The Knowledge Academy

Artificial Intelligence (AI) For IT Professionals (AI4IT) - Hong Kong

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Course Information

  • 24 Dec 2021 (Fri) 9:00 AM - 5:00 PM
  • 7 Jan 2022 (Fri) 9:00 AM - 5:00 PM
  • 21 Jan 2022 (Fri) 9:00 AM - 5:00 PM
Registration period
24 Sep 2021 (Fri) - 23 Dec 2021 (Thu)
HKD 16,495
Course Level
Study Mode
1 Day(s)

Course Overview


There are no prerequisites for attending this course. However, basic knowledge of statistics and programming will be beneficial.

Who should attend?

This course is designed for IT Professionals.

Artificial Intelligence (AI) for IT Professionals Course Overview

Artificial Intelligence (AI) is the science of creating machines that work intelligently. It is accomplished by analysing how the human brain functions during problem-solving and uses the results as the base of developing intelligent software and systems.

This Artificial Intelligence course for IT Professionals will provide delegates with an in-depth understanding of AI and its applications. Delegates will learn about the building blocks of AI and the differences between AI, machine learning, and deep learning.

In addition, this 1-day course will also provide delegates with knowledge on how to train AI. Delegates will become familiarised with AI use cases in information management and human supervision of AI. They will also learn how to implement AI in an organisation. By the end of this course, you will have learned about various implementation areas for AI including voice recognition, computer vision, neural networks, robotic process automation, and more.

What's included

  • The Knowledge Academy's Artificial Intelligence (AI) for IT Professionals Training Course Manual
  • Experienced Instructor
  • Certificate


What You’ll Learn

Artificial Intelligence (AI) for IT Professionals Course Outline

Introduction to Artificial Intelligence (AI)

Building Blocks of AI

  • Machine Learning
  • Deep Learning

AI vs. Machine Learning vs. Deep Learning

How to train AI?

Implementing AI in an Organisation

  • Identify AI Opportunities
  • Develop an AI Roadmap
  • Identify AI Solutions
  • Identify Data Requirements

AI Use Cases in Information Management

Case Studies

(Human) Supervision of AI

Implementation Areas of AI

  • Voice Recognition
  • Natural Language Generation (NLG)
  • Virtual Assistants
  • Cognitive Computing
  • Computer Vision
  • Recommendation Systems
  • Natural Language Processing
  • Neural Networks
  • Robotic Process Automation
  • Machine Learning Platform
  • Predictive Analysis
  • Biometric Recognition
  • Image Analysis
  • Deep Learning Platforms
  • Quantum Computing
  • Decision Making and Management
  • Hardware Optimisation

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