AI for Seniors | Grade 6 & above | Beginner

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  • Grade  : 6 and above
  • Skill Level : Beginner
  • Rich Learning Content
  • Online learning at home 
  • Hands-on experiences + capstone projects + assessments
  • Taught by experienced tutors.
  • We provide a safe, caring & inclusive child-centric learning environment.
  • Course Certificate
  • Life-long membership to AISI community

Course Features

  • Lectures 0
  • Quizzes 0
  • Skill level Grade 6 & Above
  • Language English
  • Students 0
  • Assessments Yes
  • Curriculum 0


    AI For Seniors

    Level: Beginner

    S. No.


    Learning Objectives


    Fundamentals of AI Revisited

    This experiential session will recap the fundamentals of AI and provide students with an overview of the advanced AI technologies and features.


    Natural Language Processing & AI: Text parameters

    Students will work on an AI program that will carry out text classification and sentiment analysis based on the data provided.


    NLP & AI: Speech parameters

    Students will work on an AI Avatar program that will carry out speech recognition and speech generation functions.


    Neural Networks & AI

    Students will create and train an AI program to play the “Stroop Effect” game to demonstrate how the human brain processes words and colors differently.


    Perception in AI: Face Count

    Students will create an AI program using speech generation and speech recognition tools to play the "Find my Birthday" game.


    Impact of AI on Society:
    [Part 4]

    Students will explore various scenarios and Case Studies and describe the ways that AI systems can be designed for inclusivity.


    Human Interaction with AI: Language Translation

    Students will create an AI program using language recognition and translation tools to simulate natural interaction between Intelligent machines & Humans.


    Human Interaction with AI: Image Sensing

    Students will create an AI program that uses image recognition and classification tools to demonstrate how perception helps to build intelligent machines with human-like reactions.


    Human Interaction with AI: Conversational Agents

    The student will work on an AI “conversational agent” program that can be trained to receive and recognize input from the user and provide appropriate responses.


    Machine Learning in AI: Human Emotion Recognition

    Students will train an AI program using Machine Learning models to identify emotions from data from a series of human facial expressions and classify them under appropriate emotion labels.


    Machine Learning in AI: Human Face Recognition

    Students will train an AI program using computer vision tools and Machine Learning models to recognize and sort different human face data samples.


    Coded Bias [Part 1]

    This experiential session will help students explore and discuss using a Case Study methodology on how bias affects innovative and transformational knowledge about fake news, data privacy etc and its impact on society.


    Capstone Projects

     Students will design & work on 2 projects using the PBL {Project Based Learning Framework} that applies AI to solve a problem. Instructors will guide the students using the Design Thinking philosophy.


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