Search Strategies: A Star Search & Artificial Intelligence 

Search Strategies: A Star, BFS & DFS Search, and Normal Forms

Problems and Search

Knowledge Representation: Introduction and its Techniques

Knowledge Representation Techniques

Knowledge Representation

Types of Agents, Multi-Agent System & Deep Learning

Multi Agent Systems

Fuzzy Sets: Examples, Operations & Properties

Fuzzy Cartesian Product: Examples, Compositions & Law of Excluded

Fuzzy Set Theory 

Fuzzy Sets

AI: Knowledge Representation, Genetic Algorithms & PYQs

Genetic Algorithms (GA)

Artificial Neural Network, Adaptive Resonance Theory & Genetic Algorithms

Artificial Neural Networks (ANN)

Artificial Intelligence (AI)

Computer Science & Application

Prepare for UGC NET 2019 by watching our free online lessons covering UGC Net syllabus and also helping you solve Previous year question papers. Pursue your dream of JRF.

NTA-UGC-NET & SET Exams

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Test Preparation

In this course, Priyanka Chatterjee will discuss Artificial Intelligence. This course would be helpful for aspirants preparing for the NTA UGC NET/JRF exam. Learners at any stage of their preparations will be benefited by the course. The course will be covered in English and notes will be provided in English.

Complete Course on CS - Unit X: Artificial Intelligence

In this course, Priyanka Chatterjee will cover all topics of Computer Science through PYQs & MCQs. All the topics will be discussed in detail and would be helpful for all aspirants preparing for the NTA-UGC-NET & SET Exams. Learners at any stage of their preparation would be benefited from the course. The course will be taught in English and notes will be provided in English. The course will be completed approximately in 80 days, comprising 60 classes with a duration of 90 minutes each.

Crash Course on Computer Science with MCQs - UGC NET 2023

In this course, Nisha Mittal will cover Computer Science. All the important topics will be discussed in detail and would be helpful for the aspirants preparing for NTA UGC NET exam. Learners at any stage of their preparations will benefit from the course. The course will be covered in Hindi and notes will be provided in English.

Complete Course on Unit 10 - Artificial Intelligence (AI)

Complete course on Fuzzy Logic - UGC NET June 2024

In this course, Priyanka Chatterjee will cover important topics of Computer Science. All the topics will be discussed in detail and would be helpful for all aspirants preparing for the NTA-UGC-NET & SET Exams. Learners at any stage of their preparation would be benefited from the course. The course will be taught in English and notes will be provided in English.

Complete Course on Computer Science - NET/JRF Dec 2022

COmplete Course on Artificial Intelligence (AI) - UGC NET June 2024

In this course, Nisha Mittal will guide about 'NTA NET Computer Science important Topic'. This session would be helpful for aspirants preparing for the NTA NET Computer Science exam. Learners at any stage of their preparations will be benefited from the class. The class will be covered in Hindi and notes will be provided in English.

Foundation Course on Computer Science - UGC NET Dec 2023

In this course, Nisha Mittal will cover Computer Science MCQs. All the important topics will be discussed in detail and would be helpful for the aspirants preparing for NTA UGC NET exam. Learners at any stage of their preparations will benefit from the course. The course will be completed in approximately 2 months, comprising 53 classes with a duration of 60 minutes each. The course will be covered in Hindi and notes will be provided in English.

Crash Course on Computer Science (Unit 1, 2, 4, 9 & 10) with MCQs - NTA UGC NET

In this course, Priyanka Chatterjee will cover all PYQs of Computer Science. All the questions will be discussed in detail and would be helpful for all aspirants preparing for the NTA-UGC-NET & SET Exams. Learners at any stage of their preparation would be benefited from the course. The course will be taught in English and notes will be provided in English. The course will be completed approximately in 30 days, comprising 25 classes with a duration of 60 minutes each.

Artificial Intelligence (AI)

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Problems and Search

Knowledge Representation

Multi Agent Systems

Fuzzy Sets

Genetic Algorithms (GA)

Artificial Neural Networks (ANN)

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