Section 1 : Course Introduction

 		Lecture 1 Course Overview in Animation 2:23
Lecture 2 Why to join this course 1:27
Lecture 3 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 4 About Certification Pdf
Lecture 5 About Proctor Testing Pdf

Section 2 : Python Programming Tutorials

 		Lecture 6 Brief Python Introduction 2:10
Lecture 7 Set Up – Python IDLE and Google Colab 6:48
Lecture 8 Data Type, Variable and Keywords 10:23
Lecture 9 How to produce output and Print Statement in Python 3:34
Lecture 10 how to take input from User 3:41
Lecture 11 List, Tuple, Set, Dictionary 3:7
Lecture 12 List Operations in details 9:43
Lecture 13 Tuple Operations in details 6:6
Lecture 14 Set Operations in details 3:40
Lecture 15 Dictionary Operations in details 3:34
Lecture 16 String Operation in Python 8:2
Lecture 17 Types of Operators 8:13
Lecture 18 Data Type Conversion 11:11
Lecture 19 Math library 4:6
Lecture 20 Importance of Indentation 6:21
Lecture 21 Sequential, Selection, Repetition 11:18
Lecture 22 Collections Module 9:48
Lecture 23 Queue Module 4:27
Lecture 24 Generation of Random Number and Range Functions 7:15
Lecture 25 isinstance, Use of format, Timeit(), round(), Slice and abs() 6:50
Lecture 26 Datetime and Calendar Module 5:18
Lecture 27 Exception Handling in Python 8:23
Lecture 28 Iterator 5:26
Lecture 29 Generator and Decorators 9:16
Lecture 30 Lambda, Map, Filter and Reduce Function 8:37
Lecture 31 Python CSV file Operations 7:11
Lecture 32 Zip Function 2:28
Lecture 33 eval(),exec(),repr() function 4:50
Lecture 34 List Comprehension, Sets, Frozensets and Assertion 8:55
Lecture 35 Logging Module 2:53
Lecture 36 Regular Expression 4:48
Lecture 37 Ternary Operator 3:58
Lecture 38 Create, Edit, Write, Read Text File
Lecture 39 User Define Functions and inbuilt Function 6:43
Lecture 40 Global and local Variables in Functions 2:44
Lecture 41 Switch Case 2:46
Lecture 42 Python Crash Course 38:31

Section 3 : Numpy Library

 		Lecture 43 Numpy Library Tutorial 1
Lecture 44 Numpy Library Tutorial 2 11:32
Lecture 45 Numpy Library Tutorial 3 13:58
Lecture 46 Numpy Library Tutorial 4 7:55
Lecture 47 Numpy Library Tutorial 5 4:45
Lecture 48 Numpy Library Tutorial 6 2:53
Lecture 49 Numpy Library Tutorial 7 3:16
Lecture 50 Numpy Office Website 2:28

Section 4 : Machine Learning

 		Lecture 51 What is Training, Testing and Model Evolution in Machine Learning 6:38
Lecture 52 Supervise Machine Learning 3:31
Lecture 53 Unsupervised Machine Learning 4:16
Lecture 54 Reinforcement Machine Learning 2:28

Section 5 : Unmanned Ground Vehicle Working Flowchart

 		Lecture 55 Introduction of Artificial Intelligence AI 4:23
Lecture 56 Introduction of Unmanned Ground Vehicle 2:51
Lecture 57 Forward Path and Return Path for UGV

Section 6 : Artificial Intelligence for Unmanned Ground Vehicle

 		Lecture 58 AI Design Part 1 Unmanned Ground Vehicle Path Finding 13:49
Lecture 59 AI Design Part 2 Bellman Equation 8:58
Lecture 60 AI Design Part 3 Markov Decision Tree 13:33
Lecture 61 AI Design Part 4 Q Learning 9:0
Lecture 62 AI for Part 5 Code for Displaying Path 7:2
Lecture 63 AI for Part 6 Explanation of Code 3:49

Section 7 : Speech Recognition and Natural Language Processing

 		Lecture 64 Need of NLP and Speech Recognition for UGV 1:18
Lecture 65 Voice is Future of User Interface
Lecture 66 Set up Environment 4:10
Lecture 67 Speech to Text 4:35
Lecture 68 Speech to Test output 1:48
Lecture 69 Text to Speech 2:5
Lecture 70 Text to Speech Output 0:48
Lecture 71 Speech Recognition in Python using Google Speech API 4:59
Lecture 72 Restart your Computer with Speech Recognition
Lecture 73 Today’s Day using Speech Recognition 6:0
Lecture 74 Convert image to text and text to speech 6:57
Lecture 75 Difference Between Speech Recognition and Natural Language Processing 2:14
Lecture 76 NLP Tutorial 4:58