| Python Programming |
OOP, Data Preprocessing, and Feature Engineering. |
| Machine Learning (ML) |
Supervised Learning, Clustering, and Model Evaluation. |
| Deep Learning (DL) |
Deep Learning Models, CNNs for Image Classification, RNNs for Forecasting Climate Data. |
| Data Visualization |
Advanced Visualization including Matplotlib, Seaborn for Heatmaps, and Scatter Plots. |
| Natural Language Processing (NLP) |
Text Summarization, Speech-to-Text, and AI for Language Applications. |
| Generative AI |
GANs, Fine-Tuning, and Simulations for Energy-Efficient Systems. |
| AI Ethics & Fairness |
Addressing AI Bias, Fairness Metrics, and Policy Frameworks for Ethical AI Deployment. |
| Green Skills |
Applications of AI in Biodiversity, Renewable Energy, and Waste Management. |
| Employability Skills |
Effective communication, design thinking, critical thinking, career exploration, interview skills,
workplace skills, resume building. |
