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Python Fundamentals

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• ○ Python Basics
• ○ if-else and Flow Control
• ○ Loops
• ○ Functions
• ○ Debugging
• ○ Lists
• ○ Dictionaries and Structuring Data
• ○ Strings and Text Editing
• ○ Regular Expressions
• ○ Reading and Writing Files
• ○ Organizing Files
• ○ Command Line Programs
• ○ Web Scraping
• ○ Excel Spreadsheets
• ○ Google Sheets
• ○ SQLite Databases
• ○ PDF and Word Documents
• ○ CSV, JSON, and XML Files
• ○ Time, Scheduling, and Launching Programs
• ○ Sending Emails, Texts, and Push Notifications
• ○ Graphs and Images
• ○ Text in Images (OCR)

ML Core

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• ○ Dataset Statistics and Visualization
• ○ Feature Engineering
• ○ Algorithm Families
• ○ Introduction to Neural Networks
• ○ AI/ML Model Training
• ○ CNNs and Computer Vision
• ○ Transformers, RAG Models, and LLMs
• ○ Dimensionality Reduction
• ○ Model Evaluation
• ○ Deployment and Monitoring
• ○ Object-Oriented Programming

Hands-on Labs

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• ○ Teen Mental Health
• ○ Netflix Titles Catalog
• ○ Heart Disease Neural Networks
• ○ CV Lab 01: Image Transforms and Augmentation
• ○ CV Lab 02: Convolutions and Feature Maps
• ○ CV Lab 03: Model Comparison and Metrics
• ○ CV Lab 04: Grad-CAM Interpretability
• ○ Fruit and Vegetable Classification

Engineering Toolkit

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• ○ Git and Version Control
• ○ SQL for Data Science
• ○ Testing and Unit Tests
• ○ Data Engineering and Pipelines
• ○ Communicating with Visualization

Business & Process

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• ○ Framing AI Use Cases
• ○ Agile Development Methodology