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AI for Youngsters (3 Levels, Instructor Led)

What learn

  • What is AI
  • What is AI
  • Experiments with Google
  • Block Based Programming
  • Machine Learning
  • Introduction to Python
  • Neural Network
  • Deep Learning
  • Computer Vision

Requirements

  • A Laptop/PC/Mobile with an Internet connection and sufficient storage.

Description

Level 1: Foundations of AI
In the first level, students are introduced to the basics of Artificial Intelligence, exploring what AI is and its real-world applications. They engage in interactive experiments using Google’s AI tools, specifically designed to spark curiosity and hands-on learning (Module 3(a)). The course then transitions into block-based programming, a visual approach to coding that helps young learners grasp fundamental programming concepts in a fun and intuitive manner (Module 4). The level concludes with an introduction to machine learning for kids, where students learn simple machine learning concepts and their practical applications (Module 5).

Level 2: Python Programming
The second level delves into Python programming, beginning with the installation of Python and an introduction to its syntax. Students learn about core programming concepts, including operators, variables, strings, lists, tuples, maps, conditions, loops, functions, and classes. This foundational knowledge is crucial for understanding more complex programming tasks. The level culminates in a final project where students apply their Python skills to create a comprehensive and practical coding project, reinforcing their learning and showcasing their abilities.

Level 3: Advanced AI Topics
In the final level, students explore advanced topics in AI. They begin with an introduction to neural networks, understanding how they mimic the human brain to solve complex problems. The course then covers deep learning, focusing on advanced techniques and their applications in AI. Students also learn about computer vision, a field of AI that enables computers to interpret and understand visual information from the world. The level concludes with a final project where students integrate the advanced concepts they've learned to develop a sophisticated AI solution, demonstrating their comprehensive understanding of the subject.

Throughout all levels, students are guided by a seasoned instructor who provides expert mentorship and support, ensuring a thorough and engaging learning experience.

Frequently Asked Question

About Instructor

instructor
About Instructor

Saurav is a passionate AI and Data Science instructor with a Master’s degree in Computer Science from the University of Bonn, Germany. With years of experience in the field, Saurav has a knack for simplifying complex concepts, making technology accessible and exciting for young learners. His love for teaching is matched only by his enthusiasm for travel, which fuels his curiosity and creativity. Whether he's exploring new cultures or the latest in AI, Saurav is dedicated to inspiring the next generation of tech innovators with his unique blend of expertise and adventure.