Artificial Intelligence for kids

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Fun Robotics Academy

1:36:35

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1 - Introduction

1 - Introduction.mp4

01:09

2 - AI Activity.mp4

00:31

3 - AI and Programming.mp4

00:14

4 - What is programming.mp4

01:01

5 - Class Project Shooting game part 1.mp4

09:36

6 - Conclusion.html

2 - Artificial Intelligence

7 - AI applications.mp4

01:33

8 - Artificial Intelligence Branches.mp4

02:15

9 - Class Project Shooting game part 2.mp4

04:12

10 - Conclusion.html

3 - Machine Learning

11 - Introduction to Machine Learning.mp4

00:33

12 - What is Machine Learning.mp4

01:32

13 - AI Activity2.mp4

01:20

13 - AI rock paper scissors game.txt

14 - Types of Machine Learning.mp4

02:24

15 - How to create a project in ML for kids.mp4

00:55

16 - Class Project Rock Paper Scissors.mp4

04:17

17 - Conclusion.html

4 - Supervised Learning

18 - Introduction to Supervised learning.mp4

00:26

19 - What is Supervised Learning.mp4

02:03

20 - AI Activity Thing Translator.mp4

01:18

20 - Thing translator.txt

21 - Activity Explanation.mp4

01:32

22 - Classification vs Regression.mp4

00:54

23 - Class Project Smart Classroom.mp4

05:53

24 - conclusion.html

5 - Classification

25 - Introduction to Classification.mp4

00:36

26 - Classification Applications.mp4

01:31

27 - AI Activity Hand Track.mp4

00:50

27 - Hand Track.txt

28 - Activity Explanation.mp4

00:25

29 - Confidence Threshold.mp4

01:13

30 - Class Project Cat Dog and Duck.mp4

04:34

31 - Conclusion.html

6 - Chatbots

32 - Text Classification.mp4

02:11

33 - Activity Mitsuku.mp4

01:02

33 - Mitsuku.txt

34 - Sentiment Analysis.mp4

01:59

35 - Class Project Chatbots.mp4

04:04

36 - Conclusion.html

7 - Checkpoint

37 - Summary of Previous Classes.mp4

01:46

38 - Mid Course Project.mp4

02:59

8 - Datasets and Regression

39 - Introduction to datasets and regression.mp4

00:29

40 - What is Data.mp4

02:48

41 - Regression.mp4

01:05

42 - Activity Regression.mp4

03:15

42 - Regression Activity.txt

43 - Conclusion.html

9 - Decision Trees

44 - Introduction to Decision Trees.mp4

00:38

45 - Whats a Decision tree.mp4

01:12

46 - Decision Trees Applications.mp4

01:08

47 - Activity Akinator.mp4

00:41

47 - Akinator Activity.txt

48 - Class Project Tic Tac Toe.mp4

04:51

49 - Conclusion.html

10 - Decision Trees Continued

50 - Decision Tree Structure.mp4

01:13

51 - Activity Decision Trees.mp4

00:55

51 - Decision Tree Activity.txt

52 - Pruning.mp4

01:52

53 - Class Project Pac Man.mp4

05:31

54 - Conclusion.html

11 - AI Activities

55 - Introduction to AI activities.mp4

00:23

56 - AI Music Activity.txt

56 - Activity AI Music.html

57 - Activity POGO Kids.html

57 - POGO AI Activity.txt

58 - AI PacMan.txt

58 - Activity PacMan.html

59 - Project Open Project.html

60 - Conclusion.html

12 - AI Applications and Course Summary

61 - Introduction.mp4

00:24

62 - Summary.mp4

01:53

63 - AI Applications.mp4

01:29

64 - Final Project AI Chatbot.html

65 - Course Conclusion.html

Description

Learn to build & code AI models using Scratch

What You'll 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 is this for?

Passionate kids who are interested in learning AI

kids and beginners who want to learn more about AI

Anyone new to AI who doesn't know where to start

What You Need to Know?

Basic scratch knowledge

More details

Description
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
-Â Overview of Machine Learning
-Â 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 AIÂ 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 chatbotÂ

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,Â POGO,....)

AI Applications and Course Summary
- Summary of the course
- Explore advanced ai applications
- End-of-course assessment
- Develop an advanced AI chatbot

Who this course is for:
Passionate kids who are interested in learning AI
kids and beginners who want to learn more about AI
Anyone new to AI who doesn't know where to start

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Artificial Intelligence

Fun Robotics Academy

Instructor's Courses

Fun Robotics academy is the leading STEM solution provider in Dubai. It aims at providing students and youngsters with the right skills to expedite their learning, with a focus on the latest tech and STEM-related fields. Students get to express their creativity, explore their potential and develop their life skills in order to coop with an ever-evolving world.

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