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.
-
WSQ - Microsoft Azure Data Scientist Associate (DP-100)
- WSQ
- SFC
- PSEA
- UTAP
- SFEC
- Absentee Payroll
- MCES
Unlock your potential in the world of data science with Microsoft Azure Data Scientist Associate (DP-100) course. This course provides a comprehensive overview of how to design and implement data science solutions on the powerful Azure platform. Whether you are a beginner or an experienced professional, this course will help you gain a deeper understanding of Azure's tools and techniques, enabling you to solve comple....$800.00 (GST-exclusive)$872.00 (GST-inclusive)before funding and GST
-
WSQ - AI Agents for Business
- WSQ
- SFC
- PSEA
- SFEC
- Absentee Payroll
- MCES
This WSQ AI Agents for Business course equips learners with the knowledge and practical skills to design, build, and deploy AI agents that automate business processes, improve productivity, and support intelligent decision-making. Participants will learn how AI agents combine large language models (LLMs), reasoning, planning, memory, and tool integration to perform business tasks autonomously while collaborating effe....$900.00 (GST-exclusive)$981.00 (GST-inclusive)before funding and GST