Tech
AI & Coding for College Students & Professionals
For College Students and Working Professionals
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:
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5-week online bootcamp (October 3 – November 1)
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Format: Live sessions on Zoom
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Schedule: To be determined.
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Time: To be determined.
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Students receive certificates upon completion
What You'll Learn:
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🐍 Python Programming for Beginners — Variables, data types, loops, conditions, functions, and programming fundamentals
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🗄️ SQL & Databases — Write SQL queries, filter and analyze data, use aggregations, JOINs, CTEs, and introductory window functions
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📊 Data Analysis — Work with real datasets using Pandas, explore data, clean data, and uncover insights
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🤖 Machine Learning Fundamentals — Understand supervised learning,
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🧠 Generative AI & LLMs — Learn how ChatGPT-style AI systems work, including LLMs, tokens, prompting, embeddings, and AI limitations
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🔌 AI APIs — Connect Python applications to modern AI models and work with API requests, responses, and JSON
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🚀 AI Application Development — Build a practical AI-powered application from the ground up
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🎯 AI & Tech Career Roadmap — Understand the skills and learning paths needed to move toward careers in AI.
Bootcamp Content
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Week 1: Python Programming Foundations — Students will learn the fundamentals of programming with Python, including variables, data types, conditional statements, loops, functions, lists, and dictionaries. They’ll develop problem-solving skills through hands-on coding exercises and build their first practical Python project.
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Week 2: SQL & Databases — Students will learn how to work with databases and use SQL to find, filter, organize, and analyze data. They’ll practice writing queries using SELECT, WHERE, GROUP BY, aggregations, JOINs, CTEs, and introductory window functions while analyzing a real-world job market dataset.
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Week 3: Data Analysis & Machine Learning — Students will learn how to work with real-world datasets using Python and Pandas, clean and explore data, create visualizations, and identify patterns. They’ll then be introduced to machine learning concepts and build their first predictive model using Scikit-learn.
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Week 4: Generative AI & Large Language Models — Students will explore how modern generative AI systems work, including LLMs, tokens, context windows, prompting, hallucinations, and AI limitations. They’ll learn effective prompt engineering and use Python and AI APIs to interact with an AI model and build a simple AI assistant.
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Week 5: AI Application Development & Capstone Project — Students will bring together the skills they’ve learned throughout the bootcamp to build a practical AI-powered application. They’ll work with Python, APIs, data, and generative AI while learning how AI applications are designed and developed. The week concludes with a capstone project and student presentations.
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.
