🎬 6th Sem · RTU
Artificial Intelligence
Video Lectures
41 free videos · 4.5 hours · Hindi · RTU syllabus
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4:401
Introduction to Artificial Intelligence | Artificial Intelligence Tutorial in Hindi | Lec-1
2:262
Components of Artificial Intelligence | Artificial Intelligence | Lec-2
4:313
Approaches of Artificial Intelligence | Types of AI | Lec-3
2:404
Problem Solving in Artificial Intelligence | Artificial Intelligence | Lec-4
4:135
Searching in Artificial Intelligence | Informed & Uninformed Search in AI | Lec-5
4:516
Breadth First Search Algorithm with example in AI | BFS Algorithm in AI | Lec-6
3:267
Depth First Search algorithm with example in AI | DFS Algorithm in Artificial intelligence | Lec-7
2:298
Depth Limited Search algorithm with example in AI | DLS Algorithm in AI | Lec-8
2:309
Uniform Cost Search algorithm with example in AI | UCS algorithm in AI | Lec-9
4:4110
Iterative Deepening Depth First Search algorithm in AI | IDDFS Algorithm in AI | Lec-10
2:2911
Bidirectional Search in Artificial Intelligence | AI | Lec-11
6:0812
Best First Search algorithm with example in AI | Artificial Intelligence | Lec-12
7:5513
A Star search algorithm with example in AI | A* search algorithm in Artificial Intelligence | Lec-13
4:5514
AO Star search algorithm with example in AI | AO* algorithm in Artificial Intelligence | Lec-14
2:4315
Hill Climbing Algorithm in AI | Artificial Intelligence | Lec-15
4:1416
Constraint Satisfaction Problem in AI | Artificial Intelligence | Lec-16
5:4817
Minimax Algorithm with example in artificial intelligence | (Eng-Hin) Lec-17
9:5618
Alpha Beta Pruning with Example in artificial intelligence (Eng-Hin) | Lec-18
7:3619
Water Jug Problem in artificial intelligence | (Eng-Hin) Lec-19
6:3820
8 Puzzle problem in artificial intelligence | N puzzle problem in AI | Lec-20
1:5921
Chess problem in artificial intelligence | Lec-21
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5:5022
Knowledge Base representation and reasoning, Types and approaches in AI | LEC-22
3:5623
Propositional logic in artificial intelligence | Lec-23
3:4724
First Order Logic in artificial intelligence | Lec-24
2:2225
Planning in artificial intelligence | AI for university exams | Lec-25
3:0226
Probabilistic Reasoning in artificial intelligence | Uncertainty | Lec-26
3:4627
Bayes' Theorem with an example in artificial intelligence | Lec-27
3:2828
Bayesian Network with an example in artificial intelligence | Lec-28
8:0029
Types of learning in artificial intelligence | Supervised, unsupervised and reinforcement learning
7:3630
Supervised learning in artificial intelligence | Regression and Classification in supervised learning
5:1431
Decision tree in artificial intelligence in hindi | Lec-31
5:4932
Support vector machine in artificial intelligence | Lec-32
5:3533
Unsupervised learning in artificial intelligence | Lec-33
3:3634
Reinforcement learning in artificial intelligence | Lec-34
3:4335
Artificial neural networks in artificial intelligence | Lec-35
6:0836
Natural language processing (NLP) in artificial intelligence | Issues in NLP | Lec-36
5:2237
Expert System in artificial intelligence | Lec-37
12:0138
RTU 6th sem AI SOLVED PAPER 2024 | part A | RTU SOLVED PAPERS
34:1639
RTU 6th sem AI SOLVED PAPER 2024 FULL EXPLANATION | RTU SOLVED PAPERS
32:3840
RTU 6th sem AI SOLVED PAPER 2023 Full Explanation | RTU SOLVED PAPERS
17:1141
RTU 6th sem AI SOLVED PAPER 2023 | part A | RTU SOLVED PAPERS
RTU Artificial Intelligence PYQ solution videos
9:30
RTU 6th sem AI Solved Paper 2025 Part A | RTU AI PYQ 2025 Solution
19:02
RTU 6th sem AI Solved Paper 2025 Part B,C | RTU AI PYQ 2025 Solution
12:01
RTU 6th sem AI SOLVED PAPER 2024 | part A | RTU SOLVED PAPERS
34:16
RTU 6th sem AI SOLVED PAPER 2024 FULL EXPLANATION | RTU SOLVED PAPERS
17:11
RTU 6th sem AI SOLVED PAPER 2023 | part A | RTU SOLVED PAPERS
32:38
RTU 6th sem AI SOLVED PAPER 2023 Full Explanation | RTU SOLVED PAPERS
About these Artificial Intelligence lectures
These Artificial Intelligence lectures are taught in Hindi by Er Sahil Ka Gyan for Rajasthan Technical University (RTU) B.Tech students in the 6th Sem. Watch them in order to cover the syllabus, then practise with the previous year question papers and check your answers against the PYQ solutions.