Python Course Syllabus
Introduction to AI – History & Applications
AI vs ML vs DL
Problem-Solving Techniques in AI
Intelligent Agents & Environments
Search Strategies & Game Playing
Linear Algebra (Vectors, Matrices, Eigenvalues)
Probability & Statistics
Bayes Theorem & Conditional Probability
Calculus (Derivatives, Gradients)
Supervised Learning (Regression, Classification)
Unsupervised Learning (Clustering, Dimensionality Reduction)
Reinforcement Learning (Q-Learning, MDP)
Model Training & Evaluation (Bias-Variance, Metrics)
Introduction to Neural Networks
Backpropagation & Gradient Descent
CNNs (Convolutional Neural Networks)
RNNs, LSTMs & GRUs
Generative Models (GANs, VAEs)
Text Preprocessing (Tokenization, Stemming, Lemmatization)
Word Embeddings (Word2Vec, GloVe, FastText)
Transformers & Attention Mechanism
Large Language Models (GPT, BERT)
Chatbots & Conversational AI
Image Processing Basics (Filters, Edge Detection)
Object Detection (YOLO, SSD, Faster R-CNN)
Image Classification & Segmentation
Face Recognition Systems
Python for AI (NumPy, Pandas, Matplotlib)
TensorFlow & Keras
PyTorch
Scikit-learn
OpenCV & Hugging Face Transformers
AI in Healthcare
AI in Finance
AI in Autonomous Vehicles
AI in Robotics
Recommendation Systems & Forecasting
Bias in AI Systems
Explainable AI (XAI)
Fairness, Accountability & Transparency
AI Safety & Regulations

AI Projects

AI Chatbot using NLP + Transformers
Image Classifier with CNN
Stock Price Prediction
Recommender System
Sentiment Analysis