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कृत्रिम बुद्धिमत्ता

Track :

Artificial Intelligence
Course Presenter :

Magnet Brains

Lessons no : 31

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What will you learn in this course?
  • Develop and implement machine learning models using Python and popular AI frameworks like TensorFlow and PyTorch
  • Analyze and preprocess data effectively for AI applications in healthcare, finance, and e-commerce sectors
  • Design neural networks and deep learning architectures to solve complex real-world problems
  • Apply natural language processing and computer vision techniques to develop intelligent, automated solutions

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Lessons | 31
AI Reflection Project Cycle and Ethics Unit Overview Class 9 AI Unit 1 CODE 417 Part B
00:05:55

AI Reflection Project Cycle and Ethics Unit Overview Class 9 AI Unit 1 CODE 417 Part B
Introduction to AI Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:28:15

Introduction to AI Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
Introduction to AI Project Cycle Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:16:36

Introduction to AI Project Cycle Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
Problem Scoping Set Goals Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:08:05

Problem Scoping Set Goals Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
Identify Stakeholders Actions Ethical Issues Class 9 AI Unit 1 CODE 417 Part B CBSE 2025
00:18:48

Identify Stakeholders Actions Ethical Issues Class 9 AI Unit 1 CODE 417 Part B CBSE 2025
Problem Scoping Data and Analysis Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:20:15

Problem Scoping Data and Analysis Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
Data Acquisition Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:19:27

Data Acquisition Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
Data Exploration Visualization Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:15:14

Data Exploration Visualization Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
Modelling Evaluation and Deployment Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:16:59

Modelling Evaluation and Deployment Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
AI Ethics Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:23:04

AI Ethics Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
Assertion and Reasoning Questions Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
00:10:30

Assertion and Reasoning Questions Class 9 AI Unit 1 CODE 417 Part B CBSE 2025 26
Data Literacy Unit Overview Class 9 AI Unit 2 CODE 417 Part B CBSE 2025 26
00:02:24

Data Literacy Unit Overview Class 9 AI Unit 2 CODE 417 Part B CBSE 2025 26
Basics of Data Literacy Data Literacy Class 9 AI Unit 2 CODE 417 Part B CBSE 2025 26
00:19:56

Basics of Data Literacy Data Literacy Class 9 AI Unit 2 CODE 417 Part B CBSE 2025 26
Acquiring Processing Interpretating Data Data Literacy Class 9 AI Unit 2 CODE 417 Part B
00:20:11

Acquiring Processing Interpretating Data Data Literacy Class 9 AI Unit 2 CODE 417 Part B
Project Interactive Data Dashboard Presentation Class 9 AI Unit 2 CODE 417 Part B CBSE
00:06:14

Project Interactive Data Dashboard Presentation Class 9 AI Unit 2 CODE 417 Part B CBSE
Data Literacy Assertion and Reasoning Questions Class 9 AI Unit 2 CODE 417 Part B CBSE
00:10:23

Data Literacy Assertion and Reasoning Questions Class 9 AI Unit 2 CODE 417 Part B CBSE
Math for AI Statistics Probability Unit Overview Class 9 AI Unit 3 CODE 417 Part B CBSE
00:02:22

Math for AI Statistics Probability Unit Overview Class 9 AI Unit 3 CODE 417 Part B CBSE
Importance of Maths for AI Class 9 AI Unit 3 CODE 417 Part B CBSE 2025 26
00:20:28

Importance of Maths for AI Class 9 AI Unit 3 CODE 417 Part B CBSE 2025 26
Statistics in Real Life Math for AI Statistics Probability Class 9 AI Unit 3 CODE 417 Part B
00:20:13

Statistics in Real Life Math for AI Statistics Probability Class 9 AI Unit 3 CODE 417 Part B
Probability in Real Life Math for AI Statistics Probability Class 9 AI Unit 3 CODE 417 Part B
00:20:22

Probability in Real Life Math for AI Statistics Probability Class 9 AI Unit 3 CODE 417 Part B
Math for AI Statistics Probability Assertion Reasoning Questions Class 9 AI Unit 3 Part B
00:06:23

Math for AI Statistics Probability Assertion Reasoning Questions Class 9 AI Unit 3 Part B
Introduction to Generative Unit Overview Class 9 AI Unit 4 CODE 417 Part B CBSE 2025 26
00:02:00

Introduction to Generative Unit Overview Class 9 AI Unit 4 CODE 417 Part B CBSE 2025 26
Introducing Generative AI World Introduction to Generative Class 9 AI Unit 4 CODE 417 Part B
00:05:03

Introducing Generative AI World Introduction to Generative Class 9 AI Unit 4 CODE 417 Part B
Introduction to Generative AI Introduction to Generative Class 9 AI Unit 4 CODE 417 Part B
00:20:35

Introduction to Generative AI Introduction to Generative Class 9 AI Unit 4 CODE 417 Part B
Introduction to Generative Assetion Reasoning Questions Class 9 AI Unit 4 CODE 417 Part B
00:07:34

Introduction to Generative Assetion Reasoning Questions Class 9 AI Unit 4 CODE 417 Part B
Introduction to Python Unit Overview Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
00:02:30

Introduction to Python Unit Overview Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
Introduction to Programming Introduction to Python Class 9 AI Unit 5 CODE 417 Part B CBSE
00:05:34

Introduction to Programming Introduction to Python Class 9 AI Unit 5 CODE 417 Part B CBSE
Introduction to Python Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
00:11:57

Introduction to Python Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
Python Basics Introduction to Python Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
00:24:23

Python Basics Introduction to Python Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
Lists Introduction Introduction to Python Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
00:08:39

Lists Introduction Introduction to Python Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
Introduction to Python Practical Questions Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26
00:15:20

Introduction to Python Practical Questions Class 9 AI Unit 5 CODE 417 Part B CBSE 2025 26


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कृत्रिम बुद्धिमत्ता, कृत्रिम बुद्धिमत्ता (AI) कोर्स विद्यार्थियों को मशीनों को सोचने, सीखने और निर्णय लेने योग्य बनाने की मूलभूत और उन्नत तकनीकें सिखाता है। इस कोर्स में मशीन लर्निंग, डीप लर्निंग, डेटा विश्लेषण, न्यूरल नेटवर्क, प्राकृतिक भाषा प्रसंस्करण और कंप्यूटर विज़न जैसे प्रमुख विषय शामिल हैं। छात्र वास्तविक-जीवन परियोजनाओं के माध्यम से मॉडल बनाना, डेटा तैयार करना और एल्गोरिदम का उपयोग करके स्मार्ट समाधान विकसित करना सीखते हैं। कोर्स आधुनिक उद्योगों—जैसे स्वास्थ्य, वित्त, शिक्षा, ई-कॉमर्स और ऑटोमेशन—में AI के उपयोग को भी समझाता है। यह शुरुआत करने वालों और तकनीकी पृष्ठभूमि वाले दोनों के लिए उपयुक्त है, और उन्हें भविष्य की डिजिटल दुनिया में उत्कृष्ट अवसरों के लिए तैयार करता है। Magnet Brains