| Technology / Topic |
Skills Acquired |
| Python Programming |
Variables, Loops, Functions, and Data Types. |
| Machine Learning (ML) |
Regression and Supervised Learning Models. |
| Deep Learning (DL) |
Introduction to Neural Networks and Concepts of Layers & Activation Functions. |
| Data Visualization |
Visualization with Excel (Line Plots, Bar Charts, Pie Charts). |
| Natural Language Processing (NLP) |
Basics of NLP, Text-to-Speech and Sentiment Analysis. |
| Generative AI |
Basics of Generative Models, ChatGPT and Simple Applications. |
| AI Ethics & Fairness |
Basics of Ethical AI, Transparency, Privacy, and Sustainability. |
| Green Skills |
Introduction to Green Skilling, Environmental Literacy, and Resource Optimization. |
