Systematization of curriculum

ML 001

initiation

focus on k1-3；learning Scratch and introduction toAI, Learn how to make simple AI games and applications.

ML 101

introduction

For primary and middle school grade k4-10, we encapsulate AI/ML as toolkit tool, combined with programming software. Student will use intelligent AIY and robot to learn. They can use the AI tools we provide to invent and create their own real-world applications and games.

ML 200/300

advanced

Really get into the ML/DL world. Learning Systematically of the API and even like tensorlow for competition. And gradually learning the AI in industrial strength to invent and create ML applications or robot applications.

ML 400

thorough

Completely remove the encapsulation, understanding DL in detailed an in-depth; the practical projects is includes developing applications.

Self-study of the courser of the DL lessons, and we provide the Q&A.

What does Thinkland teach with?

The students will start from visual programming language Scratch and gradually progress to the text-based Python and JavaScript. The transition from in-browser environments to desktop computing, to the more physical Raspberry Pi robotic controller, and ultimately to the more powerful AI cloud will take place smoothly, as the students gain problem solving skills and confidence in their understanding of different AI capabilities. In time, they will become more creative in their tackling of real-world problems.

Introductory course

AI001 Scratch Coding and AI Primer k-3

ML101 IIntroduction to Machine Learning Applications via Scratch k4—6

ML201 Introduction to Raspberry Pi Applications k6-8

Overview of Course ML101

Focused on basic concepts of machine learning, delivered via projects in implemented in Scratch, the course covers the following

Overview of Topic 2

ML201: SpongeBob and Friends

Machines also use different sensory inputs to collect information. A computer can look at an image and draw conclusions just as we do. Look at SpongeBob and his friends streaming out of the Krusty Krab’s. Mr. Krabs requires that different characters be sent to their respective destinations. How do we tell the computer to correctly differentiate these characters? We attempt to do just that in this topic: help the computer learn how to classify images into different labels and then act accordingly.