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Data Science & Machine Learning

Master ML, deep learning, transformers, and LLMs

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Duration

12 weeks

Format

Live + Offline

Projects

20+ Hands-on

Difficulty

Intermediate

What You'll Learn

Master machine learning algorithms (linear regression, decision trees, XGBoost)

Build deep neural networks with TensorFlow and PyTorch

Implement CNNs for computer vision and image classification

Work with transformers, BERT, GPT, and large language models

Build RAG systems and semantic search with vector databases

Deploy production ML models with MLOps best practices

Total: 100+ problems

Note: Curriculum may vary based on cohort progress and student needs. All enrolled students get lifetime access to course materials and recordings.

FAQs

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