Tech
AI & Coding Summer Bootcamp
For Middle and High School Students
Students will learn and master Python for AI, Machine Learning, and Data Science from an Experienced AI & Data Scientist
Instructor: Abdallah I.
Fulbright Scholar & Data and Machine Learning Scientist
Course Details:
What You'll Learn:
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4-week online bootcamp (July 6 – August 3)
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Format: Live sessions on Zoom
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Schedule: Monday, Tuesday, Thursday
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Time: 1:00 PM – 3:00 PM EST (each session)
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Students receive certificates upon completion
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Master Python by building real projects – learn through 5 practical, hands-on applications that reinforce every concept step-by-step.
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Break into high-demand tech fields – discover how Python is used in Artificial Intelligence, Data Science, and Machine Learning.
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Gain the confidence to write professional Python code and solve real-world problems.
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Work with industry tools used by data professionals, including Pandas, NumPy, Matplotlib, and Scikit-Learn.
Summer Bootcamp Content
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Week 1: Learn how to use VS Code (or any IDE) and Google Colab, and set up a professional Python environment for AI, Data Science, and Machine Learning. Understand how to control program logic using if/else statements, logical operators, and loops to automate decisions and repetitive tasks. Learn how to write reusable Python functions, organize code using modules and libraries, and start using real Python packages. Master Python’s core data structures — lists, dictionaries, tuples, and sets — to efficiently store and manipulate data.
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Week 2: Work with real-world data files by reading and writing text files, CSV files, and JSON data using Python. Debug programs and build more reliable code by understanding common Python errors and using try/except error handling. Learn the fundamentals of NumPy and Pandas, the two most important libraries for data analysis, AI, and machine learning workflows. Apply everything you’ve learned by building real-world Python projects, including automation scripts and practical applications.
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Week 3: Discover how Python is used in Artificial Intelligence and Machine Learning, and understand the tools and libraries used in modern AI development. Learn common Machine Learning algorithms and techniques, and use them to solve real-world problems. Dive into how LLMs like ChatGPT and Gemini are built and how they work. Train your own AI models, and build cool projects.
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Week 4: Build 3 AI and Machine Learning projects.​​​​​​
Empowering our next generation of STEM builders and leaders.
Photos from our Spring 2026 (Hybrid) Bootcamp
Omer l.
What I learned about Al and creating stuff like we did in class is AMAZING. I cannot wait to show what I learned to my friends and family. I really love the fact that coding is really simple. Just need to make sure not to make any typos/mistakes, otherwise it won't work. With Al, we can code and create many wonderful things.
Hamzah M.
I learned a lot about Al, how it is created, how it is trained and how it can be used in everyday life. I also learned the basics of coding and would like to learn more about how we can create big projects like the one we did in class, and more about libraries such as tensorflow.
Abdullah M.
Before the course I thought coding was very hard, but now I know more about coding and I can make simple programs.
