The AI Toolbox
AI Research Bootcamp
15 live lessons in weekly two-hour classes. Go from zero to one and build a real AI research project that’s truly yours — from finding a question, to data and modeling, to a finished research report and defense deck.
Not lectures — you build real, finished work
Fifteen lessons stack like building blocks, turning scattered AI knowledge into one complete, presentable research project.
Research methodology
Learn to think like a researcher: how to find a good question, design experiments, and analyze results.
Hands-on AI tools
ChatGPT, Elicit, Semantic Scholar, Kaggle, Python/Pandas — a toolbox you actually know how to use.
A presentable result
You finish with a complete project + research report + defense deck — ready for competitions and applications.
A complete path from AI basics to your research report
Each stage maps to a real step of a research project — building up, one piece at a time.
Stage 1 · AI Foundations
How AI / ML / deep learning differ; what AI can and can’t do; intuition for neural nets.
Good vs bad questions; find your direction; brainstorm with ChatGPT + Google Scholar.
Data → Model → Result; supervised vs unsupervised; a live Colab demo.
Stage 2 · The AI Toolbox
Prompt-engineering tips; ChatGPT / Claude as research aids.
Pandas basics, Google Colab, loading & handling data.
Elicit, Semantic Scholar, Kaggle, Connected Papers; lit search & writing help.
Stage 3 · Data Science
Structured vs unstructured data; where to find & fetch datasets; Pandas.
Missing values, normalization, encoding.
Choosing charts, correlation, matplotlib.
Stage 4 · Machine Learning
Regression, loss functions, hands-on scikit-learn.
Classification & decision boundaries; accuracy / precision.
Trees, ensembles, feature importance.
Similarity, comparing models.
Stage 5 · Research Output
Designing experiments, analyzing results, drawing conclusions.
Writing the project report, presenting results, the defense deck.
By the end, you truly own these
Not a certificate, but a set of skills and deliverables you keep using — straight into competitions, summer programs, and college applications.
- ✓A complete AI research project
An end-to-end work for portfolios & competitions - ✓A solid research methodology
Topic selection, questions, experiment design & analysis - ✓Python + data-science basics
Pandas wrangling, cleaning & visualization - ✓Machine-learning modeling
Regression / classification / trees & forests / KNN·SVM·intro NN - ✓A research project report + defense deck
Report structure, presenting results & delivery - ✓An AI research toolbox
ChatGPT, Elicit, Semantic Scholar, Kaggle, Connected Papers…
The full 15-lesson bootcamp
One enrollment covers all 5 stages, 15 live lessons, and every course material.
Cards / Visa / Mastercard accepted · secure checkout by Stripe. By continuing you agree to the course terms; we never store your card.
💰 Prefer Zelle? Pay by Zelle — contact us on WeChat: jim9336.
📅 Sundays 1:00–3:00 PM · July 5 – August 23, 2026
Live online, Sunday afternoons
🔒 The Zoom link is emailed to enrolled students the day before each class (private — paid students only).
ℹ️ The exact class time may be adjusted — enrolled students will be notified by email in advance.
How classes run
Each weekly two-hour class covers two lessons, so the full 15-lesson curriculum wraps up before the end of August.
Hands-on, project-first teaching: every lesson adds one visual concept, one research skill, and one AI tool/method to your toolbox.
Common questions
When does it start and when are classes?
The bootcamp starts Sunday, July 5, 2026 and finishes Sunday, August 23, 2026 — before the end of August. Classes are live every Sunday from 1:00–3:00 PM (two lessons per class), online via Zoom, and every session is recorded so you can re-watch. If the exact time needs to change, enrolled students are notified by email in advance.
Do I need coding or AI experience?
No. The course starts from AI foundations and includes an intro to Python (Pandas, Google Colab). It’s designed for high-school students going from zero to a finished project.
What exactly do I get?
15 live lessons across 5 stages, all course materials, Colab notebooks, Kaggle practice, and a certificate of completion — plus a complete AI research project, a research report, and a defense deck you can use for competitions and applications.
How do I pay? Is it secure?
Checkout is handled securely by Stripe (cards / Visa / Mastercard). Your card details are never stored by us. You can also enter a custom amount in the enroll form — for example, to split the tuition across multiple cards, pay part now and the remainder in a second payment. Prefer Zelle? Contact us on WeChat: jim9336.
Start your AI research journey
15 lessons. One complete project. From zero to a finished research report — built entirely by you. Seats are limited.