(Preliminary schedule, subject to change)
| Date | Topic | Reading | Assignment due |
|---|---|---|---|
| Wed, Jan 18 | Introduction and Motivation (book chapter) | ||
| Fri, Jan 20 |  Calling, securing, and creating APIs: Flask |
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| Mon, Jan 23 | From Models to AI-Enabled Systems (book chapter 1, chapter 2, chapter 3) | Building Intelligent Systems, Ch. 4, 5, 7, 8 | |
| Wed, Jan 25 | Gathering and Untangling Requirements (book chapter) | The World and the Machine | |
| Fri, Jan 27 | Stream processing: Apache Kafka |
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| Mon, Jan 30 | Planning for Mistakes (book chapter) | Building Intelligent Systems, Ch. 6, 7, 24 | I1: ML Product |
| Wed, Feb 01 | Model Quality (book chapter 1, chapter 2) | Building Intelligent Systems, Ch. 19 | |
| Fri, Feb 03 | Collaborating with GitHub: Pull requests, GitFlow, GitHub actions |
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| Mon, Feb 06 | Fostering Interdisciplinary (Student) Teams | I2: Requirements | |
| Wed, Feb 08 | Model Testing Beyond Accuracy (book chapter) | Behavioral Testing of NLP Models with CheckList | |
| Fri, Feb 10 | Collaboration tools: Jira, Miro, Slack, ... |
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| Mon, Feb 13 | Toward Architecture and Design (book chapter 1, chapter 2, chapter 3) | Building Intelligent Systems, Ch. 18 & Choosing the right ML alg. | |
| Wed, Feb 15 | Model Deployment (book chapter) | Building Intelligent Systems, Ch. 13 and Machine Learning Design Patterns, Ch. 16 | |
| Fri, Feb 17 | Containers: Docker |
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| Mon, Feb 20 | Testing in Production (book chapter) | Building Intelligent Systems, Ch. 14, 15 | M1: Modeling and First Deployment |
| Wed, Feb 22 | Data Quality (book chapter) | Data Cascades in High-Stakes AI | |
| Fri, Feb 24 | Model Testing: Zeno and AdaTest |
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| Mon, Feb 27 | Automating and Testing ML Pipelines (book chapter 1, chapter 2, chapter 3) | The ML Test Score | I3: Architecture |
| Wed, Mar 01 |  Midterm |
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| Fri, Mar 03 | Continuous Integration: Jenkins |
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| Mon, Mar 06 |  Spring break, no classes |
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| Wed, Mar 08 | Spring break, no classes |
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| Fri, Mar 10 | Spring break, no classes |
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| Mon, Mar 13 | Scaling Data Storage and Data Processing (book chapter) | Big Data, Ch. 1 | |
| Wed, Mar 15 | Planning for Operations (chapter) | Operationalizing Machine Learning | |
| Fri, Mar 17 | Pipeline automation: tbd |
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| Mon, Mar 20 | Process & Technical Debt (book chapter 1, chapter 2) | Hidden Technical Debt in Machine Learning Systems | |
| Wed, Mar 22 | Intro to Ethics + Fairness (book chapter 1, chapter 2) | ||
| Fri, Mar 24 | Monitoring: Prometheus, Grafana |
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| Mon, Mar 27 | Measuring Fairness (book chapter) | M2: Infrastructure Quality | |
| Wed, Mar 29 | Building Fairer Systems (book chapter) | ||
| Fri, Mar 31 | Fairness |
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| Mon, Apr 03 | Explainability & Interpretability (book chapter) | Black boxes not required or Stop Explaining Black Box ML Models… | I4: Open Source Tools |
| Wed, Apr 05 | Transparency & Accountability (book chapter) | People + AI, Ch. Explainability and Trust | |
| Fri, Apr 07 | Debugging |
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| Mon, Apr 10 | Versioning, Provenance, and Reproducability (book chapter) | ||
| Wed, Apr 12 | Safety (book chapter) | ||
| Fri, Apr 14 | Spring Carnival, no classes |
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| Mon, Apr 17 | Security and Privacy (book chapter) | ||
| Wed, Apr 19 | More Safety, Security, and Privacy (tbd) | M3: Monitoring and CD | |
| Fri, Apr 21 | tbd |
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| Mon, Apr 24 | Fostering Interdisciplinary Teams (book chapter) | Collaboration Challenges in Building ML-Enabled Systems | |
| Wed, Apr 26 | Summary and Review | M4: Fairness, Security and Feedback Loops | |
| tbd | Final Project Presentations | Final report |