Udemy

Artificial Intelligence for kids

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  • 678 Students
  • Updated 9/2022
4.4
(235 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 39 Minute(s)
Language
English
Taught by
Fun Robotics Academy
Rating
4.4
(235 Ratings)

Course Overview

Artificial Intelligence for kids

Learn to build & code AI models using Scratch

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 Content

  • 10 section(s)
  • 65 lecture(s)
  • Section 1 Introduction
  • Section 2 Artificial Intelligence
  • Section 3 Machine Learning
  • Section 4 Supervised Learning
  • Section 5 Classification
  • Section 6 Chatbots
  • Section 7 Checkpoint!
  • Section 8 Datasets and Regression
  • Section 9 Decision Trees
  • Section 10 Decision Trees Continued

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.


Reviews

  • A
    Aliaksandra Krasko
    5.0

    Fantastic!

  • A
    Abhishek Garg
    5.0

    It tells you everything you need to know about AI

  • K
    Kitan Momodu
    4.0

    It was very fun. I learnt a lot and i hope to do it again next summer

  • M
    Marek Jan Zawadzki
    5.0

    Great introduction into AI models. Adding some Scratch examples was a good idea.

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