匯智豐教育中心有限公司

Certified Artificial Intelligence Professional

立即查詢
  • 可獲發證書

課程資料

時間表
  • 2026年7月21日(週二) 下午 7:00 - 下午 10:00
報名日期
2026年7月14日(週二) - 2026年7月20日(週一)
價錢
HKD 16,000
(Course Fee: HKD16,000 (includes exam fee of HKD4,000))
課程級別
學習模式
修業期
27 小時
教學語言
廣東話
地點
Unit A, 20/F, Success Commercial Building, 245-251 Hennessy Road, Wanchai, Hong Kong
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。

課程簡介

An Artificial Intelligence (AI) Professional is a specialist equipped with the knowledge and skills to design, implement, and manage AI systems that drive innovation and efficiency across various industries. AI professionals combine technical expertise in areas like machine learning, deep learning, natural language processing, and computer vision with strategic insights to ensure the ethical and responsible deployment of AI solutions.

Key Responsibilities of an AI Professional:

  • Data Analysis: Preparing, cleaning, and transforming data to ensure the quality of AI outputs.
  • AI Systems Development: Building AI models using machine learning algorithms, neural networks, and data-driven approaches.
  • AI Risk Management: Identifying and mitigating risks such as bias, privacy concerns, and compliance issues.
  • Strategic Alignment: Integrating AI solutions into organizational strategies to maximize business impact.
  • Ethical AI Deployment: Ensuring AI systems uphold principles of fairness, accountability, and transparency.

By excelling in these areas, AI professionals play a crucial role in advancing organizational goals while promoting responsible innovation.

By the end of this training course, the participants will be able to:

  • Explain the foundational principles of AI and its various applications.
  • Conduct data analysis and create meaningful visualizations to support AI projects.
  • Apply machine learning techniques to real-world problems, including supervised, unsupervised, and reinforcement learning.
  • Implement simple neural network and advanced deep learning architectures such as CNNs.
  • Understand NLP systems and Computer Vision methodologies.
  • Understand robotics and expert systems for AI-driven automation.
  • Identify and mitigate AI risks while ensuring compliance with regulations.
  • Develop ethical AI strategies aligned with organizational values and societal needs.

課程內容

  • Fundamental concepts and principles of artificial intelligence
  • Data analysis and Visualization
  • Building Machine Learning models
  • Concepts of Deep Learning and NLP
  • Knowledge and application of Computer Vision, Robotics and Expert System
  • AI Risk, Privacy and Compliance
  • AI Ethics, Governance , Strategy


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