Course Overview

Master AI and ML algorithms. Neural networks, deep learning, NLP and computer vision applications.

About This Course

Advanced AI/ML course covering machine learning algorithms, deep learning, neural networks, NLP, computer vision, and reinforcement learning. Build AI-powered applications and understand state-of-the-art models.

What You’ll Learn

• Machine learning fundamentals
• Neural networks architecture
• Deep learning with TensorFlow/PyTorch
• Natural language processing
• Computer vision
• Reinforcement learning
• Model optimization
• Production deployment

Course Modules

• ML Fundamentals
• Regression and Classification
• Neural Networks
• Deep Learning
• CNNs for Computer Vision
• RNNs and LSTMs
• Natural Language Processing
• Transformers and BERT
• GANs
• Reinforcement Learning
• Model Deployment
• MLOps
• Industry Projects

Tools & Technologies

Python, TensorFlow, PyTorch, Keras, OpenCV, NLTK, spaCy, Scikit-learn, Docker, AWS/Azure ML

Prerequisites

1. Basic Python knowledge.
2. Basic understanding of mathematics (linear algebra & probability)