Artificial Intelligence for kids

Artificial Intelligence for kids, available at $64.99, has an average rating of 4.28, with 65 lectures, 22 quizzes, based on 117 reviews, and has 387 subscribers.

You will learn about Define and understand the meaning of AI and machine learning and explore their applications Explore the different types and techniques in AI Explore Machine Learning and how it works Differentiate between various Machine Learning types Implement different Machine Learning Algorithms Develop Machine Learning programs in various areas. This course is ideal for individuals who are Passionate kids who are interested in learning AI or kids and beginners who want to learn more about AI or Anyone new to AI who doesnt know where to start It is particularly useful for Passionate kids who are interested in learning AI or kids and beginners who want to learn more about AI or Anyone new to AI who doesnt know where to start.

Enroll now: Artificial Intelligence for kids

Summary

Title: Artificial Intelligence for kids

Price: $64.99

Average Rating: 4.28

Number of Lectures: 65

Number of Quizzes: 22

Number of Published Lectures: 65

Number of Published Quizzes: 22

Number of Curriculum Items: 87

Number of Published Curriculum Objects: 87

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Define and understand the meaning of AI and machine learning and explore their applications

Explore the different types and techniques in AI

Explore Machine Learning and how it works

Differentiate between various Machine Learning types

Implement different Machine Learning Algorithms

Develop Machine Learning programs in various areas.

Who Should Attend

Passionate kids who are interested in learning AI

kids and beginners who want to learn more about AI

Anyone new to AI who doesnt know where to start

Target Audiences

Passionate kids who are interested in learning AI

kids and beginners who want to learn more about AI

Anyone new to AI who doesnt know where to start

What is Artificial Intelligence? How does it impact our daily life? How to create Machine Learning models?. In this course, we will answer all of those questions and many more while teaching you how to implement simple ML models for the real world using Scratch!

Through this course you will develop your skills and knowledge in the following areas:

The concept of Artificial Intelligence, when and how it started.

The different types and techniques in AI

Explore Machine Learning and how it works

Differentiate between different Machine Learning types

Explore Machine Learning Algorithms

Develop Machine Learning programs in various areas

Build a variety of AI systems and models.

how Machine learning can be used to make software and machines more intelligent.

Differentiate between supervised learning and unsupervised learning

Differentiate between Classification and Regression

How chatbots are created

Detailed course outline:

Introduction to AI

– Overview on history and Fields of AI:
– Explore AI activities and games
– Programming and AI
– What is programming
– Create and code a shooting game

Artificial Intelligence Applications

– Explore different AI applications
– Explore different AI branches
– Create and code an advanced shooting game

Introduction to Machine Learning

–  Overview of Machine Learning
–  Explore Ai game that uses Machine Learning
– Differentiating between Machine Learning models
– develop a smart game using machine learning algorithms with Scratch

Introduction to supervised learning

– Overview of supervised learning
– Explore an AI game that uses a supervised learning algorithm
– Differentiating between classification and regression
– create a smart classroom project using scratch

Introduction to Classification

– taking a look into Classification applications
– Explore AI  activity that uses classification
– Learn about confidence threshold
– Project: create a model that can differentiate between Cats, Dogs and Ducks

Text Classification

– Overview of Text classification
– Explore how chatbots are created
– learn about Sentiment Analysis
– Project: create a chatbot 

checkpoint

– summary of previous classes
– Take a mid-course quiz
– Project: sort different vegetables and fruits in the fridge based on their category

Introduction to datasets and regression

– What is data
– What is regression
– Explore a regression activity

Introduction to decision trees

– Overview of decision trees
– Explore decision trees applications
– Project: create a Tic Tac Toe game using the decision trees algorithm
– Inspect the Decision tree structure
– what is Pruning and why do we need it while applying decision trees
– Project: create a Pac-Man game using decision trees

AI activities

– Interact with different AI activities ( Music, Pac-Man,  POGO,.)

AI Applications and Course Summary

– Summary of the course

– Explore advanced ai applications
– End-of-course assessment
– Develop an advanced AI chatbot

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: AI Activity

Lecture 3: AI and Programming

Lecture 4: What is programming

Lecture 5: Class Project: Shooting game part 1

Lecture 6: Conclusion

Chapter 2: Artificial Intelligence

Lecture 1: AI applications

Lecture 2: Artificial Intelligence Branches

Lecture 3: Class Project: Shooting game part 2

Lecture 4: Conclusion

Chapter 3: Machine Learning

Lecture 1: Introduction to Machine Learning

Lecture 2: What is Machine Learning

Lecture 3: AI Activity-2

Lecture 4: Types of Machine Learning

Lecture 5: How to create a project in ML for kids

Lecture 6: Class Project: Rock Paper Scissors

Lecture 7: Conclusion

Chapter 4: Supervised Learning

Lecture 1: Introduction to Supervised learning

Lecture 2: What is Supervised Learning?

Lecture 3: AI Activity: Thing Translator

Lecture 4: Activity Explanation

Lecture 5: Classification vs Regression

Lecture 6: Class Project: Smart Classroom

Lecture 7: conclusion

Chapter 5: Classification

Lecture 1: Introduction to Classification

Lecture 2: Classification Applications

Lecture 3: AI Activity: Hand Track

Lecture 4: Activity Explanation

Lecture 5: Confidence Threshold

Lecture 6: Class Project: Cat, Dog and Duck

Lecture 7: Conclusion

Chapter 6: Chatbots

Lecture 1: Text Classification

Lecture 2: Activity: Mitsuku

Lecture 3: Sentiment Analysis

Lecture 4: Class Project: Chatbots

Lecture 5: Conclusion

Chapter 7: Checkpoint!

Lecture 1: Summary of Previous Classes

Lecture 2: Mid Course Project

Chapter 8: Datasets and Regression

Lecture 1: Introduction to datasets and regression

Lecture 2: What is Data?

Lecture 3: Regression

Lecture 4: Activity: Regression

Lecture 5: Conclusion

Chapter 9: Decision Trees

Lecture 1: Introduction to Decision Trees

Lecture 2: Whats a Decision tree?

Lecture 3: Decision Trees Applications

Lecture 4: Activity: Akinator

Lecture 5: Class Project: Tic Tac Toe

Lecture 6: Conclusion

Chapter 10: Decision Trees Continued

Lecture 1: Decision Tree Structure

Lecture 2: Activity: Decision Trees

Lecture 3: Pruning

Lecture 4: Class Project: Pac Man

Lecture 5: Conclusion

Chapter 11: AI Activities

Lecture 1: Introduction to AI activities

Lecture 2: Activity: AI Music

Lecture 3: Activity: POGO Kids!

Lecture 4: Activity: PacMan

Lecture 5: Project: Open Project

Lecture 6: Conclusion

Chapter 12: AI Applications and Course Summary

Lecture 1: Introduction

Lecture 2: Summary

Lecture 3: AI Applications

Lecture 4: Final Project: AI Chatbot

Lecture 5: Course Conclusion

Instructors

Fun Robotics Academy
Robotics and coding academy

Rating Distribution

1 stars: 8 votes

2 stars: 2 votes

3 stars: 15 votes

4 stars: 35 votes

5 stars: 58 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!