Modules / Lectures
Module NameDownload


Sl.No Chapter Name MP4 Download
1Introduction: What to Expect from AIDownload
2Introduction: History of AI from 40s - 90sDownload
3Introduction: History of AI in the 90sDownload
4Introduction: History of AI in NASA & DARPA(2000s)Download
5Introduction: The Present State of AIDownload
6Introduction: Definition of AI Dictionary MeaningDownload
7Introduction: Definition of AI Thinking VS Acting and Humanly VS RationallyDownload
8Introduction: Definition of AI Rational Agent View of AIDownload
9Introduction: Examples Tasks, Phases of AI & Course PlanDownload
10Uniform Search: Notion of a StateDownload
11Uniformed Search: Search Problem and Examples Part-2Download
12Uniformed Search: Basic Search Strategies Part-3Download
13Uniformed Search: Iterative Deepening DFS Part-4Download
14Uniformed Search: Bidirectional Search Part-5Download
15Informed Search: Best First Search Part-1Download
16Informed Search: Greedy Best First Search and A* Search Part-2Download
17Informed Search: Analysis of A* Algorithm Part-3Download
18Informed Search Proof of optimality of A* Part-4Download
19Informed Search: Iterative Deepening A* and Depth First Branch & Bound Part-5Download
20Informed Search: Admissible Heuristics and Domain Relaxation Part-6Download
21Informed Search: Pattern Database Heuristics Part-7Download
22Local Search: Satisfaction Vs Optimization Part-1Download
23Local Search: The Example of N-Queens Part-2Download
24Local Search: Hill Climbing Part-3Download
25Local Search: Drawbacks of Hill Climbing Part-4Download
26Local Search: of Hill Climbing With random Walk & Random Restart Part-5Download
27Local Search: Hill Climbing With Simulated Anealing Part-6Download
28Local Search: Local Beam Search and Genetic Algorithms Part-7Download
29Adversarial Search : Minimax Algorithm for two player gamesDownload
30Adversarial Search : An Example of Minimax SearchDownload
31Adversarial Search : Alpha Beta PruningDownload
32Adversarial Search : Analysis of Alpha Beta PruningDownload
33Adversarial Search : Analysis of Alpha Beta Pruning (contd...)Download
34Adversarial Search : Horizon Effect, Game Databases & Other IdeasDownload

Sl.No Chapter Name English
1Introduction: What to Expect from AIPDF unavailable
2Introduction: History of AI from 40s - 90sPDF unavailable
3Introduction: History of AI in the 90sPDF unavailable
4Introduction: History of AI in NASA & DARPA(2000s)PDF unavailable
5Introduction: The Present State of AIPDF unavailable
6Introduction: Definition of AI Dictionary MeaningPDF unavailable
7Introduction: Definition of AI Thinking VS Acting and Humanly VS RationallyPDF unavailable
8Introduction: Definition of AI Rational Agent View of AIPDF unavailable
9Introduction: Examples Tasks, Phases of AI & Course PlanPDF unavailable
10Uniform Search: Notion of a StatePDF unavailable
11Uniformed Search: Search Problem and Examples Part-2PDF unavailable
12Uniformed Search: Basic Search Strategies Part-3PDF unavailable
13Uniformed Search: Iterative Deepening DFS Part-4PDF unavailable
14Uniformed Search: Bidirectional Search Part-5PDF unavailable
15Informed Search: Best First Search Part-1PDF unavailable
16Informed Search: Greedy Best First Search and A* Search Part-2PDF unavailable
17Informed Search: Analysis of A* Algorithm Part-3PDF unavailable
18Informed Search Proof of optimality of A* Part-4PDF unavailable
19Informed Search: Iterative Deepening A* and Depth First Branch & Bound Part-5PDF unavailable
20Informed Search: Admissible Heuristics and Domain Relaxation Part-6PDF unavailable
21Informed Search: Pattern Database Heuristics Part-7PDF unavailable
22Local Search: Satisfaction Vs Optimization Part-1PDF unavailable
23Local Search: The Example of N-Queens Part-2PDF unavailable
24Local Search: Hill Climbing Part-3PDF unavailable
25Local Search: Drawbacks of Hill Climbing Part-4PDF unavailable
26Local Search: of Hill Climbing With random Walk & Random Restart Part-5PDF unavailable
27Local Search: Hill Climbing With Simulated Anealing Part-6PDF unavailable
28Local Search: Local Beam Search and Genetic Algorithms Part-7PDF unavailable
29Adversarial Search : Minimax Algorithm for two player gamesPDF unavailable
30Adversarial Search : An Example of Minimax SearchPDF unavailable
31Adversarial Search : Alpha Beta PruningPDF unavailable
32Adversarial Search : Analysis of Alpha Beta PruningPDF unavailable
33Adversarial Search : Analysis of Alpha Beta Pruning (contd...)PDF unavailable
34Adversarial Search : Horizon Effect, Game Databases & Other IdeasPDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available