AI-first learning

AI-Accelerated Software Engineering Course

Learn to code, ship polished products, and pass interviews in months — not years. AI is your copilot, fundamentals are your foundation.

Download Learning JournalSample Portfolio Repo
Journal: a template to track tasks, prompts, and reflections.Portfolio: see what “job-ready” looks like.

Why AI-accelerated?

Your work isn’t replaced — it’s amplified. Pair fundamentals with automation so you can learn, build, and interview with momentum.

  • Build 3–5× faster with AI pair-programming and instant debugging.
  • Learn just-in-time — master concepts while shipping real features.
  • Document everything: prompts, decisions, and trade-offs for interviews.

GitHub research shows AI pair-programming speeds delivery by ~55%.

Choose your starting point

Set your track now—every module adapts to the goals and constraints of your level.

Track selector

Choose your pace

Current focus: No coding or AI experience

Modules

Seven guided modules

Each module aligns with your current track. Expand to view focus areas, hands-on projects, AI prompts, and your checklist.

Focus

  • Data types, variables, conditionals, loops, and functions
  • Reading stack traces and debugging errors with intention
  • Lightweight OOP and working with the filesystem

Hands-on (Beginner)

  • Write three CLI utilities: palindrome checker, tip calculator, text formatter.
  • Ask AI to explain each solution, then rebuild it without looking — capture what changed.

AI Boost Prompts

  • Explain this stack trace like I am new to coding. What went wrong and what are two potential fixes?

```<paste stack trace>```
  • I wrote this function but it feels clunky. Refactor it to be more readable, add 2 unit tests, and explain the changes line by line.

```<paste function>```
  • Generate a short quiz (5 questions) to verify I understand loops and conditionals in <language>.

Progress: 0/9

Focus

  • Semantic HTML5 structure, forms, and metadata
  • Responsive design with Flexbox/Grid and accessibility practices
  • DOM events, state management, and fetch basics

Hands-on (Beginner)

  • Ship a personal homepage, a responsive landing page, and a vanilla to-do list.
  • Run each through AI-powered accessibility checks and document fixes.

AI Boost Prompts

  • Audit my HTML for accessibility pitfalls. Provide fixes with code snippets and explain why they matter.

```<paste HTML>```
  • Generate two alternative layout approaches (Flexbox vs Grid) for this content. Compare readability and responsiveness.

```<describe layout>```
  • Create a checklist to test keyboard navigation and focus order for this page.

Progress: 0/9

Focus

  • Clean code principles and refactoring patterns
  • Data structures and algorithms from arrays to graphs
  • Git workflows: branching, PR reviews, commit hygiene

Hands-on (Beginner)

  • Refactor a previous project applying a simple pattern (e.g., Strategy).
  • Use AI to critique your refactor and capture feedback.

AI Boost Prompts

  • Refactor this module following clean code principles. Explain each transform and suggest commits.

```<paste module>```
  • Design a study plan to master graph algorithms over two weeks with daily micro-goals.
  • Simulate a pull-request review for this diff; highlight positives and red flags.

```<paste diff>```

Progress: 0/8

Focus

  • REST APIs (Node/Express or Python/Flask), data modeling, authentication basics
  • Frontend frameworks or SwiftUI for mobile consumption of APIs
  • Deployment, environment variables, logging, and monitoring

Hands-on (Beginner)

  • Build an AI-powered productivity dashboard with a local fake API (no auth).
  • Use AI to stub endpoint responses and iterate quickly.

AI Boost Prompts

  • Design an API spec for a productivity dashboard. Include endpoints, payloads, and auth strategy.
  • Generate a database schema (SQL + diagram) for tasks, habits, and notes. Suggest indexes.
  • Create a deployment checklist with CI/CD steps, environment configuration, and smoke tests.

Progress: 0/8

Focus

  • Curate a personal curriculum and build spaced-repetition habits
  • Use AI to synthesize multi-source content into actionable notes
  • Create reusable artifacts (cheat sheets, flashcards, study trackers)

Hands-on (Beginner)

  • Assemble 5 go-to resources per topic with notes.
  • Use AI to create flashcards from your summaries.

AI Boost Prompts

  • Summarize these three resources into a single cheat sheet with key takeaways and follow-up projects.

```<links or text>```
  • Generate flashcards from my notes. Provide Q/A pairs and tag difficulty levels.
  • Propose a weekly study cadence balancing theory, building, and reflection.

Progress: 0/8

Focus

  • Structured DS/Algo practice with reflection and iteration
  • System design fundamentals for collaborative conversations
  • Aptitude prep (CCAT) with time management strategies

Hands-on (Beginner)

  • Solve daily LeetCode easy problems with AI post-mortems.
  • Practice CCAT mini-tests and build stamina.

AI Boost Prompts

  • Provide a post-mortem for this LeetCode problem. Include optimal approach, edge cases, and follow-up variations.

```<problem summary>```
  • Simulate a system design interview for “design a URL shortener”. Ask questions sequentially and critique my answers.
  • Generate a CCAT-style rapid-fire quiz (10 questions) focusing on spatial reasoning.

Progress: 0/8

Focus

  • Crafting a compelling portfolio and personal brand
  • Communicating AI-accelerated workflows to employers
  • Planning ongoing skill growth, networking, and learning loops

Hands-on (Beginner)

  • Publish a simple portfolio site and record demo video for flagship project.
  • Document AI learning journey in journal post.

AI Boost Prompts

  • Rewrite my resume bullets to highlight AI-assisted impact. Make them metric-driven.

```<paste bullets>```
  • Draft a LinkedIn post about how I learn 3× faster with AI, including hook, body, and CTA.
  • Generate a script for a 90-second project demo video covering problem, solution, and AI contribution.

Progress: 0/8

Keep shipping

Rerun modules whenever you need a tune-up. Share wins with the community, iterate on your workflows, and keep the flywheel spinning.

Portfolio-ready artifacts

Case studies, demos, README files, and reflections baked into every module.

Community + accountability

Join peers learning at the same pace. Swap prompts, debrief interviews, collaborate.

AI-native toolkit

Templates, journaling flows, and automation recipes to keep scaling yourself.