WSQ - Pearson Vue Certified IT Specialist - Artificial Intelligence

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)

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

• 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

Ken Hiong: 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.