🎯 Suitable For: Developers, ML/AI engineers, tech leads, researchers aiming for deep GenAI expertise
📚 Course Type: Advanced, hands-on, theory-to-production
⏳ Duration: 24 Weeks
🌐 Mode: Live Online Sessions (2×2 hrs/week)
Weeks 1–2: Data & Math Foundations
EDA, preprocessing, feature engineering-Math: Linear algebra, stats, calculus Tools: NumPy, Pandas, Scikit-learn
Weeks 3–5: ML Algorithms
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SVM, Naive Bayes, Trees, Boosting, Clustering
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Tools: Scikit-learn, XGBoost, LightGBM
Week 6: Deep Learning
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NN training, architecture patterns
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Tools: PyTorch & TensorFlow
Week 7: Computer Vision
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CNNs, Transfer Learning, Object Detection
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Tools: torchvision, tf.keras
Week 8: NLP with Transformers
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Word2Vec, BERT/GPT, fine-tuning
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Tools: Hugging Face, Tokenizers
Week 9: Generative Models
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VAEs, GANs, Autoencoders
Week 10: MLOps
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Tracking, versioning, deployment
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Tools: MLflow, Docker, Cloud
Week 11: Responsible AI
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Fairness, explainability, bias mitigation
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Tools: SHAP, LIME
Weeks 12–24: Capstone + Specialization
Projects in NLP, CV, or MLOps
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