AI course in karachi pakistan
AI course in karachi pakistan
Sir Shahzad waiz Provide AI course in karachi Pakistan.
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Module 1: Introduction to AI
History and evolution of AI
Definitions and scope of AI
Types of AI: Narrow, General, and Super AI
Applications in real-world industries
Module 2: Problem Solving and Search
Intelligent agents and environments
Problem formulation
Uninformed search (BFS, DFS, UCS)
Informed search (A*, greedy)
Adversarial search (Minimax, Alpha-Beta pruning)
Module 3: Knowledge Representation and Reasoning
Logic-based representation (Propositional & Predicate Logic)
Inference in first-order logic
Rule-based systems and expert systems
Ontologies and semantic networks
Module 4: Machine Learning Fundamentals
Supervised vs. unsupervised learning
Model evaluation (accuracy, precision, recall, F1, ROC)
Overfitting and regularization
Module 5: Supervised Learning Algorithms
Linear regression
Logistic regression
Decision trees
k-Nearest Neighbors
Support Vector Machines
Module 6: Unsupervised Learning Algorithms
Clustering (k-Means, Hierarchical)
Dimensionality reduction (PCA, t-SNE)
Module 7: Neural Networks and Deep Learning
Perceptron and multilayer perceptron (MLP)
Activation functions
Backpropagation
CNNs for image processing
RNNs and LSTMs for sequence modeling
Introduction to modern architectures (Transformers, BERT)
Module 8: Natural Language Processing (NLP)
Text preprocessing (tokenization, stemming, etc.)
Word embeddings (Word2Vec, GloVe)
Sequence-to-sequence models
Language models and chatbots
Module 9: Reinforcement Learning
Markov Decision Processes (MDPs)
Q-learning and SARSA
Deep Q-Networks (DQN)
Module 10: AI Ethics and Social Impact
Bias and fairness in AI
Explainability and transparency
AI in law, healthcare, and surveillance
Future of work and automation