Joy with AI – Intermediate

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₹3,999.00
Joy-with-Ai
  • Skill Level: Intermediate
  • Session Duration : 12 + 2 = 14 hours  
  • 12 hands-on AI & Coding experiences 
  • 2 capstone projects
  • Rich Learning Content
  • Online learning at home 
  • Taught by experienced tutors.
  • We provide a safe, caring & inclusive learning environment.
  • Course Certificate
  • Life-long membership to AISI community

Course Features

  • Lectures 0
  • Quizzes 0
  • Duration 14 hours
  • Skill level Intermediate
  • Language English
  • Students 1
  • Assessments Yes
  • Curriculum 0


     

    Joy With AI

    Level: Intermediate

    S. No.

    Topic

    Learning Objectives

    1

    Current Technologies in AI

    An experiential session for learners to better understand AI features such as Camera Vision, Machine Learning, Natural Language Processing etc.

    2

    Origin of AI

    Learners will explore the origin of the concept of AI. They will develop an AI program using computer vision tools such as image and text recognition to identify the faces and shapes of numericals.

    3

    Weather Forecast & AI

    Learners will develop an AI App that will perform a “web request from URL” function and also incorporate regular expressions to access and provide weather information of different places from around the world.

    4

    What makes a machine “Artificially Intelligent”?

    In this session, learners will explore the classifications of Intelligence and how to define an intelligent system/robot as 'Artificially Intelligent'. They will create an AI “conversational agent” program that will carry out Textual Classification through word extraction and comparison processes.

    5

    Stages in AI Development

    Learners will explore each of the stages involved in AI development by creating an AI program that will carry out image classification and emotion recognition from image data and in turn display human-like responses.

    6

    Machine Intelligence & Human Intelligence: A Comparison

    Learners will discuss the types of AI being used in daily life. They will also compare the differences between Human and Machine intelligence by developing an AI program to identify and differentiate words, colors etc.

    7

    Model behind AI Systems

    Learners will develop an AI program that utilizes and learns from sensory inputs to simulate how robots use AI for navigation.

    8

    Architecture of AI:
    Learners will perform an analysis of different AI architecture through the following activities -

    1. Develop and train an AI game through Machine Learning models to recognize and label hand gestures into appropriate actions.

    9

    1. Develop an AI program to perceive and identify Age & Gender from different human face image data.

    10

    1. Develop an AI program to use emotion recognition tools to evaluate different human face image data.

    11

    1. Develop and train an AI “Face Tracker” program through a combination of computer vision tools and machine learning models.

    12

    Coded Bias [Part 2]

    Learners will explore and discuss how facial recognition technology & AI algorithms identify bias in a training dataset and extend the training set to address the bias.

    13

    Capstone Projects

    The learner will design and work on a first project using the PBL {Project Based Learning Framework} that applies AI to solve a problem with guidance from the AI facilitator using Design Thinking philosophy.

    14

    The learner will design and work on a second project using the PBL {Project Based Learning Framework} that applies AI to solve a problem with guidance from the AI facilitator using Design Thinking philosophy.

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₹3,999.00
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