Class 9th AI Artificial Intelligence Book – Full Video Course
This Course Covers The Following:
CBSE / NCERT Syllabus Based Topic Wise Explanation
Syllabus Overview of the Subject
Chapter wise Summary
NCERT Solutions
Full Chapter Videos
One Shot Revision
MCQs
Beginner0(0 Ratings)
0 Students enrolled
Created by Instructor Last updated Sat, 24-May-2025English
What will i learn?
Curriculum for this course
63 Lessons
62:43:23 Hours
Theory : Unit 1 - Introduction to AI
12 Lessons
06:17:15 Hours
1.1 Power & Definition of AI00:08:53
1.2 Domain of AI (Data Science)00:14:14
1.3 Domain of AI (Natural Language Processing)00:06:22
1.4 Computer Vision00:07:02
1.5 Applications of AI00:09:12
1.6 Smart Home & Smart Cities00:15:32
1.7 Sustainable Development Goals00:21:04
1.8 AI Solutions To Social Issues00:14:14
1.9 Career Opportunities in Artificial Intelligence00:27:01
1.10 Ethics of Artificial Intelligence00:39:57
1.11 Multiple Choice Questions00:55:07
1.12 Introduction to Artificial Intelligence - Complete Chapter in One Video02:38:37
Theory : Unit 2 - AI Project Cycle
14 Lessons
10:30:52 Hours
2.1 Overview00:36:43
2.2 Problem Scoping00:21:14
2.3 Problem Scoping: 4ws Problem Canvas00:25:56
2.4 AI Project Cycle - Data Acquisition: What is Data?00:34:55
2.5 Data Acquisition: Acquiring Data & System Maps00:50:09
2.6 Data Exploration: What is EDA? & Various Types of Graphs00:24:09
2.7 Data Exploration: Types of Graphs in Detail With Examples00:23:36
2.8 Modelling: AI Vs Machine Learning Vs Deep Learning00:24:29
2.9 AI Project Cycle - Modelling: Definition & Types00:23:38
2.10 AI Project Cycle - Decision Tree Definition & Example00:27:56
2.11 AI Project Cycle - Evaluation00:16:56
2.12 Multiple Choice Questions00:41:05
2.13 AI Project Cycle - Full Chapter Explanation (Part 1)02:35:41
2.14 AI Project Cycle - Full Chapter Explanation (Part 2)02:04:25
Theory : Unit 3 - Neural Networks
8 Lessons
05:28:38 Hours
3.1 Learning Based (Supervised & Unsupervised)00:19:25
3.2 Learning Based (Reinforcement Learning)00:36:48
3.3 Algorithms00:40:05
3.4 Neural Networks Introduction00:14:45
3.5 Human Nervous System00:15:38
3.6 Artificial Neural Networks00:26:32
3.7 Working of Artificial Neural Network00:18:38
3.8 Neural Networks - Complete Chapter in One Video02:36:47
Practical : Unit 4 - Introduction to Python
29 Lessons
40:26:38 Hours
4.1 Introduction to Python00:13:56
4.2 Need of Programming Language00:20:36
4.3 Python The High Level Language00:19:19
4.4 Python Interpreter00:17:21
4.5 IDE and Its installation00:37:26
4.6 Installing Python on Cell Phones00:14:19
4.7 Introduction to Python - Pip, Libraries, Packages, Modules00:32:00
4.8 Error Solution: python/pip not recognized as an internal..00:16:28
4.9 Introduction to Python - Jupyter Notebook (Practical)00:32:11
4.10 Introduction to Python - Anaconda (Practical)00:28:05
Write a public review