Course Overview
Become an AI and Machine Learning specialist with our comprehensive program. Master artificial intelligence algorithms, build neural networks, develop deep learning models, and create intelligent applications using cutting-edge frameworks like TensorFlow and PyTorch.
What You'll Learn
Machine Learning Fundamentals
Supervised, unsupervised, and reinforcement learning algorithms
Deep Learning & Neural Networks
CNNs, RNNs, GANs, and transformer architectures
TensorFlow & PyTorch
Master leading AI frameworks for model development
Computer Vision
Image processing, object detection, and facial recognition
Natural Language Processing
Text analysis, chatbots, and language model development
AI Applications
Deploy AI models in production environments
Course Curriculum
- Mathematics for Machine Learning
- Statistics and Probability
- Linear Algebra and Calculus
- Python for ML (NumPy, Pandas, Matplotlib)
- Introduction to Scikit-learn
- Data Preprocessing and Feature Engineering
- Linear and Logistic Regression
- Decision Trees and Random Forests
- Support Vector Machines
- K-Nearest Neighbors
- Ensemble Methods
- Model Evaluation and Cross-Validation
- Neural Networks and Backpropagation
- TensorFlow and Keras
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- LSTM and GRU Networks
- Generative Adversarial Networks (GANs)
- Computer Vision Projects
- Natural Language Processing
- Reinforcement Learning
- Transfer Learning and Fine-tuning
- Model Deployment and MLOps
- Capstone AI Project
