Advanced AI and Machine Learning for Professionals

Program Structure

Module 1: Advanced Machine Learning Techniques (3 Weeks)

• Overview of advanced algorithms
• Ensemble methods: boosting, bagging, stacking
• Dimensionality reduction (PCA, LDA)
• Time series forecasting models
• Hands-on project: Predict stock prices using advanced machine learning models

Module 2: Deep Learning Specialization (3 Weeks)

• Deep learning basics: neural networks, activation functions
• Architectures: CNNs, RNNs
• Hyperparameter tuning and optimization
• Transfer learning with pre-trained models
• Hands-on project: Build a deep learning model for image classification using CNNs

Module 3: Reinforcement Learning (2 Weeks)

• Introduction to reinforcement learning (RL)
• Markov decision processes (MDPs), policies, and rewards
• Deep Q-networks (DQN) and policy gradients
• Applications: robotics, gaming, autonomous systems
• Hands-on project: Create a reinforcement learning agent to solve a maze

Module 4: Computer Vision and Image Processing (2 Weeks)

• Fundamentals of computer vision
• Feature extraction and object detection
• Working with OpenCV and deep learning
• Image segmentation, face recognition
• Hands-on project: Develop an object detection model using computer vision techniques

Who Should Enrol?

Program Outcomes

Fee Structure

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