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Module 1: Data Wrangling with Python | ||||
Sprint 1 | First Steps Into Programming | |||
Sprint 2 | Intermediate Programming with Python | |||
Sprint 3 | Data Processing with NumPy and Pandas | |||
Sprint 4 | Data Visualization with Python | |||
Module 2: Statistical Inference | ||||
Sprint 1 | Introduction to SQL and Statistics Fundamentals | |||
Sprint 2 | Statistical Inference | |||
Sprint 3 | Regression | |||
Module 3: Machine Learning | ||||
Sprint 1 | Supervised Machine Learning Fundamentals | |||
Sprint 2 | Gradient Boosted Trees & Feature Engineering | |||
Sprint 3 | Unsupervised Learning & Hyperparameter Tuning | |||
Sprint 4 | Capstone project | |||
Module 4: Computer Vision (AI Specialization, Optional) | ||||
TBA | TBASprint 1 | Deep Learning Fundamentals | ||
Sprint 2 | Digital image processing | |||
Sprint 3 | Image Classification | |||
Sprint 4 | Detection and Segmentation | |||
Module 4: LLM Engineering Fundamentals (AI Specialization, Optional) | TBA | TBA|||
Sprint 1 | Deep Learning Fundamentals | |||
Sprint 2 | Natural Language Processing | |||
Sprint 3 | Working with LLMs | |||
Sprint 4 | Capstone project |
Program Structure (up to 2024-04)
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