Fundamentals of Artificial Intelligence
A PG Diploma level course from MP Bhoj Open University covering AI fundamentals — problems, state space search, production systems, and real-world applications....
A PG Diploma level course from MP Bhoj Open University covering AI fundamentals — problems, state space search, production systems, and real-world applications....
This course covers Unit 1 of the Fundamentals of Artificial Intelligence syllabus for the PG Diploma in AI and Data Science programme at Madhya Pradesh Bhoj (Open) University, Bhopal.
You will learn how to formally define AI problems, explore state spaces using blind and heuristic search, understand production systems, classify problems using seven key questions, and connect these foundations to real-world AI applications.
Fundamentals of Artificial Intelligence - English
00:12:49Fundamentals of Artificial Intelligence - Hindi
00:14:27Unit Overview
Unit at a Glance
Topic 1 - What is Artificial Intelligence?
Topic 1 - What Makes a Method an AI Technique?
Topic 1 - Criteria for Success: The Turing Test
Topic 1 - Key Points
Topic 2 - Defining a Problem Formally
Topic 2 - The Water-Jug Problem
Topic 2 - Water-Jug: Solution Path
Topic 2 - Key Points
Topic 3 - State Space Search
Topic 3 - Blind vs Heuristic Search
Topic 3 - Judging a Search Strategy
Topic 3 - Key Points
Topic 4 - Anatomy of a Production System
Topic 4 - The Recognise-Act Cycle
Topic 4 - IF-THEN Rule Trace (Worked Example)
Topic 4 - Key Points
Topic 5 - Seven Questions to Ask About Any Problem
Topic 5 - Classifying the 8-Puzzle
Topic 5 - Key Points
Topic 6 - Four Classes of Production System
Topic 6 - Matching Problems to System Classes
Topic 6 - Key Points
Topic 7 - Where AI Works in the Real World
Topic 7 - Unit 1 Ideas Powering Real Applications
Topic 7 - Key Points
Unit 1 - Key Takeaways
Unit 1 Quiz - Fundamentals of AI (15 Questions)
0:30:0Basic understanding of computer science concepts
No prior AI knowledge required
Interest in problem solving and logical reasoning
Define Artificial Intelligence and identify the properties of an AI technique
Explain the Turing Test and its significance
Formally define a problem using state space, initial state, goal test and operators
Trace state space search step by step — both blind and heuristic
Describe the three components of a production system and trace the recognise-act cycle
Apply seven key questions to classify any problem
Distinguish between monotonic and commutative production systems
Connect AI foundations to real-world applications like chess engines, map apps and expert systems
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language
English
Duration
00h 57mLevel
beginner
Expiry period
Lifetime
Certificate
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English
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00h 57m
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