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WSQ - Pearson Vue Certified IT Specialist - Artificial Intelligence

Sessions 2 days
Duration 16 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Artificial Intelligence Application
TSC Code: AER-TEM-3026-1.1

By end of the course, learners should be able to:

LO1: Implement AI applications by integrating data management principles and fundamental AI concepts to address real-world challenges.
LO2: Deploy AI workflows using machine learning techniques and software development methodologies to optimize performance and accuracy.
LO3: Identify and report issues in AI applications by analyzing implementation procedures and evaluating collected data.

Download Course Brochure

Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

Take Free Certificate Practice Exams at exams.tertiaryinfotech.com.

You can also purchase Certificate exam vouchers at exams.tertiaryinfotech.com.

WSQ - Pearson Vue Certified IT Specialist - Artificial Intelligence

Course Code: TGS-2025054471

WSQ
SkillsFuture Credit
PSEA
UTAP
SFEC
Absentee Payroll
MCES

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The WSQ Pearson VUE Certified IT Specialist Artificial Intelligence course provides comprehensive training in AI implementation, model deployment, and data management. Participants will learn to identify AI problem areas, classify problems, and ensure ethical and secure AI application. The course covers data collection, processing, and engineering techniques, including feature selection, quality assessment, and dataset preparation for AI training.

Through hands-on practice, you will explore AI algorithms, model training, performance evaluation, and bias detection to enhance AI application accuracy. The course also focuses on AI system deployment, integration, and monitoring to ensure optimal performance in production environments. With a strong emphasis on transparency, security, and regulatory compliance, this certification prepares professionals for real-world AI challenges.

Full Fee ₵900.00 Before GST

GST ₵81.00 9% of fee

Baseline Nett ₵531.00 SG/PR age 21+ · 50% funded

MCES / SME Nett ₵351.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2025054471)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us.

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: AI Problem Definition

Identify the problem you are trying to solve using AI
Classify the problem
Identify the areas of expertise needed to solve the problem
Build a security plan
Ensure that AI is used appropriately
Choose transparency and validation activities

Topic 2: Data Collection, Processing, and Engineering

Choose the way to collect data
Assess data quality
Ensure that data are representative
Identify resource requirements
Convert data into suitable formats
Select features for the AI model
Engage in feature engineering
Identify training and test datasets
Document data decisions

Topic 3: AI Algorithms and Models

Consider applicability of specific algorithms
Train a model using the selected algorithm
Select specific model after experimentation
Tell data stories
Evaluate model performance
Look for potential sources of bias in the algorithm
Evaluate model sensitivity
Confirm adherence to regulatory requirements
Obtain stakeholder approval

Topic 4: Application Integration and Deployment

Train customers on how to use the product and what to expect
Plan to address potential challenges of models in production
Design a production pipeline, including application integration
Support the AI solution

Topic 5: Maintaining and Monitoring AI in Production

Engage in oversight
Assess business impact
Measure impacts on individuals and communities
Handle feedback from users
Consider improvement or decommission on a regular basis

Final Assessment

Written Assessment - Short Answer Questions (WA-SAQ)
Practical Performance (PP)

Written Exam
Practical Exam

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

AI Engineer
Machine Learning Engineer
Data Scientist
AI Solutions Architect
AI Researcher
Business Intelligence Analyst
AI Ethics Consultant
IT Specialist – AI
AI Project Manager
Automation Engineer
Cloud AI Engineer
Data Engineer
AI Developer
AI Consultant
Predictive Analytics Specialist
Software Engineer – AI
AI Systems Analyst
Robotics Engineer
Cybersecurity AI Specialist
AI Product Manager

Trainers

Ken Hiong is a ACTA certified trainer. Ken has over 20 years of work experience in the healthcare and pharmaceutical industry, having assumed various functional and managerial roles in sales, marketing, business development, finance, business analysis and planning. With an interest and experience in scripting, Ken has worked on projects using HTML, CSS, PHP, MySQL, WordPress, MS Office, VBA, Power BI, etc. Notably, Ken is a proven expert Excel user at work who has made efficient many work processes, improved data analysis and enhanced the quality of business planning and reporting for organizations. Ken graduated with a Pharmacy degree, holds a Master of Business Administration from the National University of Singapore and a Master of Applied Finance from the University of Adelaide. An ardent advocate of lifelong learning, Ken is ACTA trained and seeks to continually upgrade his IT skills through various channels of learning and Microsoft certifications. With MS Office Master qualification, Ken looks forward to assisting individuals and corporations improve their computer skills, productivity and business outcomes.

Dr. Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Peter Goh is a ACTA certified trainer. Peter Goh is the Technology Evangelist at Disruptive Digital, a full-service digital agency based in Singapore, offering innovative & effective web and native mobile application development. He specializes in bleeding edge software development and have more than 10 years' experience in developing customized applications for desktop, web and mobile platforms. He has extensive domain knowledge in .Net and Java programming, iOS development and has helped many to create e-commerce web sites on Amazon AWS and Microsoft Azure.

Mohamed Afiq is a ACTA certifed trainer. Mohamed Afiq startup CTO for 3 years building proprietary delivery system from scratch and then managing a team of 20 developers. He builted multiple web apps using MEAN or similar stacks. He is also a founder and sole developer for PlayTours: https://playtours.app/ . He leads instructor at CodeNinja, teaching coding to kids 9-16 years old and teach adults front-end and back-end for web development.