Artificial Intelligence
Comprehensive introduction to AI fundamentals including knowledge representation, reasoning, search algorithms, and intelligent agents.
About This Course
Artificial Intelligence is transforming how we interact with technology and solve complex problems. This course provides a solid foundation in AI principles, covering symbolic and statistical approaches to creating intelligent systems. You'll learn about knowledge representation, reasoning methods, search algorithms, and agent architectures. Through hands-on projects, you'll develop practical skills in designing and implementing AI systems that can understand, reason, and act intelligently.
What You'll Learn
Prerequisites
- Basic programming knowledge
- Discrete mathematics
- Algorithms fundamentals
Projects
Knowledge-Based System
Build an expert system for a specific domain using knowledge representation techniques
Intelligent Agent
Develop an agent that can navigate and solve problems in a complex environment
Ontology Design Project
Create an ontology for a real-world domain and demonstrate reasoning capabilities
Part of Program
AI & Machine Learning
This course is part of a comprehensive program designed to build expertise in AI & Machine Learning.
Course Information
This Course Includes:
- Video lectures by AI Twin professor
- Comprehensive course materials
- Interactive conversations with professor
- Module quizzes and assessments