Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 50 Minute(s)
Language
English
Taught by
Dr. R. Anto Arockia Rosaline, Dr.Devipriya Ananthavadivel
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Search Algorithms, Adversarial Search Problems, Knowledge Representation, Planning and Expert System
Embark on a thorough exploration of Artificial Intelligence (AI) in this meticulously designed course, suitable for both beginners and intermediate learners. Covering a diverse range of topics, it establishes a strong foundation in AI theory and algorithms while also delving into practical applications.
Commencing with an overview of AI and its techniques, participants will delve into problem-solving approaches, encompassing both theoretical concepts and real-world implementations. Dive into engaging toy problems like Tic-tac-toe and the Travelling Salesman Problem to gain hands-on problem-solving experience.
Detailed lectures will introduce participants to general search algorithms, both uninformed and informed search methods, and adversarial strategies using game theory, including the Mini Max Algorithm. Additionally, the course explores Constraint Satisfactory Problems (CSP) and the pivotal role of intelligent agents in decision-making processes.
Understanding knowledge representation is vital in AI, and this course provides comprehensive coverage. From foundational propositional and predicate logic to advanced techniques like knowledge representation using rules, semantic nets, and frames, participants will gain insight into how AI systems store and process information.
As the course progresses, participants will delve into uncertainty in knowledge and reasoning, explore machine learning algorithms, and grasp the fundamentals of expert systems. By course completion, participants will possess a firm understanding of AI theory and practical skills applicable to real-world scenarios.
Whether you're a student, professional, or enthusiast, this course empowers you with the knowledge and tools to navigate the dynamic field of Artificial Intelligence confidently. Join us on this educational journey and discover AI's potential to revolutionize industries and shape the future.
Course Content
- 5 section(s)
- 36 lecture(s)
- Section 1 Introduction to Artificial Intelligence
- Section 2 Basic Introduction to Data Structure and Search Algorithms
- Section 3 Adversarial Search Problems and Intelligent Agent
- Section 4 Knowledge Representation
- Section 5 Planning and Expert System
What You’ll Learn
- Formulate a problem in terms of navigating a state space and outline how a range of AI methodologies can be employed to reach a solution.
- Utilize relevant search methodologies to address a practical issue in the real world.
- Develop a range of gaming strategies aimed at solving practical adversarial search problems in real-world scenarios.
- Illustrate different knowledge representation methods for resolving intricate AI challenges.
- Create an expert system that employs advanced techniques in Artificial Intelligence.
Skills covered in this course
Reviews
-
AAtul Chauhan
excellent course and everything must be clear !!!
-
CChinmay Ghodake
it really could have been better..hope u update it with good video and audio quality
-
IInomusa Enock Mhlanga
yes it is very informative
-
NNishanthini M
good
