| Day 1 |
Introduction to Generative AI Models, Explainable AI, Prompt Engineering, ChatGPT Fine-tuning,
Ethical Considerations in Generative AI & ChatGPT
|
3 Hrs |
| Day 2 |
The Future of Generative AI, Deploying and Scaling ChatGPT,
Security and Privacy Considerations, Monitoring, Debugging, and Maintaining ChatGPT
|
3 Hrs |
| Day 3 |
Fundamentals of Programming, Introduction to Python,
Data Types, Operators, and Conditional Statements
|
3 Hrs |
| Day 4 |
Loops, Functions, OOP Concepts in Python, Threading,
Essentials of Python for Data Science
|
3 Hrs |
| Day 5 |
NumPy, Linear Algebra, Statistics Fundamentals,
Probability Distributions, Advanced Stats, Working with Pandas
|
3 Hrs |
| Day 6 |
Machine Learning Fundamentals: Supervised Learning,
Regression Models, Classification Models, ML Applications
|
3 Hrs |
| Day 7 |
Unsupervised Learning, Ensemble Learning, Recommendation Systems,
Image Processing, Intro to Computer Vision, Computational Thinking & Data Analysis
|
3 Hrs |