AI Software Engineering Bootcamp (Self-Paced)

Self-paced online training with expert support Certificate with 5 courses

Prepare for a career in AI-assisted software engineering by creating full-stack applications, getting fluent with modern tools, and finishing a portfolio-ready capstone.

$9,999 300 clock hours Live Support Start anytime

This program includes

  • 300 hours of project-based training from experts
  • 48 training videos
  • Answers from real instructors
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Licensed by NYS Department of Education

The AI Software Engineering Bootcamp is a wide-ranging program built to get you ready for modern software development roles where AI sits at the center of the toolkit. The curriculum stretches from foundational coding skills all the way to advanced topics like systems design, security, and scalable architecture.

Across a series of hands-on courses, you'll learn to create full-stack applications, work alongside others in professional development settings, and ship production-ready software. The program wraps with a capstone project that puts your real-world engineering, product, and design skills on full display.

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Courses & Videos in This Certificate Program

Download Syllabus PDF

Unit 1 60 Hours

AI Coding Bootcamp with Claude Code (Self-Paced)
  • Use Claude Code as a practical coding assistant for planning, editing, debugging, and shipping apps
  • Build confidence with Git, GitHub, and collaborative development workflows
  • Understand the structure of modern web apps across frontend, backend, APIs, and deployment
  • Create full-stack projects with Next.js, Supabase, authentication, and third-party APIs
  • Improve app quality with responsive design, accessibility, testing, and security practices
  • Deploy a finished application with environment variables, a custom domain, and launch-ready polish
Lesson 1: Getting Started with Claude Code
Lesson 2: Setting Up Your Workflow
Lesson 3: Prompting Claude Code Effectively
Lesson 4: Scaffolding a New Project
Lesson 5: Web Development Fundamentals
Lesson 6: Debugging and Testing Your Code
Lesson 7: Modern App Architecture and Next.js
Lesson 8: Building a Business Landing Page
Lesson 9: Advanced Claude Code Features
Lesson 10: Advanced Git and GitHub Workflows
Lesson 11: Databases and User Authentication
Lesson 12: Building a Notes App
Lesson 13: OAuth, External APIs, and Caching
Lesson 14: Design, Accessibility, and UX
Lesson 15: Web Security Fundamentals
Lesson 16: Deployment, SEO, and Performance

Unit 2 60 Hours

AI Coding for Product and UX (Self-Paced)

See how product strategy, UX design, and modern development practices come together inside AI-assisted software engineering.

  • Put type-safe development practices to work using modern programming languages
  • Design and build out relational databases and structured data models
  • Create and document APIs with thoughtful versioning and error handling
  • Run user experience research and apply design systems
  • Turn product requirements into clear technical specifications
  • Write and maintain professional-grade test suites

Unit 3 60 Hours

AI Coding for Security (Self-Paced)

Discover how to secure applications and manage production environments using modern development workflows and AI-focused security practices.

  • Operate inside team-based development workflows using version control and code review
  • Build out continuous integration and deployment pipelines
  • Track applications with observability and debugging tools
  • Put cybersecurity fundamentals and threat modeling techniques into practice
  • Handle authentication, authorization, and sensitive data safely
  • Spot and reduce risks that come with AI-powered applications

Unit 4 60 Hours

AI Coding for Systems and Architecture (Self-Paced)

See how modern applications are structured, scaled, and fine-tuned by working through the principles of systems design and architecture.

  • Bring core computer science concepts into real-world development challenges
  • Design scalable systems with modern architecture patterns
  • Navigate networks, concurrency, and multi-language environments
  • Set up caching, queues, and background processing workflows
  • Roll out applications using cloud infrastructure tools
  • Tune performance and keep systems reliable

Unit 5 60 Hours

AI Coding Capstone (Self-Paced)

Wrap up the program with a hands-on capstone project that shows off your ability to build and ship AI-powered applications.

  • Map out and carry an application built from an idea through deployment
  • Work with advanced AI-assisted development workflows and tooling
  • Add AI-powered features into applications meant for real users
  • Run production readiness reviews and thorough testing
  • Communicate technical work clearly through live demos and written documentation
  • Polish a portfolio project ready to share with prospective employers

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