ai course in karachi

If you are looking for a complete AI course in Karachi, Pakistan, this opportunity is for you. Sir Shahzad Waiz provides a professional and structured AI course for students, professionals, and anyone passionate about learning Artificial Intelligence in depth.

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📍 Location: Karachi, Pakistan
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AI course in Karachi Pakistan

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

This module gives an overview of what Artificial Intelligence is, how it started, and how it has evolved over time. Examining how AI is utilized in real-world sectors like marketing, finance, and healthcare, students will learn about various AI systems.

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)

Students learn here how intelligent agents function and how AI systems use various search methods to solve problems. It covers game strategies like Minimax and Alpha-Beta pruning as well as important algorithms like BFS, DFS, and A*.

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

This module focuses on how AI systems use logic to represent knowledge and make decisions based on that representation. You’ll learn about rule-based systems, expert systems, and tools like semantic networks and ontologies.

Module 4: Machine Learning Fundamentals

• Supervised vs. unsupervised learning

• Model evaluation (accuracy, precision, recall, F1, ROC)

• Overfitting and regularization

Learn the basic concepts of machine learning including the difference between supervised and unsupervised learning, how to evaluate a model, and how to avoid common problems like overfitting.

Module 5: Supervised Learning Algorithms

• Linear regression

• Logistic regression

• Decision trees

• k-Nearest Neighbors

• Support Vector Machines

This module teaches you how to train models on labeled data using algorithms like linear regression, decision trees, k-NN, and SVM. These are commonly used in real-world prediction tasks.

Module 6: Unsupervised Learning Algorithms

• Clustering (k-Means, Hierarchical)

• Dimensionality reduction (PCA, t-SNE)

Utilize clustering techniques like k-Means to discover hidden patterns in unlabeled data. Additionally, you will gain knowledge of dimensionality reduction methods like PCA and 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)

In this module, you’ll explore how neural networks work, including concepts like perceptrons, activation functions, and backpropagation. CNNs, RNNs, and advanced architectures like BERT and Transformers will also be covered.

Module 8: Natural Language Processing (NLP)

• Text preprocessing (tokenization, stemming, etc.)

• Word embeddings (Word2Vec, GloVe)

• Sequence-to-sequence models

• Language models and chatbots

This module teaches how AI understands and processes human language. Students will work with text data, word embeddings, and chatbot models. You’ll explore how modern NLP powers tools like chatbots and translation apps.

Module 9: Reinforcement Learning

• Markov Decision Processes (MDPs)

• Q-learning and SARSA

• Deep Q-Networks (DQN)

Find out how agents acquire decision-making skills through practice with rewards and punishments. Q-learning, Markov Decision Processes, and advanced methods like Deep Q-Networks are key concepts.

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

This final module discusses the responsibility of using AI. It discusses crucial topics like bias, fairness, transparency, and the impact of AI on employment, the law, surveillance, and the future of work.

AI course in Karachi Pakistan

This AI course is excellent for:

• Students who want to build a career in AI
• IT professionals seeking skill enhancement
• Freelancers and developers
• Anyone who wants to understand how modern AI works