| Python Programming |
Advanced: OOP, Error Handling, Data Cleaning, and Feature Engineering. |
| Machine Learning (ML) |
Supervised & Unsupervised Learning, Model Evaluation, and AI for Green Tech Solutions. |
| Deep Learning (DL) |
Building DL Models, CNNs, RNNs for Sustainability Applications like Forecasting and Waste Sorting.
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| Data Visualization |
Heatmaps, Regression Analysis with Seaborn and Matplotlib. |
| Generative AI |
GANs, VAEs, Pre-trained Models, and Simulations for Sustainable Energy Design. |
| AI Ethics & Fairness |
Addressing Bias, Fairness Metrics, and Sustainable AI Development. |
| Green Skills |
Smart Grids, AI in Climate Action, and Circular Economy. |
| Employability Skills |
Effective communication, design thinking, critical thinking, career exploration, interview skills,
workplace skills, resume building. |
