| 2021-09-21 | MLOps: Creating an AWS account and GitHub account, Session 1, part 2 |
| 2021-09-21 | MLOps: Common Serialization Approaches, Session 2, part 1 |
| 2021-09-09 | Machine Learning on Source Code - GitHub / Open AI Copilot |
| 2021-09-02 | AI Product, Part 9: Long-term Validation |
| 2021-09-02 | AI Product, Part 8: Short-term Validation |
| 2021-09-02 | AI Product, Part 7: Storytelling |
| 2021-09-02 | AI Product, Part 6: Product Team |
| 2021-09-02 | AI Product, Part 5: Discovery |
| 2021-09-02 | AI Product, Part 4: Talking to Users |
| 2021-09-02 | AI Product, Part 3: Ideation |
| 2021-09-02 | AI Product, Part 2: Frameworks |
| 2021-09-02 | AI Product, Part 1: Principles |
| 2021-09-01 | Explainable AI, Session 5: Intro to SHAP |
| 2021-09-01 | Explainable AI, Session 4: Intro to LIME |
| 2021-09-01 | Explainable AI, Session 3: Explainability Options |
| 2021-09-01 | Explainable AI, Session 2: Why Do We Need Machine Learning Explanations |
| 2021-09-01 | Explainable AI, Session 1: Introduction, Welcome & A Message from the Instructor |
| 2021-08-31 | Graph Neural Networks, Session 6: DeepWalk and Node2Vec |
| 2021-08-31 | Graph Neural Networks, Session 5: Graph Attention Networks |
| 2021-08-31 | Graph Neural Networks, Session 4: Simple Graph Convolution |
| 2021-08-31 | Graph Neural Networks, Session 3: Machine-Learning Tasks on Graphs |
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