AI for Juniors | Grade 3 to 5 | Intermediate

User Avatar
(0 review)
Free
Ai-For-Junior-Intermediate
  • Grade  : 3 to 5
  • Skill Level: Intermediate
  • 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 3 to 5
  • Language English
  • Students 0
  • Assessments Yes
  • Curriculum 0


     

    AI For Juniors

    Level: Intermediate

    S. No.

    Topic

    Learning Objectives

    1

    Fundamentals of AI: Current AI features in technology

    An experiential session where students will explore current AI technologies and how they will benefit present and future generations.

    2

    Perception in AI:
    Facial Recognition

    Students will create an AI program that uses computer vision tools to detect different types of human faces.

    3

    Natural Language Processing (NLP) application in AI

    Students will create a program with NLP tools to control an object using human language commands as input.

    4

    NLP application in AI: Comprehension & Generation

    Students will create an interactive “virtual pet” AI program which will utilize speech recognition and generation tools.

    5

    Perception In AI:
    Posenet Process

    Students will create an AI program that uses computer vision tools and Machine Learning models to learn and recognize human poses.

    6

    Perception in AI:
    Audio Classification

    Students will create an AI program with audio classification tools and explore how perception helps to build intelligent machines that display human-like reactions.

    7

    Machine Learning & Natural Interaction: Image Classification

    Students will create and train an AI program using computer vision tools and Machine Learning models that will carry out image classification.

    8

    Machine Learning & Natural Interaction: Plotting Data charts

    Students will create and train an AI program to use Machine Learning models to predict and plot data charts.

    9

    Perception in AI: Human Head Gesture recognition

    The student will create an AI program that uses computer vision tools to perceive and recognise human head gestures.

    10

    Creating a Conversational Agent

    The student will create and train an AI “conversational agent” program to respond to queries provided by the user.

    11

    Training the Conversational Agent: Part 1

    The student will apply Machine Learning models and Mind Mapping in teaching, training and testing the conversational agent program.

    12

    Impact of AI on Society:
    [Part 2]

    In this experiential session, students will explore the positive and negative outcomes of the common uses of AI technology.

    13

    Capstone Projects

    Students will design and 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.

    14

    No items in this section
Free
× How can I help you?