- Course Overview
- Tool Setup
- Online Research Tips
- Further Reading and Helpful Links
- See the great work by Matt Watkins collecting examples. Sorry example links only accessible to students of the DU AI Courses.
- Resources
- Cheatsheets & Tips
- Books
- Articles
- Subscriptions
- Career Engagement
- Data Sources
DU AI bootcamp starting Feb 12, 2024
The DU AI Bootcamp is broken into 21 modules plus a final project.
These modules are:
| Mod | Description | Week | Challenge Due | repo |
|---|---|---|---|---|
| 0. | AI Orientation | 1 | ||
| 1. | Introduction to AI | 2 | 2/26* | ai-case-study |
| 2. | Programming for AI: Part 1 | 3 | 3/4+ | python-challenge-1 |
| 3. | Programming for AI: Part 2 | 4 | 3/11 | customer_banking |
| 4. | Preparing Data with Pandas: Part 1 | 5 | 3/18 | pandas-challenge-1 |
| 5. | Preparing Data with Pandas: Part 2 | 6 | 3/25 | athletic_sales_analysis |
| 6. | Sourcing Data for AI Projects | 7 | 4/1 | data-sourcing-challenge |
| 7. | Exploring Data through Visualizations | |||
| 8. | Making Predictions with Data | 9 | 4/15 | prophet-challenge |
| 9. | Project 1, Week 1 | |||
| 10. | Project 1, Week 2 | 10 | 4/22 | project-1 |
| 11. | Unsupervised Learning | 12 | 5/6 | CryptoClustering |
| 12. | Supervised Learning - Linerar Regression | |||
| 13. | Supervised Learning - Classification | 14 | 5/20 | classification-challenge |
| 14. | ML Optimization | |||
| 15. | AI Ethics | |||
| 16. | Project 2, Week 1 | |||
| 17. | Project 2, Week 2 | 17 | 6/11 | project-2 |
| 18. | Neural Networks and Deep Learning - Part | ?? | neural-network-challenge-1 | |
| 19. | Neural Networks and Deep Learning - Part | 20 | 7/2 | neural-network-challenge-2 |
| 20. | Natural Language Processing | |||
| 21. | Transformers | ?? | sms_spam_detector |
Each week typically has 3 sessions:
The sessions will be added to the course gitlab page as we get to them. However, you can go on the course bootcamp website, navigate to the course and module and download the material in advance.