Transform with AI – Advanced

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₹3,999.00
Transform-with-Ai
  • Skill Level: Advanced
  • 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 Advanced
  • Language English
  • Students 1
  • Assessments Yes
  • Curriculum 0


     

    TRANSFORM WITH AI

    Level: Advanced

    S. No.

    Topic

    Learning Objectives

    1

    Development of AI technologies: Early stages to present day

    Learners will develop an AI program to identify the position of different parts of the human body (head, arms, legs etc.), and also train the AI to track the position of the identified parts.

    2

    Deep Learning techniques in Sound Classification

    Learners will develop an AI program to recognize different animal sounds and train the program to detect instances of poaching.

    3

    Machine Learning in AI:
    Types of Machine Learning

    Learners will describe and compare the three different machine learning approaches: Supervised, Unsupervised and Reinforcement learning by creating, testing and training an AI program using ML models to recognize alphabets from English language..

    4

    Facial Recognition technology & AI

    Learners will develop an AI program that will identify and classify facial features such as eyes, nose, ears etc. to demonstrate advanced facial recognition technology algorithms.

    5

    Posenet technology & AI

    Learners will develop an AI program that will identify, analyse and react to different human poses.

    6

    Webrequest technology & AI

    Learners will develop and train an AI program using “regular expressions” to recognize commands and differentiate between past and present scenarios.

    7

    Sense Perception in AI

    Learners will explore the role of Sense Perception by creating an AI app that will sense environmental parameters. They will train the app to analyze and make inquiries if any environmental abnormalities are detected.

    8

    Database Strategies & AI

    Learners will create an AI app that will analyse video data and suggest similar products/services related to the content of the video data.

    9

    Conversational Agents & AI

    Learners will explore how Conversational Agents such as Google Assistant, Alexa and Siri interpret and grasp user intent. They will create their own Voice User Interface (VUI) by building a voice-driven AI calculator program that will perform basic arithmetic operations based on voice commands.

    10

    Video Game Development & AI

    Phase 1: Learners will develop a real time game and train the AI to learn throughout the game play.

    11

    Phase 2: Learners will test AI to check if it has eventually learnt to play the game without further detailed commands from the programmer.

    12

    Data Handling & AI

    In this experiential session, learners will discuss and explore the ethical problems and dangers of data acquisition in AI.

    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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