top of page
Math Notebook and Calculator
Math and Geometry Tools

Kaggle Machine Learning Competition Boot Camp Series

 

Kaggle is one of the most popular and novice friendly platforms for machine learning competitions, with a wide range of challenges covering topics such as computer vision, natural language processing, and time series analysis.

Step by Step Method to Master AI

kaggle_intro.png
Kaggle_intro_2.jpg

AI Foundation Course

Scratch to AI Foundation Course 

Date:  TBD - 4 Days

Time:  From 9:30 until 11:00 (UK Time)

School Year Group:  Year 6 - Year 9

Tutor-Child Ratio: 1:5; Max 5 Children Per Teacher

Fee: £160

* Taught by UK Russell Group University Professor

* Course Content designed by UK Russell Group University Professor, senior software developers with rich AI Industry experience and Key Stage 3/Key Stage 4 computer science teachers from UK grammar schools.

* Sparking Interest in Math by AI.

* Discover How to Apply AI Skills in robotics, STEM projects and competitions.

- Online AI Foundation Course with activities.

- Learn basic AL/ML concepts and process within a week without prior knowledge in AI or Python.

- Preparation for our advanced Python-AI Course.

machine Learning.jpg
Course Demo Video

Foundational Skills:

If your child has prior experience with block coding or Scratch, this course will effortlessly transition them into the fascinating world of AI. They will explore machine learning, discovering the algorithms and models that teach machines to learn and make independent decisions.

Specialized Knowledge:

By delving into Object Recognition and Natural Language Processing, your child will learn to identify objects, analyze sentiments, and the techniques of developing AI models.

Decision-Making Skills:

The course deepens your child's grasp of decision logic, enabling them to explore the processes underlying AI-driven decision-making, essential for creating detection systems and classifiers.

Practical Experience:

Emphasizing a hands-on approach, the curriculum guides students through the process of data science and machine learning, mirroring the tasks of a contemporary AI developer.

Creative and Independent Projects:

Upon completing the course, your child will be equipped to transform their creative ideas into innovative projects. They will be able to independently initiate AI projects, applying their newly acquired skills in practical settings such as robotics and beyond, and fostering a robust interest in math, the backbone of AI algorithms.

Course Structure

What your child will learn

  • Sentiment Analysis

  • Image and Video Processing

  • Deep Learning

  • Neural Network

  • Supervised Learning

  • Unsupervised Learning

  • Natural Language Processing

  • The typical AI workflow in AI Industry

  • Developing Chatbots,  Recognition Systems, Smart Home Solutions, and More.

  • Creating Personal Projects Using AI Techniques, Including Robotics and Beyond.

  • Keen to Learn Math, the Key to Understanding AI Algorithms.

Course Objectives

bottom of page