📘 This beginner-friendly, hands-on AI course teaches students how to build their first AI chatbot using Python programming. Designed for learners who are new to AI, this course covers the full AI development process—from data collection and cleaning to model training and chatbot deployment using real-world tools and libraries. By the end of the course, students will have a working AI chatbot and a strong foundation in machine learning, data science, and Python-based AI development. ✅ What Will Be Taught? Data Scraping / Collection – Collect real data manually and from websites using Python and BeautifulSoup Data Cleaning – Prepare and clean raw data for AI model training Data Transformation – Convert text into numbers using CountVectorizer Exploratory Data Analysis (EDA) – Visualize and analyze data using Pandas and Matplotlib AI Model Selection & Training – Train a machine learning model using Scikit-learn to understand user input Model Evaluation – Use accuracy metrics and confusion matrices to assess performance Chatbot Deployment – Deploy your AI chatbot using Flask so it can be accessed online Ongoing Maintenance – Learn how to monitor, test, and improve your chatbot over time 🧑🏫 Class Format & Teaching Style Interactive, project-based learning with real coding in Google Colab No prior AI knowledge needed – we teach AI step by step Students code while learning and complete mini-projects that build toward their final chatbot Supportive and collaborative environment, ideal for middle and high school students 🔧 Tools & Platforms Used Programming Language: Python AI/ML Libraries: Scikit-learn, Pandas, Numpy, BeautifulSoup Visualization: Matplotlib, Seaborn Platforms: Google Colab, Jupyter Notebooks Deployment: Flask Web Framework 🎓 Who Should Take This Course? Students (ages 11–18) curious about AI, machine learning, or chatbots Beginners who want to learn Python programming for AI Parents looking for a structured way to introduce AI coding to their children Anyone interested in exploring how chatbots and AI work behind the scenes 🏁 Learning Outcomes By the end of this course, students will: Understand how AI works using Python Build and deploy a real AI chatbot Learn essential AI skills for future tech careers Feel confident working on their own Python projects
Data Scraping and Processing: Students will master techniques for extracting data from websites using BeautifulSoup and will know how to clean and transform raw data into a usable format.
Exploratory Data Analysis (EDA): Students will develop the ability to analyze data using Pandas and visualize patterns and trends using Matplotlib and Seaborn
Hi, I'm Faruk, a Software Test Engineer (SDET) with 12+ years of experience in software development and teaching. I specialize in Python, Java, Scratch, and math, focusing on hands-on projects that connect theory with real-world applications. With a Bachelor's and Master's in Electrical Engineering, I bring technical expertise and a passion for teaching. My goal is to make learning engaging and fun, helping students develop critical thinking and problem-solving skills.
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