Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are designed to think, learn, and make decisions. AI encompasses various subfields such as machine learning, deep learning, natural language processing, and robotics.
Week-1. Introduction to AI
History, Evolution, Types of AI (Narrow AI, General AI, Super AI)
Week-2. AI Applications & Use Cases
Healthcare, Finance, Robotics, Autonomous Vehicles
Week-3. Mathematics for AI
Linear Algebra, Probability, Statistics, Optimization
Week-4. Supervised Learning
Regression, Classification, Decision Trees, SVM
Week-5. Unsupervised Learning
Clustering, Dimensionality Reduction, Anomaly Detection
Week-6. Reinforcement Learning
Markov Decision Process, Q-Learning, Policy Gradient
Week-7. Introduction to Neural Networks
Perceptron, MLP, Backpropagation
Week-8. Convolutional Neural Networks (CNNs)
Image Classification, Object Detection
Week-9. Recurrent Neural Networks (RNNs)
LSTMs, GRUs, Time-Series Predictions
Week-10. Transformers & Large Language Models
BERT, GPT, LLaMA, Attention Mechanism
Week-11. Natural Language Processing (NLP)
Text Processing, Sentiment Analysis, Chatbots
Week-12. Advanced Computer Vision
YOLO, GANs, Image Synthesis, ViTs
Week-13. AI in Business & Industry
AI for Healthcare, Finance, Edge AI, IoT
Week-14. Ethics & Responsible AI
Bias, Fairness, Explainability, Security
Week-15. Capstone Project – Part 1
Defining Problem, Dataset Collection
Week-16. Capstone Project – Part 2
Building, Evaluating & Deploying AI Model