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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
此課程是展示机器学习和 AI 概念以及相关 Microsoft Azure 服务知识的机会。 此考试的考生应熟悉考试 AI-900 的自定进度或讲师引导式学习材料。
该課程面向具有技术和非技术背景的考生。 不需要数据科学和软件工程经验。 但是，了解以下内容会让你受益匪浅：
基本云概念
客户端-服务器应用程序
Azure AI Fundamentals 可用于准备其他基于 Azure 角色的认证，例如 Azure Data Scientist Associate 或 Azure AI Engineer Associate，但这不是其中任何一个的先决条件。
Module 1
Introduction to AI
2 hours
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Overview of AI concepts and its applications
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Understanding the history and evolution of AI
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Exploring the types of AI (Narrow vs. General AI)
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Hands-on Activity: Introduction to AI tools and platforms (Microsoft Azure AI Services)
Module 2
Machine Learning Basics
4 hours
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Introduction to machine learning concepts
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Supervised, Unsupervised, and Reinforcement Learning
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Algorithms and models in machine learning
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Hands-on Activity: Building a simple machine learning model using Azure ML Studio
Module 3
Azure AI Services
6 hours
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Overview of Microsoft Azure AI Services
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Azure Cognitive Services (Vision, Speech, Language, Decision, etc.)
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Azure Machine Learning Service
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Hands-on Activity: Using Azure Cognitive Services for image recognition or natural language
processing tasks
Module 4
Data and AI
4 hours
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Importance of data in AI
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Data preprocessing and feature engineering
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Data types and sources for AI
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Hands-on Activity: Data preparation and feature engineering using Azure tools
Module 5
Ethics and Responsible AI
2 hours
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Understanding the ethical considerations in AI
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Bias and fairness in AI models
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Responsible AI practices
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Hands-on Activity: Evaluating AI model fairness and bias mitigation techniques
Module 6
AI Implementation and Deployment
4 hours
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Deployment strategies for AI models
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Model evaluation and deployment considerations
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Monitoring and maintaining AI solutions
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Hands-on Activity: Deploying a trained model on Azure and setting up monitoring tools
Module 7
Review and Practice
2 hours
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Recap of key concepts and tools covered in the course
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Practice tests and quizzes for AI-900 Exam preparation
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Q&A and discussion session
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。
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