Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.

Math

Algebra 2 Learning Labs
Pre-Calculus Learning Labs
Pre-Algebra
Algebra 1
Algebra 2
Geometry
Pre-Calculus
Calculus
Statistics

Science

Biology
Chemistry
Physics

More

College Admissions Workshops
SAT Bootcamp
SAT Prep
College Prep
Enrichment
Computer Science
Reading and Writing
History
Free SAT® Prep, as part of a research study.
SAT® Bootcamps
Free SAT® Prep, as part of a research study.
Get free help applying to college.
College Admissions Workshops
Get free help applying to college.
1-on-1 conversations on global topics
Dialogues
1-on-1 conversations on global topics
A global network of volunteers.
Explore Tutors
A global network of volunteers.
Why get tutored by other students?
Benefits of Peer Tutoring
Why get tutored by other students?
Prove your mastery and get ready to tutor.
About Certifications
Prove your mastery and get ready to tutor.
Learn, grow, and give back through tutoring.
Become a Tutor
Learn, grow, and give back through tutoring.
How we keep virtual tutoring safe.
Session Safety Measures
How we keep virtual tutoring safe.
Have questions? Search our FAQ.
Help Desk
Have questions? Search our FAQ.
Game nights, product updates, and more.
Community Events
Game nights, product updates, and more.
Stay motivated in virtual study rooms.
Study Spaces
Stay motivated in virtual study rooms.
Check out the community's impact.
Leaderboards
Check out the community's impact.
Testimonials from the Schoolhouse community.
Stories
Testimonials from the Schoolhouse community.
Keep up with our volunteer-run blog.
Blog
Keep up with our volunteer-run blog.
AI from the Inside: How Machines Learn, Think, and Fail

SAT Score Range

•

5 sessions

•

+3

•

🔥 4 spots left!

This series is part of Schoolhouse Summer Camp! Explore Summer Camp

About

AI is everywhere—but how many people actually understand how it works?

In this series, we’re going under the hood. You’ll learn how machines learn, how they think (sort of), how they create, and how they sometimes get it very, very wrong. No coding required—just your curiosity, focus, and willingness to explore beyond the surface.

We’ll break down:
🧠 How machine learning actually happens (in plain language)
🔗 How neural networks “think” and make decisions
✍️ How AI writes, draws, and even fakes reality
⚠️ Why AI fails—and why that matters

This is a deep-dive for real learners—not just a casual tour of AI tools. If you’re the kind of person who loves asking “But how does this actually work?”, this is your space.
✅ No prior knowledge needed.
✅ No coding required.
✅ Just bring your brain—and your questions.

Tutored by

Ashi D 🇮🇳

Certified in 1 topic

View Profile

Hey, I am Ashi I am from India, a high school senior and had prep for JEE for 3 years. I plan on going to UofT While my passion is AI, knowing its vast capabilities but I still love maths and physics I am also a poet btw, so if ever plan on doing any thing metaphorical or just having a chat about AI, feel free to DM me!

Schedule

✋ ATTENDANCE POLICY

Even though the sessions aren’t officially linked, this series is designed to build up your understanding step by step—so I strongly encourage you to come to every single class if you can.

If something comes up and you can’t make it, no stress—just try to let me know in advance. Communication matters, and it helps me keep the group energy strong.

SESSION 1

8

Jul

SESSION 1

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCJul 8, 2:15 PM - 3:15 PM UTC

🧩 Session 1: How Does Machine Learning Actually Work? (Linear regression, decision boundaries simplified)

AI isn’t magic—it’s math. In this session, we’ll break down how machines “learn” from data without diving into overwhelming technical jargon. You’ll discover how simple models like linear regression help machines find patterns, how decision boundaries separate choices, and why AI can make mistakes.By the end, you’ll see that machines don’t “think”—they just spot patterns, and sometimes those patterns surprise even the people who built them.
SESSION 2

15

Jul

SESSION 2

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCJul 15, 2:15 PM - 3:15 PM UTC

🧠 Session 2: Neural Networks—How Machines “Think” (Sort of)

How does a machine recognize faces, recommend songs, or predict what you’ll type next? The answer lies in neural networks—inspired by brains but nothing like them. We’ll explore how these systems process information, what “layers” mean, and how they “learn” through something called backpropagation (but explained in plain English!).By the end, you’ll understand how machines can seem smart without having the faintest clue what they’re doing.
SESSION 3

22

Jul

SESSION 3

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCJul 22, 2:15 PM - 3:15 PM UTC

📝 Session 3: Natural Language Processing—How AI Reads, Writes, and Fakes

How does AI write essays, poems, or even fool people into thinking it’s human? Welcome to the world of Natural Language Processing (NLP). In this session, you’ll learn how models like ChatGPT actually work, how they predict words, and why sometimes AI sounds brilliant—and sometimes hilariously wrong.We’ll also ask: Can machines really understand language, or are they just guessing very, very well?
SESSION 4

29

Jul

SESSION 4

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCJul 29, 2:15 PM - 3:15 PM UTC

🎨 Session 4: Generative AI—How Machines Create Art, Images, and More

AI can paint pictures, compose music, and write stories—but how? In this session, we’ll dive into Generative AI: how models like DALL·E, Stable Diffusion, and ChatGPT create new things from scratch. We’ll pull back the curtain on diffusion models, text-to-image generation, and AI creativity.We’ll also discuss the big questions: Who owns AI art? Can machines be creative? And how do we tell what’s real anymore?
SESSION 5

5

Aug

SESSION 5

Other Topics

Other Topics

Tue 2:15 PM - 3:15 PM UTCAug 5, 2:15 PM - 3:15 PM UTC

🚨 Session 5: Why AI Fails—Bias, Black Boxes, and Hallucination

For all its brilliance, AI is far from perfect. In our final session, we’ll tackle the darker side of AI: bias, black box decision-making, hallucinations (when AI makes things up), and ethical dilemmas.Why does AI sometimes make harmful mistakes? Can we ever fully trust machines? And how do we stay curious but cautious in this rapidly changing world?This session is about critical thinking—not just what AI can do, but what it should do.

Public Discussion

Please log in to see discussion on this series.

Jul 8 - Aug 5

5 weeks

60 mins

/ session

Next session on July 8, 2025

SCHEDULE

Tuesdays

2:15PM