Course Overview Print

In today’s data-driven workplace, organizations are increasingly seeking employees who can harness Artificial Intelligence (AI) to transform data into meaningful insights and drive operational improvements. This course equips participants with the practical knowledge and skills to identify and use AI tools for collecting, extracting, interpreting, and analysing business data, enabling more informed and efficient decision-making. Through hands-on activities and real-world business scenarios, participants will learn how AI technologies can streamline data-related tasks, uncover trends and patterns, and support continuous improvement initiatives across various operational functions. The course also explores how AI-driven applications can be applied to enhance productivity, optimize processes, and improve organizational effectiveness.

Learning Outcomes:

  • Identify AI tools to collect, extract, and interpret business data to support operational improvements.
  • Apply AI-driven application based on data insights to improve operational effectiveness.

Course Outline

Module 1: Overview of AI Tools for Collecting, Extracting and Interpreting Business Data

Module 2: Using ChatGPT to Extract Key Business Data

Module 3: Using DeepSeek and Google AI to Research and Interpret Business Data

Module 4: Using Copilot to Generate Data Insights and Improve Work Processes

Module 5: Using AI Image and Video Tools to Communicate Operational Insights

Target Audience and Pre-requisites

Business professionals, operations and administrative staff, business analysts, and team leaders who want to use AI tools to collect, extract, and interpret business data, improve work processes, and communicate operational insights. It is suitable for individuals seeking practical ways to apply AI to everyday business tasks and decision-making.

Prerequisites

Basic proficiency in using computer applications and navigating software tools.

 Participants should have at 1 month of working experience, basic computer literacy.

Minimum education level. Secondary

SWDA Funding Requirements

  • Trainees must scan their attendance twice daily using the SingPass application.
  • Trainees must attain at least 75% attendance.
  • Trainees must pass the in-house assessment to be eligible for funding.
  • Trainee and/or sponsoring company is/are required to meet all SWDA-mandated eligibility criteria and requirements for funding.  For more information, please refer to SkillsFuture homepage.

Appeal Policy and Procedure

  • As a candidate in this course assessment, you may appeal your results if you disagree with them.
  • To do so, submit your written appeal request via email to esv_comat_cse@stengg.com within 3 working days from date of assessment.

Cancellation, Postponement and Refund Policy

  • Request for cancellation or postponement must be submitted in writing more than 4 weeks before the class start date to avoid any charges.
  • Written notice for cancellation or postponement received 2 to 4 weeks before class start date will incur Late Cancellation Charge - 50% of course fee.
  • Written notice for cancellation or postponement received less than 2 weeks before class start date will incur Late Cancellation Charge - 100% of course fee.
  • If payment has been made and ST Engineering e-Services Pte Ltd accepts the trainee's written notification to cancel or withdraw from the course, ST Engineering e-Services Pte Ltd will issue a refund, less any applicable Late Cancellation Charges.

Feedback Policy and Procedure

  • You may submit feedback via email to esv_comat_cse@stengg.com or your servicing Account Manager.
  • Any formal feedback will be handled within 10 working days from receipt with a written reply given.  An interim reply will be provided should more time be required.
*Important Note : Fees are subject to Singapore's prevailing Goods and Services Tax (GST).

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