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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 AI 00:08:53
- 1.2 Domain of AI (Data Science) 00:14:14
- 1.3 Domain of AI (Natural Language Processing) 00:06:22
- 1.4 Computer Vision 00:07:02
- 1.5 Applications of AI 00:09:12
- 1.6 Smart Home & Smart Cities 00:15:32
- 1.7 Sustainable Development Goals 00:21:04
- 1.8 AI Solutions To Social Issues 00:14:14
- 1.9 Career Opportunities in Artificial Intelligence 00:27:01
- 1.10 Ethics of Artificial Intelligence 00:39:57
- 1.11 Multiple Choice Questions 00:55:07
- 1.12 Introduction to Artificial Intelligence - Complete Chapter in One Video 02:38:37
Theory : Unit 2 - AI Project Cycle
14 Lessons
10:30:52 Hours
- 2.1 Overview 00:36:43
- 2.2 Problem Scoping 00:21:14
- 2.3 Problem Scoping: 4ws Problem Canvas 00:25:56
- 2.4 AI Project Cycle - Data Acquisition: What is Data? 00:34:55
- 2.5 Data Acquisition: Acquiring Data & System Maps 00:50:09
- 2.6 Data Exploration: What is EDA? & Various Types of Graphs 00:24:09
- 2.7 Data Exploration: Types of Graphs in Detail With Examples 00:23:36
- 2.8 Modelling: AI Vs Machine Learning Vs Deep Learning 00:24:29
- 2.9 AI Project Cycle - Modelling: Definition & Types 00:23:38
- 2.10 AI Project Cycle - Decision Tree Definition & Example 00:27:56
- 2.11 AI Project Cycle - Evaluation 00:16:56
- 2.12 Multiple Choice Questions 00:41:05
- 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 Algorithms 00:40:05
- 3.4 Neural Networks Introduction 00:14:45
- 3.5 Human Nervous System 00:15:38
- 3.6 Artificial Neural Networks 00:26:32
- 3.7 Working of Artificial Neural Network 00:18:38
- 3.8 Neural Networks - Complete Chapter in One Video 02:36:47
Practical : Unit 4 - Introduction to Python
29 Lessons
40:26:38 Hours
- 4.1 Introduction to Python 00:13:56
- 4.2 Need of Programming Language 00:20:36
- 4.3 Python The High Level Language 00:19:19
- 4.4 Python Interpreter 00:17:21
- 4.5 IDE and Its installation 00:37:26
- 4.6 Installing Python on Cell Phones 00:14:19
- 4.7 Introduction to Python - Pip, Libraries, Packages, Modules 00:32:00
- 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
- 4.11 First Program & File Extensions 00:34:41
- 4.12 Python as a Calculator 00:19:22
- 4.13 Statements 00:34:07
- 4.14 Indentation & Comments in Python 00:31:51
- 4.15 Keywords & Identifiers 00:40:18
- 4.16 Variables & Constants 00:29:26
- 4.17 Literals 01:04:23
- 4.18 Introduction to Data Types 01:05:55
- 4.19 Type Conversions & Type Casting 01:36:42
- 4.20 Operators 01:08:20
- 4.21 Operators, Precedence & Associativity 00:44:00
- 4.22 Taking Input From Users 00:59:12
- 4.23 Print Function 00:55:53
- 4.24 Output Formatting 01:44:55
- 4.25 Escape Sequences 00:55:22
- 4.26 Conditionals 01:45:43
- 4.27 Iterations & Looping 02:07:48
- 4.28 Introduction to Python - Full Chapter Explanation (Part 1) 10:00:22
- 4.29 Introduction to Python - Full Chapter Explanation (Part 2) 09:16:37
Requirements
- Laptop
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Description
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
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