AI Engineering Academy
47 modules · 4 courses · Zero prerequisites
New to AI? Start Here
A 10-minute overview of what AI is and how it works
9:18 · Jeff Su · 3.4M views
How This Study Works
What to expect as a participant
Your parent or guardian gives permission and schedules a group session with Prof. Qu.
You and your parent attend a session at Monmouth University, room HH216 (Summer 2026).
Complete a short assessment on your current AI knowledge at the start of the session.
Prof. Qu shares the web app, gives a live demo, and guides you through hands-on AI projects.
Read the consent form on this site and decide whether you agree to participate in the research.
After the session, complete a post-test and short survey about your experience.
Total time: approximately 60–90 minutes
Prepare Before the Session
Complete these steps before you arrive
Step 1: Subscribe to Claude Pro
- Go to claude.ai
- Click Sign up and create an account (use parent's email for minors)
- Subscribe to Claude Pro ($20/month) — this is required for Claude Code
- You can cancel anytime after the session if you choose
Step 2: Install Claude Code
Watch this official 3-minute guide, then follow the steps below:
- Open Terminal (Mac: search "Terminal" in Spotlight) or Command Prompt (Windows: search "cmd")
- If you don't have Node.js, install it first from nodejs.org (download the LTS version)
- Type this command and press Enter:
npm install -g @anthropic-ai/claude-code - Then type
claudeand press Enter to log in with your Claude account
Learn more:
How Claude Code Works (2:50) · Your First Prompt (2:27) · Official Claude tutorials
Watch the full Claude 101 playlist →
Step 3: Bring Your Laptop
- Bring a laptop (Mac, Windows, or Linux) with a charger
- Make sure Claude Code is working before you arrive — type
claudein Terminal to verify - If you have trouble, email wqu@monmouth.edu for help
Session Slides
Interactive presentation used during the in-person training session. Ink-wash and dark theme available.
Open Slides →Recommended Learning Path
Follow this order for the best experience
Step 1: Pre-Test
Take the 5-minute assessment to measure your starting point. No wrong answers.
Take Pre-Test →Step 2: Claude Code Fundamentals
Learn the terminal, GitHub, web apps, and how to use Claude Code. 13 modules, ~2 hours.
Start Course 1 →Step 3: Agentic Engineering Quest
Go deeper into agent design: harnesses, workflows, specs, tools, memory, safety, and multi-agent teams. 10 modules, ~3 hours.
Start Course 2 →Step 4: AI Skills Lab
Practice prompt frameworks, learning techniques, and cross-model review. 11 modules, 3 tracks.
Start Skills Lab →Step 5: AI Life Skills
Master AI-powered study skills, critical thinking, and creative tools. 13 modules, 3 tracks.
Start Life Skills →Step 6: Behind the Scenes
See how this entire academy was built from scratch in one AI-assisted session. Real prompts, real decisions, real lessons.
Read Case Study →Step 7: Post-Test
Retake the assessment and compare your scores to see how much you've grown.
Take Post-Test →Why This Academy?
Built by a professor who teaches AI engineering
100% Self-Contained
Just open the HTML file. No install, no server, no accounts needed.
Built for Non-CS Students
Analogies first, jargon second. No prior coding needed.
Interactive & Gamified
Terminal simulators, quizzes, XP, and branching scenarios.
Research-Backed
Drawn from 161 wiki entries on Claude Code and agent design.
Progress Saved Locally
XP and capstone work saved in your browser.
Beginner to Architect
Four courses from "what's a terminal" to multi-agent systems.
How AI Works
Optional deep dive: pretraining, self-attention, and LLM architecture explained visually.
Advanced AI Engineering Course
For CS/SE graduate students. One focused semester: AI agent engineering, tool protocols (MCP), ethics & safety, and a capstone project. 100 lessons, ~75 hours.
View Advanced Course →LearnAI Knowledge Base
161 wiki entries on AI engineering, Claude Code, agent design, prompt techniques, and more. The research foundation behind this academy.
Explore the Wiki →How This Was Built
One session. 47 modules. Real prompts, real mistakes, real design decisions. See every step of how a professor and AI built this entire academy from scratch.
Read the Case Study →Questions?
If you have any questions about the courses or need help, feel free to reach out.
wqu@monmouth.edu