Fraud Blocker

Courses

Certificate in AI & Machine Learning Applications

Course Duration
2 days (14 hours Including 1 hour assessment)

Course Fee
S$1,417 (inclusive of GST), per participant

More Information

Medium of Instruction: English
Mode of training – Instructor-Led (Synchronous)
Pass Criteria: 20 MCQs (at least 70% achievement)

Venue:
20 Bendemeer Rd, #04-06 BS Bendemeer Centre, Singapore 339914

Course Objective

This instructor-led certification course provides a hands-on introduction to AI & Machine Learning (ML), with real-world case studies across industries. Participants will learn key concepts, tools, and applications of AI/ML, with interactive exercises and industry examples.

Learning Outcome

Day 1: Foundations & Industry Applications

Module 1 – Introduction to AI & Machine Learning

  • AI vs. ML vs. Deep Learning: Key Differences
  • Types of ML: Supervised, Unsupervised, Reinforcement Learning
  • Real-world AI applications across industries

Module 2 – AI in Finance & Insurance

  • Fraud detection (banking, claims)
  • Algorithmic trading & risk assessment
  • Chatbots & customer service automation
  • Case Study: AI-driven underwriting in insurance

Module 3 – AI in Healthcare & Retail

  • Predictive diagnostics & personalized medicine
  • AI in drug discovery & medical imaging
  • Recommendation engines (e-commerce, F&B)
  • Case Study: AI-powered inventory management in retail

Day 2: Advanced Applications & Implementation

Module 4 – AI in Manufacturing & Supply Chain

  • Predictive maintenance in manufacturing
  • AI-driven logistics optimization
  • Case Study: AI in food supply chain management

Module 5 – AI Ethics & Future Trends

  • Bias, fairness, and transparency in AI
  • Regulatory challenges (GDPR, AI governance)
  • Emerging trends: Generative AI (ChatGPT), Edge AI, AIoT

AI Workshop:

  • Teams design an AI solution (no coding required) for a real-world business problem (e.g., fraud detection, demand forecasting, customer personalization)
No Entry Requirements.
Classes
Schedules

Weekday Class (Day 1-2)

09:00 – 18:00

No Schedules Available

Weekend Class (Day 1-2)

09:00 – 18:00

No Schedules Available

Proceed to Register(Step 2)
Attendee Category

Important Note:
1. [Company Sponsored]: Company shall ensure there is employer-employee relationship and CPF contribution for employer-sponsored trainees. Should SDF grant disbursement be rejected due to wrong company / UEN provided to Avanta, the company shall be liable to pay the full course fees with out grant.
2. Registration is valid only if, each participant Mobile Number & Email address is provided (Shouldn't provide same contact details of Person in charge)

Company Details
Participant Details

Note: You can upload only two qualification details. And allowed maximum file size is 8 MB