AI Primus - Meritus AI - STEMfinity
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AI Primus


The AI Primus Course from AI World School is an intermediate level program designed for students aged 11 to 13. With 24 sessions, each lasting approximately 1 hour, students will delve into the exciting world of AI through rich and experiential learning. The course covers 5 big ideas in AI and includes hands-on coding experience with tools such as S4AIWS Scratch AI extension, Pictoblox, MIT App Inventor, Teachable Machine, and Machine Learning for Kids. The course features ~40 lessons and 5 quizzes to reinforce learning and includes a capstone project to showcase skills. Upon completion, students will receive a course certificate and become members of the AIWS community. This online and self-learning course has a one-year license validity.



  • Age range: 11 to 13 years 
  • Level: Intermediate
  • Duration: 24 Sessions x ~ 1 hour
  • Mode: Online and Self-Learning
  • Learning content: Rich & Experiential 
  • # of lessons: ~ 40 
  • # of quizzes: Five
  • Learning Experience: Hands-On 
  • Concepts: 5 Big ideas in AI 
  • Coding tools: S4AIWS Scratch AI extension, Pictoblox, MIT App Inventor, Teachable Machine, Machine Learning for Kids
  • Capstone projects: 1
  • Subscription validity: One year
  • Course Certificate on Completion
  • Membership to AIWS Community

Curriculum or Lesson Topics:


AI Primus Chapter 1

This is an introductory chapter about Artificial Intelligence.
This chapter includes:

  • One Lesson on AI
    • 1.1 Can Machines Think?
  • One Quiz


AI Primus Chapter 2


    This chapter will introduce learners to the basics of Perception in Artificial Intelligence and also introduce learners to Scratch4AIWS

    This chapter includes:

    • Two Lessons on Perception
      • 2.1 Can Machines Perceive?
      • 2.2 Do Machines Have Neural Networks?
    • One Introductory Lesson to Scratch4AIWS
      • 2.3 Introduction To Scratch4AIWS
    • One Quiz


    AI Primus Chapter 3

    This chapter will introduce learners to the basics of KRR and Machine Learning in Artificial Intelligence and also introduces learners to Machine Learning coding.
    This chapter includes:

    • Three Lessons on Knowledge Representation and Reasoning
      • 3.1 Can Intelligent Behavior Be Modelled Into Machines?
      • 3.2 Can Machines Learn And Improve On Their Own?
      • 3.3 How to Train A Machine?
    • An Introductory Lesson to Machine Learning for Kids
      • 3.4 Introduction To Machine Learning For Kids
    • Four AI Challenges 
    • One Quiz


    AI Primus Chapter 4

    This chapter will introduce learners to the basics of Natural Language Processing and also introduces learners to Scratch with AI Extension.
    This chapter includes:

    • Two Lessons on AI
      • 4.1 How Do Machines Make Sense Of The Data?
      • 4.2 What Are The Syntaxes And Semantics Of Learning?
    • An Introductory Lesson to Scratch with AI Extension
      • 4.3 Introduction To S4AIWS - Scratch With AI Extension
    • Four AI Challenges
    • One Quiz


    AI Primus Chapter 5

    This chapter will introduce learners to different biases in AI.
    This chapter includes:

    • One Lesson on AI
      • 5.1 Introduction To AI Biases
    • An Introductory Lesson to MIT APP Inventor
      • 5.2 Introduction To MIT APP Inventor
    • Three AI Challenges
    • One Quiz


    AI Primus Chapter 6

    • This Chapter Includes Eight Additional AI Challenges



    Themes and Modules Learning Outcomes
    What is AI? Explore the world of Artificial Intelligence and delve into the amazing things it can provide.
    Can AI understand sentiments? Develop an AI program that will carry out text classification and sentiment analysis, to identify positive or negative connotations of the text.
    Define AI and its impact on society. Build a language translator program to understand how natural interaction between machines and humans work and its societal impact.
    How is natural interaction possible through AI? Create an AI program that utilizes sense perception to recognize real-time scenarios such as responding to traffic violations.
    What is the connection between AI and Neural Network? Develop an AI program to play stroop effect game to demonstrate how the human brain processes words, colors, patterns etc.
    Is it possible for AI to recognize emotions? Create a model to investigate human emotions using a sentiment analysis tool.
    Can AI differentiate different objects? Design an AI program that will use computer vision tools to read and recognize the image features from the images and display the list of objects.
    Investigate brand recognition using computer vision. Explore how to create a program to recognize image features using computer vision tools.
    What is perception? Understand the concept of perception in AI and develop an AI program that will detect a person's age and gender.
    Investigate the concept of AI face filter using computer vision. Build an AI program to track the human face and apply face filters using computer vision and face detection extension.
    What is gesture control? Is it possible in AI? Develop a game-based AI program using gesture control.
    What is machine learning? Build knowledge by actively exploring real-world situations to understand sentiment analytical tools.
    Can we make a machine intelligent? Create an Intelligent machine that will analyse Text, Semantics and understand NLP concepts and its impact.
    What is Natural language processing? Deep dive to understand the various facets of Natural Language Processing.
    What is machine learning? Explore and experience an AI image classification program, and train it using machine learning and computer vision tools to identify whether a person is wearing a mask or not.
    What is perceptual process and data acquisition? Build a face tracker system using ML and face detection extensions to maintain the tracking sheet using data logger.
    Investigate the human machine interaction with perception. Plan and create a AI program to play a quiz game using computer vision tools.
    How can we enable image classification using computer vision? Build a AI program that will perceive and classify image data using computer vision extension.
    What are face recognition tools? Develop an intelligent machine to monitor target zones on a image of a face using face recognition tools.
    Investigate the concepts of perception and classification process. Create a program to classify the audio data using machine learning concepts and learn how perception helps to build an intelligent machine or robot that will react like human.
    What is natural language understanding and natural language generation? Build a language translator app using NLP components such as natural language understanding and natural language generation.
    What is conversational agent? Articulate and create a text-based conversational agent.
    Can AI recognize human intentions? Build an interactive voice-based conversational agent program that can be trained to recognize the intent of the input.
    How do machines learn using AI? Analyse an AI program to perform sentiment analysis (or opinion mining) using natural language processing and machine learning to interpret and classify emotions in subjective data.
    What is image classification? Deep dive to understand an image classifiction machine learning model to identify and classify the object and demonstrate the process of supervised machine learning model.
    How can we build a security system? Build a face security system to identify the person's face by combining computer vision and machine learning features.
    Is audio classification possible in AI? Create an audio classification model to recognize and classify the audio data and understand the concept of supervised learning.
    What is reinforcement machine learning? Develop an AI program using reinforcement machine learning concept to play a pac-man game.

    What’s Included:

    1-year access to 1 student for AI World School's AI Primus course program. 

    Additional Information and Resources:


    Technology Requirements/Specifications:

    Minimum Tech Requirements:

    • Operating System: Windows 10+
    • CPU: Intel Core i3 & above | 64 bit processor
    • RAM: 4 GB minimum
    • Network: Wired DSL Internet Connection, 40 Mbps minimum


    Special Notes and Considerations:

    PLEASE NOTE: This product is a temporary digital license and not a physical product. We DO NOT accept returns or refunds on digital licenses.

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