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- Machine Learning and AI Certification
Curriculum
- 12 Sections
- 67 Lessons
- 12 Weeks
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- Week 1: Introduction to Machine Learning and AI12
- 1.1Topic 1 – Introduction to Python
- 1.2Topic 2 – Control Statements and Loops
- 1.3Topic 3 – Data Structures in Python
- 1.4Topic 4 – Python Functions
- 1.5Topic 5 – Python Functions – Continue
- 1.6Topic 6 – Functions as Arguments to Other Functions
- 1.7Assignment 1
- 1.8Assignment 2
- 1.9Assignment 3
- 1.10Assignment 4
- 1.11Practical
- 1.12Assignment Solution
- Week 2: Data Preprocessing and Feature Engineering7
- Week 3: Supervised Learning I (Regression)7
- Week 4: Supervised Learning II (Classification)7
- Week 5: Unsupervised Learning7
- Week 6: Neural Networks and Deep Learning8
- Week 7: Advanced Deep Learning7
- Week 8: Natural Language Processing (NLP)6
- Week 9: Reinforcement Learning0
- Week 10: AI in Practice6
- Week 11: Capstone Project0
- Week 12: Certification and Career Preparation0
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