Project Description

Python & AI/ML

Python is one of the most popular programming languages in the world – used by NASA, Spotify, Instagram, and AI researchers everywhere. And it’s surprisingly beginner friendly. In this bootcamp, you’ll learn to write Python code, step by step, starting from absolute zero.   

Python & AI Intro takes middle & High schoolers from their very first line of code all the way to training a basic AI model. You’ll learn programming fundamentals (variables, loops, functions), work with real data, and get a hands-on introduction to how machine learning works – explained in a way that makes sense. 

The course is designed for beginners who are curious and ready to type. No prior coding experience is required. By Demo Day, every student will have coded and trained their own original AI mini-project using Python. 

Day 1 — Welcome to Python & Coding Get introduced to Python — one of the most popular programming languages in the world. Set up your free coding environment, write your very first Python program, and see how code connects to real AI.

Day 2 — Python Basics I: Variables & Decisions Learn the essentials: storing information in variables, working with numbers and text, and writing if-then logic so your programs can make decisions. Short coding challenges make it fun.

Day 3 — Python Basics II: Loops & Lists Make your programs do things repeatedly with loops, and store multiple items in lists. Build small mini projects that bring these concepts to life in a practical way.

Day 4 — Functions & Building Blocks Learn how to write reusable chunks of code called functions — like building your own LEGO pieces. Use them to organize your programs and avoid repeating yourself.

Day 5 — Working with Data Explore how to load, read, and visualize real data using beginner-friendly Python tools. Create simple charts and graphs to find patterns hiding in data.

Day 6 — Intro to AI & Machine Learning Discover what machine learning is and how computers learn from data — no math degree needed! Explore real examples and understand the difference between training and testing a model.

Day 7 — Your First AI Model Use beginner-friendly Python tools to train your very first machine learning model on a real dataset. See how accurate it is and start to understand what the results mean.

Day 8 — Making Predictions with AI Apply your model to make real predictions. Experiment with different settings and see how they change results. Explore visual tools that show how AI “thinks.”

Day 9 — Final Project Build & AI Ethics Design and build your own original Python + AI mini project. Discuss big questions: What if the AI is wrong? What if it’s unfair? How do we build AI we can trust?

Day 10 — Demo Day Present your Python AI project to peers, mentors, and guests. Walk through your code, explain your results, and celebrate becoming a real programmer in just 10 days.



By the End of the Bootcamp, You Will Be Able To
 

  • Write Python programs using variables, loops, functions, and lists 
  • Load and visualize real data to find patterns using simple Python tools 
  • Understand how machine learning works and what ‘training a model’ means 
  • Train and evaluate a beginner-friendly AI model on a real dataset 
  • Build and present an original Python + AI mini project 
  • Discuss ethical questions about AI: fairness, bias, and trust 

What to Bring / Prepare Before Day 1 

  • A laptop with Windows, macOS, or Linux and your charger. (Chromebook has limited functionality for coding.) 
  • A personal email address to create free tool accounts (Google Colab, and others). 
  • At least 4 GB of free storage space is recommended. 
  • No prior Python or AI experience required – just curiosity and a willingness to try!
Apply Today

Summer Camp Instructors

Gul Musavi
Gul MusaviCoordinator
Gul Musavi is the Coordinator for the General Education Department and a Lecturer in History and Education at North American University, dedicated to advancing student learning and interdisciplinary scholarship. Her research interests focus on history and education.

She also serves as an assistant coach for the award-winning Speech and Debate Team, where she helps students develop strong public speaking and presentation skills. Through personalized coaching, structured practice, and constructive feedback. She supports students in building confidence, organizing persuasive arguments, and delivering effective presentations.

Likhitha Kanagala
Likhitha KanagalaComputer Science
I’m Likhitha Kanagala. I hold a master’s degree in data science and bring prior industry experience in databases, game development, and software engineering. Currently, I serve as a Computer Science faculty member, where I focus on making complex technical concepts accessible through hands-on, project-based learning.
I am passionate about helping students connect theory with real-world applications, especially in areas like programming, artificial intelligence, and software development. I enjoy guiding learners of all levels to build practical projects, think critically, and develop confidence in using technology creatively.
James Keller
James KellerSpeech and Debate
James Keller received his Bachelor of Arts Degree in Telecommunication in 2000, and his Master of Arts in Communication in 2004. He is a graduate of the illustrious Texas Southern University. While attending Texas Southern University, he travelled extensively with the world renown Texas Southern University Forensic and Dialectical Symposium (Speech and Debate Team), under the leadership of the Honorable Dr. Thomas F. Freeman.

Upon graduation from Texas Southern University in 2000, he began working as a News Editor with KRIV Fox 26. In 2004, he began his teaching career as an Adjunct Instructor with Texas Southern University. That appointment led to him teaching in the discipline of Speech Communication with San Jacinto College, Houston City College, the Lone Star College system, the Art Institute of Houston, and now, with the prestigious North American University.

Currently, Mr. Keller is still working on reporting the morning news, along with teaching as a full-time professor with North American University. He is also the head coach of the North American University Speech and Debate Team.

In addition, he was ordained in early 2025 as a Deacon with Dominion Church International, where he proudly serves the people of God as a humble servant leader.

Mr. Keller enjoys spending quality time with his lovely wife, Latanya Keller, travelling, kayaking, bicycling, and volunteering on mission trips during the summer with his son Wynton.

Dr. Azamat Zhamanov
Dr. Azamat ZhamanovComputer Science
Dr. Azamat Zhamanov is a Computer Science professor and AI expert based in Houston, Texas, known for turning complex technologies into exciting, hands-on experiences for students. With a Ph.D. in Computer Science and deep expertise in artificial intelligence, networking, and cybersecurity, he brings real-world innovation directly into the classroom.
Unlike traditional programs, Dr. Zhamanov’s courses go beyond theory — students build, experiment, and create. From designing their own AI agents using cutting-edge tools like OpenClaw, to developing games powered by AI, to exploring how real networks are protected from cyber threats, every session is immersive and practical.
His teaching style is energetic, modern, and results-driven, focused on helping students think like engineers, solve real problems, and gain confidence with technologies shaping the future.
At the summer bootcamp, students don’t just learn about technology — they build it, control it, and understand it.
Alina Rajbhandari
Alina Rajbhandari Mathematics
Alina Rajbhandari, a mathematics lecturer at North American University with a Master’s degree in Mathematics. I have been teaching and tutoring math for over 10 years and am passionate about helping students see that math is not just about formulas – it’s about thinking, problem-solving, and building confidence. In this summer camp, my goal is to make math engaging, interactive, and approachable through hands-on activities, puzzles, and real-world applications.
Micheal Baker
Micheal BakerMathematics
Michael Baker graduated with his Master’s in Mathematics from the University of Rochester and has been teaching a wide variety of math courses at various colleges since 2018. He enjoys his job.
Islam Sabyr
Highly motivated and results‑oriented IT Analyst with 2+ years of experience in ServiceNow development, administration, and IT service management. Proven ability to analyze complex issues, optimize processes, and deliver impactful IT solutions that enhance business efficiency. Expertise in collaborating with cross‑functional teams, driving process improvements, and exceeding customer expectations. Passionate about leveraging technology to streamline operations and achieve business goals.