Equinet Academy
Build Smart Workflows with AI and ML Tools
Course Description
What is This Course About?
This course provides a practical, business-focused introduction to AI and Machine Learning for non-technical professionals. Through hands-on activities and real-world case scenarios, learners will explore key concepts like algorithmic predictions, generative content, and pattern recognition using no-code AI tools.
Learners will gain the skills to interpret AI outputs, evaluate tool capabilities, and identify how AI can streamline workflows, enhance decision-making, and solve workplace challenges.
Target Audience
Made for the BOLD!
This course is suitable for professionals working in operations, marketing, project coordination, or digital initiatives who are keen to explore practical uses of AI tools in their work. It is relevant for individuals tasked with improving efficiency, experimenting with automation, or making sense of AI tool outputs in business contexts.
Prerequisites
What You’ll Need to Get Started
Participants should be familiar with basic digital tools (e.g. Google Workspace, Microsoft Office) and be open to experimenting with simple AI platforms like chatbots or Teachable Machine. No coding experience is required.
Course Highlights
What You’ll Learn
In this AI and Machine Learning course, you will:
- Learn the fundamentals of AI and ML and how they apply to business tasks
- Explore supervised and unsupervised learning models through demos and peer practice
- Use AI tools such as chatbots and Teachable Machine to automate tasks
- Assess the feasibility of using AI in workplace projects
- Apply structured prompts and interpret AI-generated outputs
Course Objectives
What You’ll Takeaway
By the end of this course, learners will be able to:
- Define Generative AI and explain its workplace applications, including the strengths and limitations of AI outputs
- Analyse how algorithm design impacts business process efficiency, and differentiate suitable use cases where AI or ML applications can enhance outcomes
- Apply AI tools such as chatbots or classifiers to automate routine tasks, and assess how these tools can improve process outcomes
- Interpret AI-generated performance outputs such as confidence scores or predictions, and assess their business relevance and limitations
- Evaluate and compare Artificial Intelligence (AI) applications based on workflow compatibility, data readiness, and effectiveness, and communicate suitable solution options to stakeholders
Skills Gained:
Practical AI & ML Fundamentals
Gain a working understanding of the key concepts behind artificial intelligence and machine learning — including supervised and unsupervised learning, algorithmic predictions, and business applications of AI.
No-Code AI Tool Fluency
Develop the ability to use no-code/low-code AI tools (such as chatbots, classifiers, automatic content-generation platforms) to automate routine tasks and prototype intelligent workflows.
Interpret & Use AI Outputs
Learn to interpret AI model outputs (confidence scores, predictions, classifications), assess their relevance and limitations, and derive actionable insights for business decision-making.
Identify & Assess AI Use Cases
Acquire the skill of spotting workplace opportunities where AI/ML may deliver value, evaluating data readiness and workflow fit, and communicating solution options to stakeholders.
Adopt AI Responsibly & Collaboratively
Become equipped to collaborate across teams in adopting AI tools — including understanding their strengths/weaknesses, ensuring alignment with business goals, and scaling AI-powered solutions.
Certification Track
Level up!
Get certified. Get noticed. Get ahead.
A SkillsFuture WSQ Statement of Attainment (SOA) – Artificial Intelligence Application in Product Development under the Skills Framework TSC and Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the WSQ AI and Machine Learning course assessment and achieved at least 75% attendance.
Course Code: TGS-2025057879
Course Support Period: 08 Aug 2025 – 07 Aug 2027
Course Outline
Inside the course
This WSQ AI and Machine Learning course covers AI fundamentals, no-code AI tools, and practical business applications. Learn to identify AI use cases, automate workflows with chatbots and classifiers, interpret AI outputs, and evaluate AI solutions for real workplace scenarios.
Introduction to Artificial Intelligence and Machine Learning
- Definition and types of AI and ML
- Business applications of AI
- Benefits and limitations of AI tools
- Evaluating suitability of AI for workplace tasks
- Case studies: successful and failed implementations
Identifying AI Use Cases in the Workplace
- How algorithms work
- Business processes that benefit from automation
- Matching AI methods to workflow problems
- Comparing algorithm efficiency
- Mapping tools to departmental needs
Exploring Common AI and ML Tools
- No-code AI and ML tools
- Chatbots and guided automation
- Image classification walkthroughs
- Text generation demos
- Evaluating gains in efficiency
Interpreting AI Outputs and Making Business Decisions
- Confidence scores and output interpretation
- Common errors and AI limitations
- Post-output decision-making
- Aligning AI use with business goals
Collaborating on AI Solution Adoption
- Tool selection frameworks
- Stakeholder communication
- Planning implementation
- Ethical use and constraints
Assessment Component
- Written Exam
- Project
Trainers
Meet Your Educators
Trainer Bio
Tat Yuen
Tat Yuen is an ACLP-certified trainer and lifelong learner with over 30 years of experience in enterprise technology, spanning early systems through to modern cloud platforms. He now focuses on helping learners understand and use AI in practical, everyday contexts. Drawing on decades of experience translating complex ideas for diverse audiences, he teaches coding, AI literacy, and technology adoption with clarity and relevance. His goal is to empower students and professionals to engage thoughtfully and confidently with AI in their daily work and lives.
Course Fee & Funding
Fund Your Brain Gain
Access funding opportunities and resources designed to fuel your learning goals.
Course Fee After Eligible SSG Subsidies:
From S$297.00 after SSG Subsidies
Full Course Fee (without funding)
S$990.00
Course Schedule
Mark Your Calendar!
Discover course schedules crafted with you in mind, structured for balance, driven by your goals, ready for action.
| Learning Mode | Course Dates | Duration | Trainer |
|---|---|---|---|
| In-Person | 14, 15 May 2026 (Thu, Fri) | 9:00am - 6:00pm | |
| In-Person | 11, 12 Aug 2026 (Tue, Wed) | 9:00am - 6:00pm | |
| In-Person | 08, 09 Oct 2026 (Thu, Fri) | 9:00am - 6:00pm | |
| In-Person | 26, 27 Nov 2026 (Thu, Fri) | 9:00am - 6:00pm |
Click on the course dates above to register online.
Frequently Asked Questions (FAQs)
The Need-to-Know Stuff, Fast
Everything you need to know about the course. Can’t find the answer you’re looking for? Please contact our friendly team.
This course is ideal for professionals in operations, marketing, digital transformation, or project coordination who want to explore AI and ML for productivity and decision-making improvements.
No. This course is designed for non-technical professionals and focuses on no-code AI and ML tools.
Learners will work with tools such as chatbots, Teachable Machine, and other simple AI-powered automation and content-generation platforms.
Yes. The course introduces key AI and ML fundamentals, supervised and unsupervised models, and practical use cases.
Absolutely. The course includes demos, exercises, and peer practice sessions with AI and ML tools.
You will be able to evaluate AI’s potential in your workflows, apply AI tools to automate tasks, and interpret AI outputs for better decision-making.
Brochure Download
See What’s Inside: Get the Brochure
Explore the course outline, key topics, and learning outcomes you will gain from this training.
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