AI with Scratch

Course Description

AI with Scratch

AI with Scratch course is an introductory program designed to immerse students in the fascinating world of Artificial Intelligence (AI) and Machine Learning (ML). AI has become an integral part of various fields, including agriculture, healthcare, transport, manufacturing, and sports. In this course, students will explore the basics of AI and ML, learning the "What, Why, and How" through interactive and engaging projects using Scratch, a block-based coding platform.

This course is tailored to make complex concepts accessible to young learners, allowing them to grasp fundamental AI and ML principles in a fun and intuitive way. By building hands-on projects, students will develop a foundational understanding of how these technologies work and their applications in the real world.

Laptop or Desktop Required: students are required to have access to a laptop or desktop computer equipped with a functioning microphone and camera.

Learning Mode: The course is conducted through live instructor-led sessions, ensuring personalized guidance and interaction.

No Distractions: To maximize learning, it’s essential for students to engage in the classes without distractions.


Upon Completion of the Course, Students Will Have:

  • Foundational Understanding of AI and ML: Acquired basic knowledge of Artificial Intelligence and Machine Learning concepts, tailored to be understandable for young minds.
  • Practical Skills in Using Scratch: Gained hands-on experience with Scratch, a user-friendly, block-based coding platform, enhancing their coding skills while making learning enjoyable.
  • Insight into Real-World Applications: Learned about the diverse applications of AI and ML across various industries, helping students appreciate the practical impact of these technologies in everyday life.
  • Project-Based Learning Outcomes: Completed interactive projects that demonstrate an understanding of AI and ML concepts, reinforcing theoretical knowledge through practical application.
  • Enhanced Problem-Solving Abilities: Developed critical thinking and creative problem-solving skills by tackling project challenges and exploring innovative solutions.
  • Foundation for Advanced Technology Studies: Built a strong foundation in coding and AI principles, preparing them for more advanced studies in technology, computer science, and related fields.
    • 1. Introduction to Artificial Intelligence:

      • Discover the basics of AI and its impact on various technologies.

      2. Facial Recognition:

      • Learn how to build a system that can identify and verify faces using AI techniques.

      3. Person Detection (Identifying Different Faces):

      • Develop a model to detect and distinguish between different individuals in images.

      4. Objects Detection:

      • Create AI solutions to recognize and classify objects within images.

      5. Natural Language Processing:

      • Explore how AI can understand and process human language for various applications.

      6. Actions with Voice Commands:

      • Implement voice recognition to execute actions based on spoken commands.

      7. Body Pose Detection:

      • Learn to detect and interpret human body positions and movements using AI.

      8. Hand Sign Detection:

      • Build a system to recognize and interpret hand gestures and signs through AI.

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