Course Details
Course Details
What You'll Learn
Topic 1: Introduction to AI Digital Humans for Business and Education
Overview of AI digital human technology
Strength and limitations of using AI digital human technology
Industry use cases of using AI digital human technology
Tailoring AI digital humans for sector-specific needs.
Designing an AI digital human on various AI platforms
Topic 2: Analyze AI Digital Humans for Various Use Cases
Core principles of AI algorithm design tailored for educational and business use cases.
Analyzing AI digital humans for diverse educational and business use cases – strength and limitations
Case studies: Efficiency improvement using AI digital humans.
Topic 3: Designing and Implementing AI Digital Humans
Enhancing AI digital humans’ capabilities
The efficiency-accuracy tradeoff in AI digital humans’ algorithms.
Balancing automation with human-centric values.
Ensuring ethical AI practices using AI digital humans.
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: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- AI Digital Human Specialist
- AI Application Developer
- AI Solutions Architect
- Human-Machine Interaction Designer
- AI Project Manager
- Educational Technology Specialist
- Digital Transformation Consultant
- AI Integration Specialist
- Business Intelligence Analyst
- Customer Experience Manager (CX Manager)
- AI Algorithm Engineer
- Learning and Development (L&D) Consultant
- AI Usability Analyst
- Service Automation Specialist
- AI Compliance and Ethics Officer
- Innovation and Technology Manager
- AI Product Designer
- AI-Driven Customer Support Manager
- Digital Learning Designer
- AI Performance Analyst
Trainers
Trainers
Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products
Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.
Dr. Alfred Ang is a ACTA certified trainer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.
Review
Customer Reviews (1)
- will recommend Review by Course Participant/Trainee
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The course was very fast paced and I ended the day exhausted. But after reviewing the codes, a lot of it become right away helpful for my work. Some concepts and applications for Arima and Prophet are still not super clear to me, but I now know how to apply them to my data and will backtest from there. The backtest sample at the end of the teachers code is very helpful, it would deserve some actual lesson time.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
Zoom is not ideal, unless you have access to two screens. But woodlands is also super far for a lot of people , maybe you could consider face to face class in some other places like Starbucks for those classes with very few students?
(Posted on 9/8/2022)
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