Empowering Tomorrow’s Innovators
Code Scholars Tutoring – AI/ML Essentials
Email: codescholarstutoring@gmail.com
A 10-Week Guided Program for High School & College Beginners
Week 1: Foundations of AI and Python
Students are introduced to what AI is and how Python helps power it. They will learn basic
coding concepts and explore simple tools for building AI projects.
🟨 Project Highlight: Analyze Your Own Dataset
Week 2: Python Programming and Data Manipulation
Students deepen their Python skills while learning to clean, organize, and analyze real-
world data using powerful libraries like pandas and NumPy.
🟨 Project Highlight: Predict Student Exam Scores
Week 3: Intro to Machine Learning – Supervised Learning
An introduction to how machines learn from labeled data. Students explore classification
techniques and how to evaluate their model’s predictions.
🟨 Project Highlight: Classify Student Performance
Week 4: Unsupervised Learning Essentials
Students explore how AI finds patterns in data without being told what to look for.
Clustering and data visualization are key highlights.
‘🟨 Project Highlight: Customer Segmentation with k-Means Clustering
Week 4 (Part 2): Model Evaluation and Tuning
They’ll improve models using evaluation metrics and optimization techniques to boost
reliability and real-world use.
🟨 Project Highlight: Model Optimization Challenge
Week 5: CNNs, Transfer Learning & Generative AI
Students are introduced to computer vision and creative AI. They build image classifiers
and learn how AI can create art and photos.
🟨 Project Highlight: Image Classification with CNNs
Week 6: Transformers, LLMs, and Agentic AI
Students explore modern AI systems like ChatGPT, how they process language, and how to
build intelligent agents that perform complex tasks.
🟨 Project Highlight: AI Text Generator with Custom Prompts
Week 7: NLP, Chatbots, and Multimodal AI
This week introduces chatbots and apps that understand text, images, and audio. They then
integrate them into no-code tools for real-world usage.
🟨 Project Highlight: Design an AI Chatbot for Your Website
Week 8: RNNs, LSTMs, Speech AI, & Music Generation
Students work with sequential data to analyze text and generate audio. They explore
speech-based AI, music generation, and voice-powered tools.
🟨 Project Highlight: Sentiment Analysis with LSTM Networks
Week 9: Reinforcement Learning + Advanced AI
AI learns through rewards and decision-making. Students teach AI to play games and
explore advanced modeling techniques like ensemble learning.
🟨 Project Highlight: Training an AI Agent to Play a Game
Week 10: Deployment, Ethics, and Capstone
The final week prepares students to share their projects, understand AI fairness, and deploy
models using APIs and cloud tools.
🟨 Project Highlight: Deploying a Machine Learning Model as an API
Empowering Tomorrow’s Innovators