new_AI maker

Una AI Maker Online Training Course

By using blocks coding, this course introduces students to AI concepts, limitations and responsibilities. Students will apply different AI technologies and train AI models using Microsoft Azure cognitive service and Google Teachable Machine.  

*All courses must be completed within one year 

  1. Training fee: HKD 220 x 10 hours = HKD 2,200
  2. Subscription/ Teaching material fee: HKD 280 (yearly)
  3. Hardware fee: /

Total: HKD 2,480 

HKD 2,480
(USD 326)

What you will learn

Are you suitable for this course?

Required equipment:

Course Content

Explore where AI is used in daily life and experience AI

  • Learn the basic concept of AI
  • Understand what is machine learning
  • Find out AI applications in daily life

Make an smart object recognition device with Computer Vision

  • Learn the basic concept and usage on computer vision
  • Learn how to use Una to connect Microsoft Azure Cognitive Services, Raspberry Pi devices and sensors
  • Through experiment, find out the relationship between different image effect and the accuracy of the AI analysis
  • Understand AI bias and learn how to use and protect data properly with focus on inclusiveness, privacy and security

Make smart face detection system to recognize facial appearance, distinguish boy and girl

  • Learn the principle and applications of face detection
  • Understand the JSON data result about the gender information
  • Learn how to count total number of boys and girls from AI result
  • Reflect and discuss the ethical problems in fairness, reliability and safety of face detection

Make a smart system to detect and recognize facial expressions, identify people’s inner feelings and outer feelings

  • Learn about facial expression recognition and detect the facial expression recognized
  • Understand facial expressions include multiple expressions, and each expression will display a confidence level
  • Write and assemble an AI system for calculating how many people in the image are happy
  • Learn that AI cannot truly recognize the inner feelings by facial expressions. AI results are based on the training data

Through face recognition experiment, analyse human’s facial feature and determine the similarity of two faces

  • Learn the principles and applications of face recognition, understand the JSON data result about similarity
  • Write a program that can analyze the similarity between two people
  • Understand the accountability of AI

Learn the characteristics of JSON data format, analyse the weather conditions

  • Learn different data types related to JSON data format
  • Learn how to read and use JSON data

Train an AI classification model by Google Teachable Machine and make a smart system to detect specific type of animal

  • Learn the fundamental of machine learning
  • Learn the fundamental of image classification
  • Use Google Teachable Machine to train an AI model and export the trained model to Raspberry Pi

Train an AI classification model by Google Teachable Machine and make a smart system to detect whether a human sit straight

  • Learn the fundamental of human pose detection
  • Learn how to use Google Teachable Machine to train the AI with photos in order to recognize poses
  • Understand the limitation of AI model

Train a smart recycling model by Google Teachable Machine

  • Learn the fundamental of supervised learning and how to prepare training data properly
  • Learn the concept of supervised learning
  • Learn how to improve the accuracy of the model

Train a better smart recycling model by Google Teachable Machine

  • Understand the requirements of training data
  • Learn advanced concept on supervised learning
  • Understand the difference between training data, testing data, and data inputted from the device

Explore where AI is used in daily life and experience AI

  • Learn the basic concept of AI
  • Understand what is machine learning
  • Find out AI applications in daily life

Make an smart object recognition device with Computer Vision

  • Learn the basic concept and usage on computer vision
  • Learn how to use Una to connect Microsoft Azure Cognitive Services, Raspberry Pi devices and sensors
  • Through experiment, find out the relationship between different image effect and the accuracy of the AI analysis
  • Understand AI bias and learn how to use and protect data properly with focus on inclusiveness, privacy and security

Make smart face detection system to recognize facial appearance, distinguish boy and girl

  • Learn the principle and applications of face detection
  • Understand the JSON data result about the gender information
  • Learn how to count total number of boys and girls from AI result
  • Reflect and discuss the ethical problems in fairness, reliability and safety of face detection

Make a smart system to detect and recognize facial expressions, identify people’s inner feelings and outer feelings

  • Learn about facial expression recognition and detect the facial expression recognized
  • Understand facial expressions include multiple expressions, and each expression will display a confidence level
  • Write and assemble an AI system for calculating how many people in the image are happy
  • Learn that AI cannot truly recognize the inner feelings by facial expressions. AI results are based on the training data

Through face recognition experiment, analyse human’s facial feature and determine the similarity of two faces

  • Learn the principles and applications of face recognition, understand the JSON data result about similarity
  • Write a program that can analyze the similarity between two people
  • Understand the accountability of AI

Learn the characteristics of JSON data format, analyse the weather conditions

  • Learn different data types related to JSON data format
  • Learn how to read and use JSON data

Train an AI classification model by Google Teachable Machine and make a smart system to detect specific type of animal

  • Learn the fundamental of machine learning
  • Learn the fundamental of image classification
  • Use Google Teachable Machine to train an AI model and export the trained model to Raspberry Pi

Train an AI classification model by Google Teachable Machine and make a smart system to detect whether a human sit straight

  • Learn the fundamental of human pose detection
  • Learn how to use Google Teachable Machine to train the AI with photos in order to recognize poses
  • Understand the limitation of AI model

Train a smart recycling model by Google Teachable Machine

  • Learn the fundamental of supervised learning and how to prepare training data properly
  • Learn the concept of supervised learning
  • Learn how to improve the accuracy of the model

Train a better smart recycling model by Google Teachable Machine

  • Understand the requirements of training data
  • Learn advanced concept on supervised learning
  • Understand the difference between training data, testing data, and data inputted from the device

Feedback

Mr Jimmy Chan
Mr Jimmy Chan Vice Chairman of Council of the Hong Kong Association for Computer Education (HKACE) and Head of IT committee of SKH Li Fook Hing Secondary School
Read More
Under the pandemic, the Una platform allows students to participate in online lessons interactively, collaboratively and learn AI continuously at home. It is surprising that students can even test the coding result through a Raspberry Pi remotely. As a teacher, I appreciate the clear learning objectives and the comprehensive assessments to review what students have learned. Like!
Mr Jonathan Yau
Mr Jonathan Yau STEM Education Coordinator of Lam Tai Fai College
Read More
I am a science teacher without IT background, but Una helps me to conduct AI courses efficiently and solves problems encountered by teachers before, during and after class.
Mr Chris Yuen
Mr Chris Yuen Teacher of Alliance Cheng Wing Gee College
Read More
During the teaching process, I hope students can learn to connect AI concepts in real life. After using Una Platform, students can solve the problem as teams and grasp related concepts step by step.
Previous
Next
Mr Jimmy Chan
Mr Jimmy Chan Vice Chairman of Council of the Hong Kong Association for Computer Education (HKACE) and Head of IT committee of SKH Li Fook Hing Secondary School
Read More
Under the pandemic, the Una platform allows students to participate in online lessons interactively, collaboratively and learn AI continuously at home. It is surprising that students can even test the coding result through a Raspberry Pi remotely. As a teacher, I appreciate the clear learning objectives and the comprehensive assessments to review what students have learned. Like!
Mr Jonathan Yau
Mr Jonathan Yau STEM Education Coordinator of Lam Tai Fai College
Read More
I am a science teacher without IT background, but Una helps me to conduct AI courses efficiently and solves problems encountered by teachers before, during and after class.
Mr Chris Yuen
Mr Chris Yuen Teacher of Alliance Cheng Wing Gee College
Read More
During the teaching process, I hope students can learn to connect AI concepts in real life. After using Una Platform, students can solve the problem as teams and grasp related concepts step by step.
Previous
Next

Una AI Maker Online Training Course

HKD 2,480 (USD 326)