Artificial Intelligence
Understand the core concepts of Artificial Intelligence and its real-world applications. Learn AI models, tools, and techniques to build intelligent solutions across industries
Course Outline
Prerequisites for AI
- Basic knowledge of Mathematics, Computer Science, and Programming.
- Since it’s a beginner-level course, therefore programming skill is not mandatory.
Chapter 1 : Introduction to Artificial Intelligence
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What is AI? History, scope, and applications
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Types of AI: Narrow, General, and Superintelligence
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Real-world use cases of AI in industries
Chapter 2 : Fundamentals of Intelligence
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Understanding natural vs artificial intelligence
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Types of intelligence (emotional, logical, cognitive)
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Role of data in intelligence
Chapter 3 : Intelligent Agents
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Agents and environments
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Types of agents (reflex, model-based, goal-based, learning agents)
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Structure of an intelligent agent
Chapter 4 : Problem Solving & Search Techniques
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Problem-solving approaches in AI
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Uninformed (blind) search strategies
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Heuristic search strategies
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Applications of heuristic methods
Chapter 5 : Knowledge Representation & Reasoning
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Representation techniques: logic, rules, and semantic networks
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Propositional & predicate logic basics
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Rules of inference and reasoning
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Tools for logical problem solving
Chapter 6 : Machine Learning Foundations
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Overview of learning in AI
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Supervised Learning: classification and regression basics
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Unsupervised Learning: clustering and dimensionality reduction
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Reinforcement Learning: agents, environments, and reward systems
Chapter 7 : Introduction to Artificial Intelligence
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What is AI? History, scope, and applications
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Types of AI: Narrow, General, and Superintelligence
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Real-world use cases of AI in industries
Chapter 8 : Course Wrap-up & Evaluation
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Recap of AI concepts
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Real-world problem-solving using AI approaches
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Preparation for advanced AI & ML learning paths
Note :
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This is a theory-focused course with problem-based learning.
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Course material (slides, assignments, and references) will be provided via Google Classroom (GCR).
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No hands-on coding is required at this level.
Yousuf Kamal
AI Instructor
Our AI instructor is a skilled professional with expertise in artificial intelligence, machine learning models, and real-world applications. With a passion for teaching, they simplify complex AI concepts into practical, easy-to-learn lessons.
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