AI Software Engineering Bootcamp (Self-Paced)

Self-paced online training with expert support Certificate with 8 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
  • Additional 1-on-1 mentoring outside of class
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Licensed by the State of New York, New York State Education Department

What You’ll Build

Your Portfolio-Ready Projects

Portfolio-Ready

A Complete Multi-Page Site

Build a full site, not a single landing page: interior pages, working navigation, and a design that carries all the way through.

You’ll build & deploy this

Portfolio-Ready

Build an Interactive Design System

Direct AI to build a two-pane tool where you set a brand's color, type, spacing, and shape on one side and watch a live component library restyle instantly on the other.

You'll build this desktop preview

Portfolio-Ready

Build Bookkeeping From Scratch

You will build KPI cards, charts, and anomaly flags where every number is calculated by your own JavaScript from the underlying transactions, never invented by a model.

You’ll build & deploy this

Portfolio-Ready

A Complete Brand Kit

Build a reusable brand kit, voice, palette, and do's and don'ts, that becomes the source of truth every generated campaign and image is anchored to, so nothing comes out off-brand.

You'll build this with AI

Portfolio-Ready

Client Ops Dashboard

The home screen of a practice management app. Every number, from active clients to outstanding balance and overdue invoices, is computed live from your records instead of stored separately, so the totals are always correct.

You'll build this dashboard

Portfolio-Ready

Build a Chatbot That Cites Its Sources

Direct AI to build a support assistant that answers only from a company’s own documents.

30 hrs You’ll build & deploy this

This course is self-paced. For live online or in-person instruction, take AI Software Engineering Bootcamp.

This 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.

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 30 Days

Build a Website with AI (Self-Paced)

Plan, design, build, and launch a real website with an AI assistant.

  • Choose the right website type and plan its pages, content, and primary actions
  • Map the site structure and create wireframes before beginning visual design
  • Build responsive layouts using a flexible, consistent design system
  • Improve accessibility, performance, imagery, and motion across the site
  • Set up contact forms, SEO, analytics, and a custom domain

Unit 3 30 Hours

Interactive Design (Self-Paced)

Learn the design decisions behind a real design system, then direct AI to build your own interactive version of one.

  • Build design systems using typography, color, spacing, contrast, and corner styles
  • Turn visual decisions into reusable design tokens and a consistent source of truth
  • Evaluate designs across web, mobile, social media, and print
  • Prepare developer handoffs, Figma variables, and client-ready preview links
  • Use AI to plan, build, review, and refine a custom design tool

Unit 4 30 Hours

Financial Dashboard (Self-Paced)
  • Turn a bookkeeping workflow into a data model (accounts, transactions, statements, reports) and a working database schema
  • Build the basics of bookkeeping in code: a chart of accounts, categorizing transactions, and reconciling against statements
  • Compute financial stats, revenue growth over time, and profitability margins in JavaScript, never letting the model invent a number
  • Build charts, KPI cards, anomaly flags, and an exportable report from values your code calculated
  • Call the Claude API from your own server-side code to write commentary, a monthly summary, and anomaly explanations grounded in the real figures
  • Build an Ask-Your-Data copilot: load a CSV, ask in plain English, and have Claude choose the chart while your code does the math
  • Keep your Claude API key server-side, handle AI failures gracefully, and persist data to a hosted database
  • Deploy the finished dashboard to a live URL with production secrets and a pre-launch checklist

Unit 5 30 Hours

Marketing & Creative Studio (Self-Paced)

Build a real AI marketing studio that pulls your analytics, lets Claude read them, and generates on-brand campaigns and imagery, then deploy it live.

  • Design a marketing data model and hosted database for campaigns, assets, analytics, and content
  • Build a multi-screen app with Next.js, Tailwind CSS, and Claude Code
  • Connect Google Analytics to display real campaign performance data
  • Use the Claude API to turn analytics into clear, actionable insights
  • Generate on-brand email campaigns and images using Claude and Gemini

Unit 6 30 Hours

Client Operations & Practice Management Tool (Self-Paced)

Build the back office for any client-based business, clients, scheduling, AI session notes, and billing, in one real app you deploy.

  • Translate business needs into a database for clients, sessions, notes, and invoices
  • Build a secure CRUD app with Next.js, Tailwind CSS, Postgres, and user login
  • Track client packages, session status, attendance, hours, and remaining balances
  • Use the Claude API to clean up notes, create summaries, and suggest next-session goals
  • Manage invoices, overdue balances, and editable AI-generated payment reminders

Unit 7 30 Hours

Knowledge-Base Chatbot (Self-Paced)
  • Describe the architecture of a chatbot application (front end, server, database, LLM integration) in plain language precise enough for an AI agent to act on
  • Direct an agent to scaffold and connect each of those pieces, and verify the result actually works rather than just "looks done"
  • Load a company's own documents into a chatbot's knowledge base so it answers from that material instead of general knowledge
  • Distinguish authenticated users from general users and direct an agent to implement that distinction, including persisted chat history
  • Design and test guardrail logic that keeps a chatbot on-topic and refuses unrelated questions
  • Specify and review agent-built feature additions, including a human escalation path with an email notification integration, and iterate based on testing
  • Build a basic evaluation set to check whether a chatbot stays grounded and on-topic, and use it to catch regressions
  • Deploy a working version of a chatbot to a live environment

Unit 8 60 Hours

AI Coding Capstone (Self-Paced)
  • Plan and execute a full application build from concept to deployment
  • Use advanced AI-assisted development workflows and tools
  • Integrate AI-powered features into real-world applications
  • Conduct production readiness reviews and testing
  • Present technical work clearly through demos and documentation
  • Prepare a portfolio project for job applications

Related Courses: Compare to AI Software Engineering Bootcamp (Self-Paced)

These related courses share skills and topics with AI Software Engineering Bootcamp (Self-Paced). Select up to two and tap Compare selected courses to view a side-by-side comparison.

  • AI for the Workplace with Claude (Self-Paced)
    12 hours $799

    Go from zero experience with Claude AI to a fully configured, personalized workflow you can use immediately at work by learning effective prompting, organizing Projects, building a context system with Claude Cowork, and connecting Claude to tools like Slack, Google Drive, Gmail, Excel, and PowerPoint.

    How does it compare?

    Choose AI for the Workplace with Claude if you want to configure Claude as a personal work assistant across Slack, Gmail, and Drive rather than build and ship full-stack applications.

  • AI Coding Bootcamp with Claude Code (Self-Paced)
    60 hours $2,995

    Learn Claude Code at your own pace while building full-stack web apps from scratch.

    How does it compare?

    AI Coding Bootcamp with Claude Code is a narrower path centered on Claude Code, Next.js, and Supabase, while this bootcamp covers broader engineering practices like architecture, accessibility, and team workflows.

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