| Module | Courses | Alternatives | Time and Duration | Extra Resources |
|---|---|---|---|---|
| Machine Learning | Coursera - Machine Learning by Andrew Ng | edX - Machine Learning | 5 months | Deep Learning Book |
| Deep Learning | Deep Learning Specialization on Coursera | Fast.ai - Practical Deep Learning for Coders | 5 months | Neural Networks and Deep Learning |
| Reinforcement Learning | Coursera - Reinforcement Learning Specialization | edX - Reinforcement Learning | 4 months | Sutton & Barto - Reinforcement Learning: An Introduction |
| Inference and Causality | edX - Causal Diagrams: Draw Your Assumptions Before Your Conclusions | Coursera - Causal Inference | 3 months | Causal Inference in Statistics: A Primer |
| Seminar: Current Topics in AI | Various Topics in AI Seminars | Research Papers and Journals | Flexible | Arxiv Sanity Preserver |
| Image Processing and Low Level Vision | Coursera - Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital | edX - Image Processing | 3 months | Digital Image Processing |
| Module | Courses | Alternatives | Time and Duration | Extra Resources |
|---|---|---|---|---|
| Mid-Level Vision and Video | Coursera - Advanced Computer Vision | edX - Computer Vision | 4 months | Computer Vision: Algorithms and Applications |
| High-Level Vision | edX - Advanced Vision and Learning in Artificial Intelligence | Fast.ai - Cutting Edge Deep Learning for Coders | 4 months | Multiple View Geometry in Computer Vision |
| Project: Computer Vision | Practical Deep Learning for Coders | Coursera - Deep Learning for Computer Vision | 6 months | OpenCV Documentation |
| Master Thesis | Guidelines for Master's Thesis Preparation | edX - Thesis Writing | 9 months | Writing Your Thesis |