Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing.
Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.
Course Details
Course Details
What You'll Learn
Topic 1: Understanding Service Branding and Its Business Impact
Role of service branding in an organization’s branding strategy
Importance and benefits of service branding initiatives
Impact on business performance and competitive advantage
Topic 2: Developing an Appreciation for Service Branding
Exploring real-world examples of service branding success
Identifying how service branding creates a competitive advantage
Appreciating service branding’s role in market differentiation
Topic 3: Service Branding Communication Strategy & Customer Experience
Understanding an organization’s branding strategy and its role in service branding
Frameworks for developing and implementing a service branding strategy
Strategies to champion service brand adoption
Differentiating service brands for a competitive advantage
Topic 4: Evaluating the Impact of Service Branding Initiatives
Methods for evaluating service branding effectiveness
Measuring the impact on business performance
Key metrics for assessing branding success
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 21-65 years old
Minimum Software/Hardware Requirement
Software:
You can download and install the following software:
Hardware: Windows and Mac Laptops
Job Roles
Job Roles
- Brand Manager
- Marketing Director
- Customer Experience Manager
- Business Development Manager
- Service Branding Consultant
- Digital Marketing Specialist
- Public Relations Executive
- Corporate Communications Manager
- Product Marketing Manager
- Market Research Analyst
- Advertising Strategist
- Sales and Marketing Manager
- Social Media Marketing Manager
- Content Marketing Strategist
- Customer Success Manager
- Entrepreneur / Business Owner
- UX/UI Designer (Brand Experience)
- Retail Marketing Manager
- Franchise Development Manager
- Loyalty Program Manager
Trainers
Trainers
Review
Customer Reviews (44)
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. (Posted on 9/22/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 9/22/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Need more days to have more time for hands on (Posted on 9/22/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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, (Posted on 9/22/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 9/22/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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