WSQ AI Applications Courses

AI creates value when it is applied to a real business problem — screening candidates, detecting fraud, forecasting demand, reading medical or scientific data, personalising a storefront. Our WSQ AI Applications Courses are organised around exactly that: the industries and business functions where AI is already in production, and what it takes to deploy it there responsibly.

The catalogue spans financial services (machine learning for trading, financial data mining and modeling, deep learning and analytics for financial services, AI-assisted Python for finance, generative AI for finance and fintech), healthcare and life sciences (data analytics and AI for healthcare, AI for life science and bioinformatics), business functions such as HR, recruitment, product development and eCommerce, and broad business innovation and transformation with AI.

Alongside the applied tracks sit the technical foundations these applications rest on: machine learning and data mining fundamentals, computer vision, text mining and analytics, pattern recognition, reinforcement learning, PyTorch, and model development and fine-tuning. Recognised cloud AI certifications complete the picture — Microsoft Azure AI, AWS AI and machine learning, and Google Professional Machine Learning Engineer — for professionals who want a credential alongside the capability.

What you will learn

  • Applying AI and machine learning to finance, healthcare, life sciences, HR, retail and eCommerce
  • Core techniques - machine learning, data mining, computer vision, NLP and text analytics, reinforcement learning
  • Building, fine-tuning and evaluating models with PyTorch and modern AI toolchains
  • Identifying high-value AI use cases and building the business case for adoption
  • Deploying AI responsibly within regulatory and governance expectations
  • Preparing for Microsoft Azure AI, AWS AI/ML and Google Machine Learning Engineer certifications

Who should attend

Business and data analysts, finance and banking professionals, healthcare and life-science practitioners, HR and marketing professionals, IT and engineering staff moving into AI, and managers responsible for AI adoption in their function. Courses range from business-level to hands-on technical.

Funding

These are WSQ, CASL and IBF funded courses. Eligible Singaporeans and PRs can enjoy SkillsFuture funding subsidies, and SkillsFuture Credit may be used to offset the nett course fee. IBF-accredited courses carry IBF funding for eligible finance-sector participants. Company-sponsored participants may also be eligible for SkillsFuture Enterprise Credit (SFEC) and absentee payroll. Please refer to each course page for the schemes that apply.

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  • WSQ - AWS Certified Machine Learning Engineer Associate Training

    • WSQ
    • SFC
    • PSEA
    • UTAP
    • SFEC
    • Absentee Payroll
    • MCES
    1 Review(s)
    The WSQ AWS Certified Machine Learning Engineer Associate Training equips you with essential skills to handle machine learning projects on AWS platforms. You will learn to validate and prepare data for ML, ensuring accuracy, cleanliness, and integrity. The course covers key machine learning methodologies and metrics to develop and refine effective ML models. You will also explore AWS tools and software to deploy mach....
    $1,500.00 (GST-exclusive)
    $1,635.00 (GST-inclusive)

    before funding and GST

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