Mô tả

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




Bạn sẽ học được gì

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.

Yêu cầu

  • Basic scratch knowledge

Nội dung khoá học

12 sections

Introduction

7 lectures
Introduction
01:09
Quick Quiz
2 questions
AI Activity
00:31
AI and Programming
00:14
What is programming
01:01
Class Project: Shooting game part 1
09:36
Conclusion
00:10

Artificial Intelligence

5 lectures
AI applications
01:33
Artificial Intelligence Branches
02:15
Quick Quiz
3 questions
Class Project: Shooting game part 2
04:12
Conclusion
00:24

Machine Learning

9 lectures
Introduction to Machine Learning
00:33
What is Machine Learning
01:32
Quick Quiz
3 questions
AI Activity-2
01:20
Types of Machine Learning
02:24
Quick Quiz
4 questions
How to create a project in ML for kids
00:55
Class Project: Rock Paper Scissors
04:17
Conclusion
00:08

Supervised Learning

10 lectures
Introduction to Supervised learning
00:26
What is Supervised Learning?
02:03
Quick Quiz
4 questions
AI Activity: Thing Translator
01:18
Activity Explanation
01:32
Classification vs Regression
00:54
Quick Quiz
4 questions
Class Project: Smart Classroom
05:53
Class Quiz
4 questions
conclusion
00:10

Classification

10 lectures
Introduction to Classification
00:36
Classification Applications
01:31
Quick Quiz
3 questions
AI Activity: Hand Track
00:50
Activity Explanation
00:25
Confidence Threshold
01:13
Quick Quiz
4 questions
Class Project: Cat, Dog and Duck
04:34
Class Quiz
4 questions
Conclusion
00:09

Chatbots

8 lectures
Text Classification
02:11
Quick Quiz
3 questions
Activity: Mitsuku
01:02
Sentiment Analysis
01:59
Quick Quiz
3 questions
Class Project: Chatbots
04:04
Class Quiz
4 questions
Conclusion
00:17

Checkpoint!

3 lectures
Summary of Previous Classes
01:46
Mid Course Assessment
20 questions
Mid Course Project
02:59

Datasets and Regression

8 lectures
Introduction to datasets and regression
00:29
What is Data?
02:48
Quick Quiz
4 questions
Regression
01:05
Activity: Regression
03:15
Quick Quiz
3 questions
Conclusion
00:17
Class quiz
4 questions

Decision Trees

7 lectures
Introduction to Decision Trees
00:38
What's a Decision tree?
01:12
Quick Quiz
2 questions
Decision Trees Applications
01:08
Activity: Akinator
00:41
Class Project: Tic Tac Toe
04:51
Conclusion
00:08

Decision Trees Continued

8 lectures
Decision Tree Structure
01:13
Quick Quiz
3 questions
Activity: Decision Trees
00:55
Pruning
01:52
Quick Quiz
4 questions
Class Project: Pac Man
05:31
Class Quiz
3 questions
Conclusion
00:17

AI Activities

6 lectures
Introduction to AI activities
00:23
Activity: AI Music
00:00
Activity: POGO Kids!
00:11
Activity: PacMan
Processing..
Project: Open Project
00:22
Conclusion
00:05

AI Applications and Course Summary

6 lectures
Introduction
00:24
Summary
01:53
AI Applications
01:29
End of Course Assessment
25 questions
Final Project: AI Chatbot
00:20
Course Conclusion
00:20

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