AWS Kiro Masterclass - Learn how to build software using the AI-Driven Development Lifecycle (AIDLC).
Spec-Driven Development with Kiro - Create Requirement, Design, and Task files that transform business requirements into actionable implementation plans.
Model Context Protocol (MCP) integration between Kiro and Jira for publishing FleetMate user stories in Jira through a chat interface.
MCP integration between Kiro and Confluence for publishing FleetMate Design in Confluence through a chat interface.
Kiro Steering Files for Standarization of Design, Architecture and Code Generation across the Enterprise teams and Developers.
Kiro Hooks for Automation of workflows to improve Developer productivity and improve quality.
Kiro Powers for reusable AI workflows and enhanced contextual response generation
Kiro Model selection and Development best practices
Requirements
Basic AWS Knowledge
Description
Master AWS Kiro and learn how to build software using theAI-Driven Development Lifecycle (AIDLC).
- In thishands-on course, you'll learn how to use AWS Kiro from the ground up while building arealistic business application called FleetMate.
-Starting with Spec-Driven Development, you'll use Kiro to create Requirement, Design, and Task files that transform business requirements into actionable implementation plans.
-Model Context Protocol (MCP)integration between Kiro and Jira for publishing FleetMate user stories in Jira through a chat interface.
-MCP integration between Kiro and Confluence for publishing FleetMate Design in Confluence through a chat interface.
- EnableSteering Files in Kiro for AI Governance, Standarization of Design, Architecture and Code Generation across the Enterprise teams and Developers.
-Kiro Hooks for Automationof workflows to improve Developer productivity and improve quality.
-Kiro Powers for reusable AI workflows and enhanced contextual response generation
-Kiro Model selection and development best practices
Whether you're asoftware developer, solutions architect or an AWS professional, this course will help you understand how AI-native software development using Kiro is transforming the way applications are designed and built.
By theend of this course, you'll be able toconfidently use AWS Kiro to build, automate, and accelerate modern software development workflowsin both individual and enterprise environments.
Who this course is for
Software developers, solutions architect, cloud engineers or an AWS professional, this course will help you understand how AI-native software development using Kiro is transforming the way applications are designed and built.
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