Week 1
Lesson 1
 Introduction to AI and Machine Learning
Students will be introduced to the concept of artificial intelligence.
Topics covered:
○	What is AI?
○	History of AI
○	Examples of AI
○	How do machines learn?
○	Creating image recognition machine learning models
Project: Build a machine learning model to detect whether you play rock, paper, or scissors using image recognition. 
Lesson 2
Pet Commands with voice recognition
Students will learn to create data-based machine learning models using voice recognition to command animated pets in Scratch.
Topics covered:
○	Creating sound recognition machine learning models
○	Recording voice clips for training data
○	Using Scratch to listen for voice commands
Project: Make an animated pet follow verbal commands and do tricks using a sound recognition machine learning model.
Lesson 3
 Smart Light
Students will learn to create and apply text recognition machine learning models, and compare machine learning solutions with rule-based solutions.
Topics covered:
○	Creating rule-based text matching models
○	Creating data-based machine learning models
○	Comparison of rule-based and data-based solutions
○	Discussion of applications of machine learning for smart home devices
Project: Create a smart light in Scratch that turns on when a command is given using a text recognition model.
Lesson 4
Emotion Recognition
Students create models that can recognize emotions of faces using image recognition. 
Topics covered:
○	Creating image recognition models
○	Represent confidence of prediction visually in Scratch
○	Understand the importance of quality training data 
Project: Train an image recognition machine learning model to recognize emotions in drawings of faces and use Scratch to display the confidence of results.
Lesson 5
Ask an Animal
Students will create an animal chatbot that answers questions about a topic they choose.
Topics covered:
○	Creating rule-based text matching models
○	Creating data-based machine learning models
○	Comparison of rule-based and data-based solutions
○	Creating chatbots that respond to natural speech
Project: Create an animal chatbot that responds intelligently by using text recognition machine learning to understand the question that was asked.
 Week 2
Lesson 6
Riddle Master
Students create a game in which you have to respond correctly to riddles to progress and use sound recognition to detect correct answers.
Topics covered:
○	Creating sound recognition machine learning models
○	Recording voice clips for training data
○	Using Scratch to listen for only one answer at a time in a series of questions
Project: Create a puzzle game that requires you to answer a series of riddles correctly and in the right order in order to reach the treasure.
Lesson 7
How Are You Doing
Students learn how to do basic sentiment analysis, and compare rule-based methods with data-based methods of recognizing emotions in text.
Topics covered:
○	Creating rule-based text matching models
○	Creating data-based machine learning models
○	Comparison of rule-based and data-based solutions
○	Creating characters that respond to emotions in natural speech
Project: Create a character in Scratch that understands how you are feeling based on input text and displays the same emotion.
Lesson 8
Maze Game
Students will compete to “train” a mouse to finish a maze the fastest using only voice commands and sound recognition machine learning models in Scratch.
Topics covered:
○	Creating sound recognition machine learning models
○	Recording voice clips for training data
○	Using Scratch to listen for one of several commands, and complete the action before moving on
○	Optimizing the performance of a machine learning model
Lesson 9
Face Unlock
Students simulate the face unlock biometric security feature in some common devices by training an image recognition model. 
Topics covered:
○	Creating image recognition models
○	Understand how face unlock technology applies machine learning 
Project: Train an image recognition machine learning model to recognize your face in an image and apply this to a mock face unlock app in Scratch.
Lesson 10
 Final Projects
Students demonstrate what they’ve learned by sharing their creation with the class. They can get feedback from peers and the instructor, and get suggestions on how to make the project even better.