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Mainland Courses
Venues
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* HKPC Live Studio
* Conference Hall
* Theatre 1
* Theatre 2
* Standard Classrooms
* Computer Rooms
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* HKPC Facilities Rate Card
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* FutureSkills: AI Strategies for Business
FutureSkills: AI Strategies for Business
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Course Code : 10012721-15
Location : HKPC Building 78 Tat Chee Avenue Kowloon
Commencement Date: 2022-12-02
Enquiry : Ms. CHEUNG - 2788-5013 | Ms. YU - 2788-5029
Email : maggiecheung@hkpc.org
Enquiry Print
Apply Now
PROGRAMME HIGHLIGHTS
* A practical workshop for any non-technical business executives who wants to:
– acquire AI knowledge;
– drive AI across the company;
– lead & manage AI initiatives
LEARNING OUTCOMES
By taking this course, you will be able to
* Gain solid understanding of AI, Machine Learning and the opportunities for
your organisation
* Craft your AI journey for business transformation, from strategy and
capabilities to project execution and monitoring
* Key learning:
– Project Management in AI
– AI Project Deployment Skillset
– AI Business Use Cases in Video/Image Recognition
– AI Use Cases in Business Document Automation and Analytics
– AI Use Cases in Sound And Audio Classification
– AI in Energy Saving, Facility Monitoring, Building Services
COURSE FEE – RTTP APPROVED
HK$4,800/ HK$4,320*
*Group discount for 2 or more
For RTTP applicants: HK$1,600# (Original price: HK$4,800)
#Maximum saving, with the final grant subjects to approval.
This course is an approved Reindustrialisation and Technology Training Programme
(RTTP) with up to 2/3 course fee reimbursement upon successful applications. For
details: https://rttp.vtc.edu.hk.
DATE
2 & 5 Dec 2022 (Fri & Mon)
TIME
9:30 – 17:00
DURATION
Total 12 lecture hours
MEDIUM
Cantonese
(supplemented by English and with English handouts)
AWARD OF CERTIFICATE
A Certificate of Attendance will be awarded to participants who have attended
75% or above of the training session.
COURSE STRUCTURE
Part I – Strategy and Project Management
1. Transforming Your Business A. Trends of Emerging Technology (AI, Big Data,
IoT, Cloud, Blockchain)
B. Challenges and Business Opportunities
C. Essential Components of Digital Transformation2. Formulating Corporate AI
StrategyA. Project Management Basics
B. Concepts in Data Science Process
C. Data Cleansing, Validation and Transformation
D. Common Tools
E. Privacy and Security
F. Build your AI Strategy & Capabilities
G. Use Case Sharing3. Project Management & Deployment Techniques in AIA.
Resources Estimation
B. Workload Estimation of Unstructured and Structured Data
C. Skills of Project Team and Operation Team4. Introduction to Artificial
IntelligenceA. Introduction to Big Data & Analytics
B. Introduction to AI & History
C. Examples in Deep Learning
D. AI Applications in Computer Visions
E. AI Applications in Face and Gesture Recognition
F. AI Applications in Object Detection
G. AI Applications in Activity Recognition
H. AI Applications in Image Generation
I. AI Applications in Robotic Controls
J. AI Natural Language Processing
K. GPU and Hardware in AI
Part II – Real Commercial & Government Use Cases
5. Commercial Use Cases – AI Image and Video RecognitionA. Principles of AI
Image Analytics
B. Use case: Face-related Detection and Recognition
C. Use case: Activity Recognition
D. Use case: Building and Facility Monitoring
E. Use case: People Traffic
F. Use case: Crowd Management
G. Use case: Document Imaging6. Commercial Use Cases – AI E&M Facility Energy
Saving and Preventive MaintenanceA. Introduction to AI in E&M Energy Saving
B. Examples in HVAC, Facilities and Pump
C. Introduction to AI in E&M Preventive Maintenance
D. Basic Concepts in Preventive Maintenance
E. Use Case Sharing7. Commercial Use Cases – AI Sound, Voice & Customer
ServiceA. Chatbot
B. Use Cases in Sound Classification for Vehicles
C. Use Cases in Voice-to-Text Technology
D. Use Cases in Voice-to-Voice Technology8. Case Studies in Commercial Cases
with Business Intelligence & AnalyticsA. Basic Concepts in Natural Language
Processing
B. Document Automation – Paperless Initiative
C. AI Automatic Document Data Retrieval
D. AI Automatic Document Data Textual Summarization
E. AI Sentiment Analysis
F. AI in Reading Comprehensive
Part III – Machine Learning – How it Works
9. Regression – From the Ground UpA. Machine Learning Basics
B. Training, Test & Validation Process
C. Over-fitting and Under-fitting
D. Principles in Perceptron
E. Impact of Data Cleansing and Data Transformation10. Neural Network Basics,
ANN, CNNA. Neural Network Basics
B. Neurons, Activation Functions, Optimisation & Loss11. Concepts in Image
Recognition and Speech RecognitionA. Convolutional Neural Network for Image
Recognition
B. Speech Recognition12. AI Textual – Natural Language ProcessingA. Principles
in Natural Language Processing
B. AI Chatbot, Sentiment Analysis
C. AI Document Management System
D. AI Knowledge Management System
E. AI High-Speed Searching Engine
TRAINER
Alan LEE has held senior management role in technology group, overseeing the
corporate strategy, product development and production management for more than
14 years. With strong IT background, he possesses practical project experience
on sophisticated analytics and large-scale global technology project management.
Mr LEE also has rich training experience in the design and delivery of digital
transformation training including AI, Big Data, Blockchain, etc.
Download Full Course Detail ▼
Apply Now
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