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Blueinno Technology Limited

Phone: +852 39145257

Whatsapp: +852 55405257

Kowloon - Blueinno Technology (Google map): 

Room 906, 9/F, Summit Insurance Building, 789 Nathan Road,

Prince Edward, Kowloon, Hong Kong

(2 mins walk from Prince Edward MTR Exit E)

©2019 by Blueinno Technology Limited​ 

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AI Tech Club (11+ year old)

Age: 11+

Level: Advanced

Language: English / Cantonese

Instructor to Student Ratio: 1:5

 

Technology is changing the world. In our AI Tech Club, we teach students cutting edge technology, such as AI, computer vision, etc. Most important of all, we teach students how to use technology to solve real life problems.

 

Module: Java Processing for Computer Vision

  • Build Raspberry Pi computer

  • Build Your Camera

  • Introduction to Computer Vision

  • Image Processing: Image Filters

  • Code with Java Processing3

Module: Introduction to A.I.

  • Code with Python!

  • Build Your Chatbot (Virtual assistant)

  • Build Your Google Assistant - Voice-controlled Lamps

  • Natural language processing (NLP)

  • Customized Google Assistant Commands!

Module: Smart Home Internet Of Things

  • Code with Python!

  • Recognize your face and emotions!

  • Learn Machine Learning Techniques, such as K-nearest neighbor (KNN) and Convolutional Neural Network (CNN)

  • Smart Care System for the Elderly and Children

  • IFTTT IoT Applications

 

 

*Please note that all modules are independent.

 

Education Tools:

  • Raspberry Pi

  • Processing 3

  • Coding Language: Python, Java Processing 3

 

Requirements:

  • Must have experience with real codes, such as Arduino C, JavaScript, or Python.

  • Student without programming experience are recommended to take Basic Scratch / Arduino / micro:bit courses.

  • Bring your own laptop with charger and pre-installed Google Chrome browser 

 

Takeaway

  • Raspberry Pi Computer , camera and sensors (worth HK$600) for new student

  • Attendance Report (via email)

  • Certificate

Why do your kids need this course?

​為何要報這個課程?

Your questions want prior coding training and need professional teaching

你的孩子想挑戰編程和人工智能,你需要專門老師幫忙

Your kids always have questions on coding like Python, Java, and you need a teacher with an engineering background to help!

你的孩子問了一大堆關於編程的問題,需要有人指點迷津

How do we teach coding?

​我們如何教coding?

1. We believe students must learn at least one solid programming language​

我們相信學生必需要學懂最少一種編程文字語言 (text-based coding language),而不應只停在積木方塊(drag and drop blocks),因為工作上用的編程都是文字的。

2. Block languages are defined differently in different platform, but with the same coding concepts. However, the text-based programming language has the same defined syntax in all platform and is widely used.  積木方塊會跟據不同公司有所不同,但其實都是相同編程理論,但文字語言的syntax 是不會改變的. 

3. We teach Arduino C Programming, and then Java, which is the entry coding language for University, and finally is Python.

我們會先教Arduino 的C語言,這是最正統的語言,因為程式特性,學生可以輕易轉到Java, 到最後會用3-4 個課程專注學Python. 

Media Interview

Our AI Curriculum is featured in Hong Kong Economic Times​

Course Structure

3 terms each year: FALL (SEPT - DEC), WINTER (JAN - MAR), SPRING (APR-JUN)

10-14 weekly classes per term

each class is 1 hour 30 mins long

Time Schedule

2019 FALL TERM (SEPT - DEC):

Location: Blueinno Technology (Prince Edward)

Room 906, 9/F, Summit Insurance Building, 789 Nathan Road, Prince Edward, Kowloon, Hong Kong (2 mins walk from Prince Edward MTR Exit E)

Saturday

9AM - 10:30PM

(confirmed)

Saturday

3:15PM - 4:45PM

(confirmed)

Friday

4:30PM - 6PM

(NEW)

Fridays:Sept 20, 27; Oct 4, 11, 18, 25; Nov 1, 8, 15, 22

Saturdays:  Sept 21, 28; Oct 5, 12, 19, 26; Nov 2, 9, 23, 30 (no class on Nov 16)

All students will be invited to STEM Project Presentation Day on Dec 15, 2019 (Sunday)

Course Fee: HK$6600 (for 10 lessons)

Back to school offer (before Sept 8): HK$6300 (for 10 lessons)

(Course Fee including all material cost, and you can take away your final projects)

Additional lessons:  HK$550/lesson for lesson 11-13 (optional for advanced projects)

For New Students,

- We highly recommend new students to join free assessment session before enrolment.

* Tell us if you preferred other time schedule