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Applied Data Science and Machine Learning

From ML fundamentals to LLMs and vector databases

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Applied Data Science and Machine Learning

Duration

12 weeks

Format

Live + Offline

Problems

26+

Difficulty

Intermediate

What You'll Learn

Build and deploy ML models\nUnderstand deep learning and neural networks\nWork with transformers and LLMs\nImplement vector databases for AI applications

Course Curriculum

Total: 26+ problems

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

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Applied Data Science and Machine Learning

Applied Data Science and Machine Learning

What You'll Learn

Course Curriculum

Week 1: Python for Data Science3 problems

Week 2: Statistics & Probability3 problems

Week 3: Machine Learning Fundamentals4 problems

Week 4: Deep Learning & Neural Networks4 problems

Week 5: Natural Language Processing3 problems

Week 6: Transformers & LLMs3 problems

Week 7: Vector Databases & RAG3 problems

Week 8: ML System Design & Deployment3 problems

Frequently Asked Questions