Fundamental of AI
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Follow on Instagram for UpdatesFundamental of AI Syllabus — Unit-wise Content
The official GTU curriculum for Fundamental of AI (subject code BE02000041) as prescribed for Common · Semester 2 divides the course into 5 units, covering 15 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (BE02000041)Unit 1 Introduction
- History & overview of Artificial Intelligence Definition of Artificial Intelligence Artificial Narrow Intelligence
- Artificial General Intelligence
- Artificial Super Intelligence Concepts of Production
- Agents and Environments Characteristic of Intelligent Agents
- Concept of Rationality
- Nature of Environments
Unit 2 Knowledge Representation
- Concept of Knowledge representation Introduction to Natural Language processing Concept of Pattern recognition Introduction to Expert systems
Unit 3 Basics of Machine Learning
- Learning from examples Forms of Learning -Supervised learning
- Unsupervised learning
- Reinforcement learning Simple Models –Linear regression
- Logistic regression
- Support Vector Machines (SVM) etc
Unit 4 Deep Learning
- Concept of Deep Learning Introduction to Neural Networks. Types of Deep Learning models. Deep leaning applications
Unit 5 Modern Artificial Intelligence
- Large Language Models (LLMs) Use-cases: ChatGPT
- Krutrim etc. Current Issuess & Future Challenges of AI
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