• views: 168
• date: 17 July 2026
• posted by: voska89

infer knowledge in problem formulation with AI
exemplify the uninformed and informed search technique procedures for real world problems
understand the adversarial search methods, constraint satisfaction problems and intelligent agents
demonstrate various knowledge representation techniques

Requirements

Nil

Description

This course provides a comprehensive introduction to the fundamental concepts, techniques, and applications of Artificial Intelligence (AI). It is designed to equip learners with the knowledge required to formulate problems, represent knowledge, and develop intelligent solutions for real-world challenges. The course begins with an overview of AI, its techniques, models, learning aspects, and problem-solving methodologies. Students will explore state-space representation and solve classical AI problems such as Tic-Tac-Toe, Missionaries and Cannibals, and the Travelling Salesman Problem. The course introduces essential data structures, including stacks, queues, trees, and graphs, which serve as foundations for implementing search algorithms. Learners will study uninformed and informed search techniques such as Breadth-First Search, Depth-First Search, Uniform Cost Search, Best-First Search, and A* algorithms. Further, the course examines adversarial search methods, game-playing strategies, constraint satisfaction problems, and intelligent agents, emphasizing rational decision-making and agent environments. Knowledge representation techniques, including propositional logic, predicate logic, semantic networks, frames, and reasoning mechanisms, are covered to enable effective modeling of intelligent systems. Students will also gain insights into planning methods, machine learning fundamentals, and the architecture of expert systems. Through theoretical concepts, practical problem-solving approaches, and case studies, learners will develop the ability to analyze, design, and implement AI-based solutions. Upon successful completion, students will be capable of applying AI techniques to solve complex problems, representing knowledge effectively, designing intelligent agents, and developing expert systems that support decision-making across diverse domains. The course also fosters analytical thinking, computational reasoning, and lifelong learning skills essential for emerging AI technologies and future innovations.

Who this course is for

Beginners




   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.