What you'll learn

Use AWS Kiro to build and modify applications with AI-assisted development workflows

Apply steering and Specs to give Kiro clear project guidance and structure development tasks

Create Agent Hooks, use MCP servers, and work with Powers to extend Kiro's capabilities

Use Kiro workflows to plan changes, fix bugs, review code, generate documentation, and build features

Requirements

Basic knowledge of a code editor or IDE

Description

AI-assisted development is moving beyond simply asking an AI to write code. AWS Kiro introduces a more structured approach to software development, helping you plan, guide, automate, and improve your development workflow with AI.Welcome to the Complete AWS Kiro Course: AI-Assisted Coding Masterclass - a practical, beginner-friendly course designed to take you from your first interaction with Kiro through its most important development workflows and capabilities.You don't need prior Kiro experience. We'll work progressively through the Kiro IDE and use a simple portfolio application to explore how these tools work in practice.What You'll Learn?By the end of this course, you'll be able to:Use Kiro for AI-assisted coding and understand how an AI development environment differs from traditional coding workflows.Prompt Kiro effectively to get clearer, more useful results from AI-assisted development.Use Steering to provide persistent project guidance, conventions, and instructions to Kiro.Use Specs to transform an idea into requirements, design, and actionable tasks before implementation.Execute and manage Spec tasks, including understanding the difference between required and optional tasks.Create Agent Hooks that automatically respond to development events and automate repetitive workflows.Connect MCP servers to give Kiro access to additional tools and external knowledge.Use Powers to extend Kiro with specialized capabilities and contextual knowledge.Work with Context7 to provide Kiro with additional up-to-date technical context.Use Kiro's practical workflows for planning changes, fixing bugs, reviewing code, and generating documentation.Use QuickSpec to quickly turn smaller feature ideas into implementation workflows.Work with Git and GitHub directly as part of your development workflow.Understand how to give Kiro the right context and instructions for more effective results.A Practical, Hands-On Approach. This course focuses on using Kiro, not simply talking about it. You'll see concepts demonstrated directly in the Kiro environment and then apply them to a real project. Rather than overwhelming you with a large application, we'll use a deliberately simple portfolio website so you can focus on understanding Kiro and its workflows.You'll work with?Steering → Specs → Agent Hooks → MCP → Powers → Kiro Workflows → Git & GitHubEach builds on the previous concepts, giving you a practical understanding of how Kiro can fit into a modern development workflow.Who Is This Course For?This course is suitable for:Developers interested in AI-assisted software developmentStudents and beginners who want to learn AWS Kiro from the ground upSoftware professionals looking to explore AI-native development workflowsDevelopers already using AI coding tools who want to understand a more structured approachAnyone curious about how AWS Kiro can change the way software is planned, developed, reviewed, and maintainedYou don't need to be an AWS expert, and no prior Kiro experience is required.Basic familiarity with HTML, CSS, Git, and using a code editor will help you get the most from the hands-on activities.Start Your Kiro Journey:By the end of the course, you won't just know what Kiro is — you'll understand how to use its core capabilities and workflows in practice.You'll have the foundation to continue experimenting with Kiro, apply these techniques to your own projects, and develop your own AI-assisted coding workflows.Enroll now and start exploring a more structured way to build software with AWS Kiro.

Students and IT Professionals,Software Developers,DevOps and Cloud Engineers