Weekly Themes
Each week’s theme ties together the independent learning, lectures, lab workshops, and group projects—so you explore a single idea from multiple angles.
| Week | Overarching Theme | Key Knowledge Areas |
|---|---|---|
| 1 (Sept 28–Oct 4) | Intro to AI and Business Fundamentals | Basics of artificial intelligence, design thinking, and creating value with AI |
| 2 (Oct 5–11) | Collaboration, Strategy, and Lean Startup | Rapid innovation methods, aligning AI ideas with business goals |
| 3 (Oct 12–18) | Ethics, Risk, and Responsible Innovation | Bias, fairness, legal frameworks, governance |
| 4 (Oct 19–25) | Prompt Engineering and Generative AI in Practice | Machine learning basics, data quality, intro to generative AI & prompting |
| 5 (Oct 26–Nov 1) | Machine Learning, Deep Learning & Applied AI | High-impact use cases, model selection, measurable outcomes |
| 6 (Nov 2–8) | NLP & Generative AI & Data | Chatbots, content creation, prompt design best practices |
| 7 (Nov 9–15) | Predictive Analytics and Data Storytelling | Forecasting, dashboards, communicating insights |
| 8 (Nov 16–22) | AI in Marketing, CX, and Productivity | Customer segmentation, workflow automation, process integration |
| 9 (Nov 23–29) | Communicating the Value of AI | Showing the benefits of AI clearly, getting support for AI projects |
| 10 (Nov 30–Dec 6) | Prototyping & Delivery | Building and testing simple AI prototypes, getting ready for launch. Finalize, test, and package solutions; polish decks; rehearse presentations. |
| 11 (Dec 7–11) | Innovation Showcase and Reflection | Deliver final pitch and portfolio; reflect on lessons; plan next steps. |
Dates approximate—see calendar above for exact session details.