
Explore how ai-assisted software development uses large language models like ChatGPT, CLAWD, and SONNET to automate tasks, generate boilerplate code, and detect bugs in a no-code context.
Install and configure Kiro, set up the account and environment, review AWS Kiro integration with Amazon Bedrock, and customize themes, shortcuts, snippets, extensions, settings, profiles, and auto-save for efficient development.
Discover how the ai-powered bootcamp accelerates modern software development from front-end to multi-agent ai systems. Build production-ready applications and professional software development skills through practical projects and prompt engineering.
Plan before building to set goals, structure, and AI-powered portfolio website design direction. Implement clean project structure, reusable components, and AI prompts for scalable, production-ready development with testing.
Plan and design a comprehensive full-stack task management system with authentication, task creation and deletion, dashboards, and priority-based filters, using Notion, Trello, and Slack as practical references.
Analyze how credits are consumed in Kiro by prompt complexity, context, and activity. Apply best practices: clear prompts, smaller tasks, targeted changes to optimize credit use.
Design a scalable chat application architecture by integrating the ui and ai backends or a question bank. Explore flexible deployment options and a real-time interface design using Figma templates.
Plan and design a full-fledged e-commerce store using a scenario-based, prompt-driven approach, outlining goals, target users, core features, data sourcing, and deployment.
Learn to set up a basic front-end e-commerce homepage with a navigation bar, hero banner, featured products, and footer using a Vite React scaffold and responsive design.
In kiro bootcamp's ai coding course, build a responsive e-commerce product listing page with image cards, prices, categories, and ratings, plus client-side filtering, sorting, pagination, and add-to-cart buttons.
Create and deploy a devops dashboard with dashboards, visuals, and a data stream, secured by RBAC, using Netlify and Google login for deployment and access management.
Build a modern dashboard app with login, overview, services, metrics, alerts, reports, and settings pages, featuring a clean layout, sidebar navigation, top header, and real-time metrics with React and Vite.
Learn how the ai-powered code review assistant handles edge cases and errors across pull request analysis, static analysis, and dashboards, using input validation and graceful fallback suggestions.
Master prompt engineering to define clear objectives, provide essential context, and apply constraints and iterative, modular prompts for higher quality ai outputs in kiro bootcamp.
Master context windows and token usage to enhance AI responses, cut costs, and boost productivity in AWS Kiro by using concise prompts and modular, task-specific prompts.
Explore AI hallucinations and how to mitigate them in kiro by providing context across two chat windows, validating outputs with human checks, reading files before claims, and tuning temperature.
Leverage AI-assisted development with Kiro IDE to accelerate code generation, debugging, and testing. Master prompt engineering, full-stack development, deployment, and production readiness for scalable, secure applications.
Master best practices for AI-assisted development by avoiding vague prompts, unreviewed code, and missing tests; apply structured prompts, thorough review, testing, secure practices, clean architecture, and documentation.
Discover how Kiro communities empower large-scale collaboration through official channels like Discord, events, ambassadors, startups, and students, plus a centralized showcase and external forums such as Reddit and Dev Community.
Leverage AI-assisted workflows and a product-minded bootcamp mindset to build portfolio-ready full-stack projects and prepare for AI-driven roles across front-end, back-end, and automation.
Disclosure: This course contains the use of artificial intelligence.
Kiro AI is transforming the way modern software is built through AI-assisted development, intelligent code generation, automation workflows, and spec-based coding systems. This course is designed to help you learn Kiro AI from beginner to advanced level through practical projects, real-world workflows, and hands-on demonstrations.
In this bootcamp, you will explore how Kiro AI can accelerate software development, automate coding tasks, improve productivity, and simplify modern application creation using advanced AI workflows.
The course covers Kiro fundamentals, prompting techniques, vibe coding concepts, spec-based development, frontend workflows, backend generation, debugging assistance, automation pipelines, project structuring, and real AI-assisted development practices used by modern developers and creators.
You will learn how to use Kiro AI to rapidly prototype applications, generate production-ready code, optimize development workflows, and collaborate with AI efficiently while understanding the strengths and limitations of AI coding systems.
Throughout the course, you will build practical projects and understand how AI-driven development is changing software engineering, startup building, automation, and digital product creation.
This course is beginner-friendly while also offering advanced productivity techniques valuable for developers, freelancers, technical creators, and entrepreneurs looking to integrate AI deeply into their workflow.
By the end of this course, you will have the skills and confidence to use Kiro AI effectively for coding, automation, rapid development, vibe coding, and AI-powered project building.