Learn Ai With 13+ Scratch Projects

Become An Ai Expert With Zero Coding Skills

4.7 (9 ratings)

Instructor: Techni By Edapt

Language: English

Validity Period: Lifetime

₹2999 33% OFF

₹1999

Description
Course Content
How to Use

Note:

The actual fee for the course is ₹5,999.

If you're only interested in the recorded classes, the fee is just ₹1,999.

✅ 10+ Live Classes with Expert Mentors
✅ 2-Month WhatsApp Group Support

To access all the above benefits, the full course fee must be paid.
For more information, click the WhatsApp button on the right side of your screen to connect with our Student Counsellor.

About Course:

This course is designed to introduce students to the world of Artificial Intelligence (AI) through hands-on projects created using Scratch, a visual programming language, and Machine Learning For Kids. With 13+ engaging projects, students will learn the basics of AI and gain practical experience in implementing AI concepts using Scratch. By the end of the course, students will have a solid foundation in AI and the ability to create their own AI-powered projects.

Key Highlights:

Learn AI concepts through hands-on projects
Master the basics of Scratch programming language
Build 13+ AI projects from scratch
Gain practical experience in implementing AI
Develop critical thinking and problem-solving skills
Lifetime access to course material
Certification of completion

Projects:

Project 1
Sorting Animal Pictures
Project 2
Playing Rock, Paper, Scissors With Computer
Project 3
Recognise Movie Poster
Project 4
Mail Sorting
Project 5
Insulting A Computer
Project 6
Recognizing Language In Newspaper
Project 7
Finding An Object In The Picture
Project 8
Smart Assistants
Project 9
Chatbots
Project 10
Avoiding The Monster
Project 11
Tic Tac Toe
Project 12
Confusing The Computer
Project 13
Biasing The Computer

Reviews

4.7

9 total


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4		3
3		0
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	Introduction (6:00)
	Introductiont To Scratch (2:00)
	Working with Scratch (9:00)
	Machine Learning For Kids (2:00)
	Coding and Programming (4:00)
	What is Artificial Intelligence (6:00)
	Introduction To Machine Learning (6:00)
	Neural Net and Deep Learning (6:00)
	How to create a new ML project (6:00)
		Phases of ML Project 10:00
	Project 1. Sorting Animal Pictures: Train, Learn and Test (10:00)
		Sorting Animal Pictures Part 2: Making using Scratch 29:00
		Sorting Animal Pictures Part 3: What you have learned 4:00
	Project 2: Rock, Paper, Scissors : Train Learn and Test (9:00)
		Rock, Paper, Scissors Part 2: Make with Scratch template 7:00
		Rock, Paper, Scissors Part 3: Review and Improve 3:00
	Project 3: Recognise Movie Poster: Train, Learn and Test (11:00)
		Recognise Movie Poster Part 2: Prepare using Scratch 29:00
		Recognise Movie Poster Part 3: Review and Improve 3:00
	Project 4: Mail Sorting: Training and Testing the Model (9:00)
		Mail Sorting Part 2: Scratch using template 8:00
		Mail Sorting Part 3: Reviewing and improving 3:00
	Project 5: Insulting a computer: Preparing game without ML (11:00)
		Insulting a computer: Training and Coding with ML 12:00
		Insulting a computer: Improving with speech Input 15:00
	Project 6: Recognizing Language in Newspapers: Intro + Training and Testing (15:00)
		Recognizing Language in Newspapers Part 2: Making using scratch 31:00
		Recognizing Language in Newspapers Part 3: Improving by measuring; Accuracy, confusion Matrix, Precision and recal 28:00
	Project 7: Finding and Object in the picture: Training the Model (12:00)
		Finding and Object in the picture Part 2: Preparing the scratch model 5:00
		Finding and Object in the picture Part 3: Testing and Improving 6:00
	Project 8: Smart assistants: Code and Train without ML (9:00)
		Smart assistants Part 2: Code with ML and Testing 10:00
		Smart assistants Part 3: Using Confidence score, Speech Input and collecting training data 10:00
	Project 9: Chatbots: Character Preparation, Training model (10:00)
		Chatbots Part 2: Preparing and Testing Project 10:00
		Chatbots Part 3: Responding to user reports, emotional recognition, Confident replies 14:00
	Project 10: Avoiding the Monster: Description of State of game, Training (16:00)
		Avoiding the Monster Part 2: The game 7:00
		Avoiding the Monster Part 3: Review and Improve 6:00
	Project 11: Tic Tac Toe Part 1: Preparing the game (18:00)
		Tic Tac Toe Part 2: Training and Testing the game 8:00
		Tic Tac Toe Part 3: Review and Improve 5:00
	Project 12: Confusing the computer Part 1: Training the model (12:00)
		Confusing the computer Part 2: Preparing and Testing the Project 7:00
		Confusing the computer Part 3: Review and improve the Project 5:00
	Project 13: Biasing the computer Part 1: Training model and Preparing project (10:00)
		Biasing the computer Part 2: Testing the project, Introducing bias and Testing biased project 11:00

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Learn Ai With 13+ Scratch Projects

₹1999