Academic Advisor - Prof. (Dr.) S.K. Yadav

M.Sc., M.Phil., M.Tech, Ph D., M.B.A, FIETE, MAeSI, MIIM, MAIMA, MIE(I), Former Director (Academic & Research), JJT university

Introduction

Welcome to the Artificial Intelligence (AI) online course! This comprehensive course covers the foundational concepts and advanced techniques in AI. We'll begin with an introduction to AI, exploring its history and significance. You'll learn about problem-solving using search methods, including both uninformed and informed search techniques. We'll delve into predicate and propositional logic, and first-order predicate logic, essential for understanding AI reasoning. The course also covers rule-based systems and other formalisms, probabilistic reasoning, and the application of fuzzy and rough sets. You'll explore natural language processing (NLP) to understand how AI interprets human language. Finally, we'll dive into artificial neural networks, the backbone of modern AI applications. Get ready to embark on an exciting journey into the world of AI.

What You Get in This Course?

1. Module-Wise Study Material: A structured approach to learning, with In-depth Study Materials provided for each module to understand the topic better in an easy format.
2. Video Tutorials: Module-wise video tutorials that explain each topic briefly through textual, pictorial and graphical with audio explanation representations to enhance your learning experience.
3. Important Questions with Answers: This section includes essential questions with their answers for each module to solidify the student’s knowledge.
4. Practice Interview Questions: After studying each module, check yourself with practice questions that will prepare you for job interviews & real-world scenarios.
5. Final Exam Quiz: A comprehensive quiz at the end of the course to test the student’s overall Study and Knowledge of the course
6. Course Completion Certificate: A Course Study Completion Certificate is awarded upon achieving at least 40% marks in the Final Exam Quiz.

What will you learn

• Introduction to Artificial Intelligence
• Problem Solving Using Search
• Uninformed and Informed Search
• Predicate and Propositional Logic
• First Order Predicate Logic
• Rule Based Systems and Other Formalism
• Probabilistic Reasoning
• Fuzzy and Rough Sets
• Natural Language Processing
• Artificial Neural Networks