0: What is this?
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This page captures the key insights and learnings from my Leveraging Generative AI for Business Applications program. It is structured as follows:
- Overview (on the left) ā A high-level introduction to the program.
- Visual Summary ā A snapshot of the entire program's outcomes.
- Session-by-Session Breakdown ā Clickable links to detailed content from each session.
- Business Applications ā A final summary of how the learnings can be applied in real-world business scenarios.
- Assignments & Projects ā A collection of quizzes and projects completed throughout the course.
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1: Overview
- Identify problems solvable by Machine Learning across domains.
- Understand the difference between Supervised, Unsupervised, and Reinforcement Learning.
- Learn how Regression and Classification work.
- Evaluate Machine Learning models for performance.
- Start date: 9-Jan
- End date: 16-Feb
2: Visual Summary
Course Sessions:
| Session |
Topic |
Date |
Due Date |
Completion |
| 1 |
ML Foundations for GenAI |
9-Jan |
19-Jan |
18-Jan |
| 2 |
Generative AI: Business Landscape & Overview |
16-Jan |
26-Jan |
25-Jan |
| 3 |
Prompt Engineering 101 |
23-Jan |
2-Feb |
1-Feb |
| 4 |
Project: Product Feedback Review & Sentiment Analysis |
30-Jan |
16-Feb |
8-Feb |
3: Sessions
Sessions Table
4: Business Application of what Iām learning
5: Assignments (Quiz and Projects)
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