Introduction to Artificial Intelligence

SAT Score Range

•

6 sessions

•

+17

This series was cancelled by the tutor on January 4, 2026. We're very sorry–you can explore more Computer Science series here. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

Learn how AI actually works under the hood! This series breaks down the mechanics of artificial intelligence - from how neural networks process information to how machine learning algorithms make decisions. We'll explore different AI architectures, understand training processes, and see how data flows through AI systems. Through interactive demos and visual examples, you'll gain a deep understanding of what's really happening when AI 'thinks' and learns.

Tutored by

Karthick A 🇺🇸

Certified in 1 topic

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I am a high schooler in Arizona as a junior certified in AI and AWS Cloud Computing and A student in AP CS Courses. I love computers and want to help others. I am also AWS AI Practionier certified and Cloud Practionier Certified, I enjoy vibe coding project, experimenting with linux distro's and AI projects.

Sessions

✋ ATTENDANCE POLICY

You are free to attend/skip whichever sessions you want.

SESSION 1

4

Oct

SESSION 1

Artificial Intelligence

Sat 12:00 AM - 12:30 AM UTCOct 4, 12:00 AM - 12:30 AM UTC

Introduction and What even is AI? In this introductory session, we'll demystify AI by exploring what makes it different from regular computer programs, see real examples of AI in action, and understand the basic concepts that power modern AI systems. Perfect for complete beginners - no prior knowledge needed! Come with your curiosity and questions about this technology that's reshaping our world.

SESSION 2

5

Oct

SESSION 2

Artificial Intelligence

Sun 12:00 AM - 1:00 AM UTCOct 5, 12:00 AM - 1:00 AM UTC

Effective Prompt Engineering: Master the art of writing prompts that get better results from AI. Learn the anatomy of good prompts (context, task, format, constraints), advanced techniques like chain-of-thought and few-shot learning, role prompting, and how to avoid common pitfalls. Includes three hands-on practice challenges where students write, test, and refine their own prompts in real-time.

SESSION 3

12

Oct

SESSION 3

Artificial Intelligence

Sun 12:00 AM - 1:00 AM UTCOct 12, 12:00 AM - 1:00 AM UTC

AI for Writing & Content Creation: Learn to use AI as a writing assistant while maintaining academic integrity. Covers brainstorming, outlining, drafting, and editing workflows. Discusses what's acceptable vs plagiarism, school policies, and AI detection tools. Practical applications include essay writing, research assistance, creative writing, and professional communication. Students complete a writing challenge using AI ethically.

SESSION 4

16

Nov

SESSION 4

Artificial Intelligence

Sun 12:00 AM - 1:00 AM UTCNov 16, 12:00 AM - 1:00 AM UTC

AI for Coding & Problem Solving: Use AI as a coding assistant with tools like GitHub Copilot, ChatGPT, and Claude. Learn code generation, debugging techniques, error interpretation, and algorithm explanations. Discusses the balance between AI as a tutor vs doing homework for you. Includes live coding demos and hands-on practice with debugging exercises.

SESSION 5

23

Nov

SESSION 5

Artificial Intelligence

Sun 12:00 AM - 1:00 AM UTCNov 23, 12:00 AM - 1:00 AM UTC

How AI Models Are Built (Condensed): Understand the training process, fine-tuning, and transfer learning at a high level. Focus on why these concepts matter for users: how ChatGPT becomes specialized chatbots, why AI sometimes makes mistakes, and how bias enters AI systems. Less technical depth, more practical implications.

SESSION 6

21

Dec

SESSION 6

Artificial Intelligence

Sun 12:00 AM - 12:30 AM UTCDec 21, 12:00 AM - 12:30 AM UTC

AI Ethics, Future & AI Lab: Explore ethical considerations including privacy, deepfakes, misinformation, and AI safety. Discuss realistic views on job displacement and future developments (multimodal AI, agents, AGI basics). Hands-on AI Lab where students experiment with different AI tools and applications in class. Course wrap-up with key takeaways, continued learning resources, and Q&A.

Public Discussion

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Oct 4 - Dec 21

12 weeks

30 - 60 mins

/ session

SCHEDULE

Sundays

12:00AM