AI Primus

AI Primus

8,999 / 24 Sessions

Everyone can learn AI | Ages 11 to 13

  • Duration: 24 Sessions

With AI Primus, students dive into the world of AI and coding and create interactive games, apps that can give them—or their friends--a whole new look, programs that speak in different languages, and a security system based on facial recognition.  As they complete these real-world projects, students learn the foundations for programming and key AI concepts such as emotion recognition, computer vision, object detection, chatbot, and more.  

      To aid in mastery of AI concepts, students use a number of popular programming languages, including S4AIWS, Scratch AI extension, Pictoblox, MIT App Inventer, Teachable Machine, Machine Learning for Kids. The course has 40 lessons with end-of-module quizzes to ensure students understand and retain the concepts presented.

  • 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

List of courses

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.
This course takes the learners into the exciting world of AI and programming where they learn key concepts such as emotion recognition, computer vision, object detection, chatbot and many more, through interactive and fun real world application based projects. The course has 40 lessons with end of module quizzes to ensure understanding and retention of concepts. Guided projects using S4AIWS Scratch AI extension, Pictoblox, MIT App Inventor, Teachable Machine, Machine Learning for Kids are provided to aid their mastery. The course is structured around the 5 big ideas of AI and aligned to the ISTE standards. Register your child now and get them ready for the future.