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  • Junior Ai Coder

Learn Ai through Real Projects

Join our mentor-guided program and embark on an exciting adventure to learn AI and machine learning through 13+ hands-on projects. Dive into the fascinating world of computer vision, image recognition, virtual assistant AI, and more. Enroll today and unleash your potential as a Junior AI Coder.Best suited for Grade 5 to 12 Students

Best Seller Icon Bestseller
4.8
6169 students
  • English & Malayalam
  • Certified Course
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What you'll learn

Welcome to the Junior AI Coder course, where young learners can dive into the exciting world of Artificial Intelligence (AI) through Scratch programming. Designed for students in grades 5-12, this course provides a comprehensive introduction to AI concepts and hands-on coding experience using Scratch, a beginner-friendly visual programming language.

In Junior AI Coder program, you will:

  • Gain a solid foundation in Artificial Intelligence (AI) and Machine Learning (ML) concepts..
  • Understand the difference between AI and ML and how they are used in real-world applications.
  • Learn the basics of coding using Scratch programming language.
  • Explore the principles of supervised learning and how to apply it to classify images, sounds, and sentiments.
  • Discover the power of chatbots and build your own chatbot using machine learning techniques.
  • Dive into computer vision and learn about its various applications and how to develop your own computer vision software.
  • Explore the fascinating field of face recognition and learn how to create your own face recognition software.
  • Master Optical Character Recognition (OCR) and develop your own OCR software to extract text from images.

By the end of the program, you will have a strong understanding of AI, ML, and their applications, as well as the ability to create your own AI-powered projects using Scratch programming language.

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Course Content

  • Introduction
  • Working with Scratch
  • Machine learning for young

    Introduction To Ai and ML
    Neural Net and Deep Learning
    How to create a new ML project
    Phases of ML Project

    Project 1: Sorting Animal Pictures
    Project 2: Rock, Paper, Scissors
    Project 3: Recognise Movie Poster Part
    Project 4: Mail Sorting
    Project 5: Insulting a computer

    Project 6: Recognizing Language in Newspapers
    Project 7: Finding and Object in the picture
    Project 8: Smart assistants
    Project 9: Chatbots
    Project 10: Avoiding the Monster/span>
    Project 11: Tic Tac Toe
    Project 12: Confusing the computer
    Project 13: Biasing the computer

    AI and Ethics
    Reviewing Section 1
    Reviewing Section 2
    Reviewing Section 3
    Next Stage, How to apply more projects in Real life

Requirements

  • Computer Literacy: Basic understanding of how to operate a computer and navigate through software applications.
  • Internet Connectivity: Access to a computer or laptop with a stable internet connection to participate in online lessons and access course materials.
  • Scratch Software: Install the Scratch software, which is freely available for download. Instructions will be provided on how to set up and use Scratch during the course.
  • Commitment to Learning: Dedicate time and effort to engage with the course material, complete assignments, and actively participate in learning activities.

Description

  • In this course, students will embark on a journey to understand the fundamentals of AI, explore machine learning concepts, and create their own AI projects. With a focus on project-based learning, students will work on engaging assignments, quizzes, and real-life applications of AI. By the end of the course, students will gain a solid foundation in AI, develop critical thinking skills, and be inspired to pursue further studies in this dynamic field.

Review

5.0
Course Rating
63%
29%
6%
1%
1%
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  • Total Duration30+ Hours
  • Enrolled2000+
  • Lectures50+
  • Skill LevelBeginner
  • LanguageEnglish & Malayalam
  • Quizzes10
  • CertificateYes
  • Pass Percentage95%
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Junior AI Coder: Unleash Your Potential in Artificial Intelligence