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AI & Machine Learning Master artificial intelligence and machine learning with hands-on projects. Learn neural networks, deep learning, and real-world AI applications. This comprehensive course covers everything from basic ML algorithms to advanced deep learning techniques used in industry.
What You'll Learn Natural Language Processing Learning Outcomes Build and deploy ML models from scratch Understand neural network architectures Implement computer vision applications Create NLP solutions for real problems Deploy models to production Work on industry-level projects Course Curriculum Week 1
Python & ML Fundamentals Python refresher NumPy
Week 2
Supervised Learning Linear Regression Logistic Regression
Week 3
Model Evaluation Metrics Cross-validation
Week 4
Neural Networks Basics Perceptrons Backpropagation
Week 5
Deep Learning CNNs RNNs
Week 6
Computer Vision Image classification Object detection
Week 7
NLP Fundamentals Text preprocessing Word embeddings
Week 8
Advanced NLP Sequence-to-sequence Attention mechanism
Week 9
Generative AI VAEs GANs
Week 10
Reinforcement Learning Q-learning Deep Q-networks
Week 11
Model Deployment Flask API Docker
Week 12
Capstone Project Real-world problem Full ML pipeline
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