Artificial Intelligence for kids

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

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

How long do I have access to the course materials?

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!