top of page
語言
粵語 東方方言
地點
即將公佈
課程單元
即將公佈
入讀要求
即將公佈
課程大綱
此課程旨在學習人工智能概念、局限和權責
學習機器學習的基礎知識
使用 Microsoft Azure 認知服務，應用多種 AI 技術，編寫 AI +IoT模組
學習建立AI+IoT數據庫
Module 1
Introduction to AI and Arduino
2.5 hours
-
Overview of AI concepts and its applications
-
Introduction to Arduino boards and their capabilities
-
Understanding the intersection of AI and IoT
-
Hands-on Activity: Setting up an Arduino board, basic programming, and connecting it to a computer
Module 2
Machine Learning Basics
3.5 hours
-
Review machine learning concepts from a practical perspective
-
Introduction to integrating AI with IoT using Arduino
-
Hands-on Activity: Implementing simple ML models on Arduino for sensor data analysis
Module 3
Azure AI Services and IoT Integration
5 hours
-
Introduction to Azure IoT Hub and its integration with AI services
-
Utilizing Azure IoT Edge for deploying AI models on edge devices
-
Hands-on Activity: Connecting an Arduino board to Azure IoT Hub and deploying an AI model to the edge device
Module 4
Data and AI for IoT
3.5 hours
-
Data collection, preprocessing, and analysis in IoT scenarios
-
Integration of data streams from IoT devices with AI models
-
Hands-on Activity: Collecting sensor data with Arduino, preprocessing, and using it for real-time AI analysis
Module 5
Ethics, Responsible AI, and IoT
2 hours
-
Ethical considerations in IoT and AI applications
-
Ensuring responsible AI practices in IoT deployments
-
Hands-on Activity: Implementing fairness and bias considerations in an IoT-AI system using Arduino data
Module 6
AI Deployment for IoT
4.5 hours
-
Strategies for deploying AI models on IoT devices
-
Performance monitoring and updating models in IoT environments
-
Hands-on Activity: Deploying and updating AI models on Arduino-based IoT devices through Azure services
Module 7
Capstone Project
3 hours
-
Collaborative project work applying AI concepts, Arduino, and Azure IoT
-
Design, implement, and present an IoT solution integrating AI using Arduino and Azure services
就業遠景
完成家族辦公室課程後，可從事專業化的金融與非金融服務，包括：投資管理、財務規劃、信託、遺產和稅務規劃、慈善投資等。
bottom of page