Digital Fluency CLaaS Generative AI

Generative AI

Generative AI (SF)
(Synchronous and Asynchronous E-Learning)

Duration and Delivery Mode:

Generative AI

Generative AI (SF)
(Synchronous and Asynchronous E-Learning)

Duration and Delivery Mode: Full-time

Course Brief

In the “Generative AI” module, learners will learn about different AI models and how they’re used in real life. We’ll start with the basics of these AI models, understanding how they work. We’ll also explore practical tools like ChatGPT, Copilot, and Power Virtual Agents from Microsoft. By using these tools, learner will discover how Generative AI can be applied in various ways, like research and creating content.

In this module, learners will explore the practical applications of ChatGPT and Microsoft 365 Copilot. They’ll uncover how ChatGPT is used in real life, such as in research, creating content, boosting business productivity, and assisting with customer support. Through hands-on experiences, participants will learn how to use AI tools like ChatGPT and Microsoft Copilot to craft engaging and interactive content. Furthermore, the module will equip learners with the skills to create functional ChatBots using Microsoft Power Virtual Agents and Copilot, facilitating smooth interactions with users.

By the end of this module, participants will have a solid grasp of AI models, as well as practical expertise in effectively utilizing ChatGPT, Copilot, and Microsoft Power VA for tasks like content creation, multimedia presentations, improving business productivity, and enhancing customer support.

Knowledge, Skill, Ability Summary

At the end of the course, you will be able to acquire the following:


  • Analyze the fundamentals and applications of generative AI models, including ChatGPT and Power Virtual Agents.
  • Understanding the fundamental principles of engineering to analyze, design, and construct various types of prompts for solutions.
  • Evaluate the use cases of generative AI models, such as content generation, research, business productivity, and customer support.
  • Examine the integration of external systems to enhance the functionality and capabilities of chatbots.
  • Assess the role and application of multimedia presentations in chatbot development and user engagement.


  • Integrate generative AI into diverse business processes with a deep understanding of features and functionalities.
  • Strategically implement and continuously optimize generative AI across sales, marketing, HR, and coding workflows
  • Proficiently craft clear, persuasive, and contextually relevant content using generative AI for diverse business communication needs.
  • Demonstrate ethical AI usage, ensuring compliance with regulations and responsible implementation in HR, decision support, and code collaboration.
  • Enhance analytical skills to assess AI performance, fostering continuous learning and adaptation for optimized outcomes in various business domains.
Versatile professional skilled in analyzing Generative AI opportunities, creating business productivity solutions with ChatGPT, designing effective prompts for improved functions, integrating Microsoft Copilot for enhanced productivity, and building customer support ChatBots with Microsoft Power Virtual Agents.”

Blended Learning Journey
(60.5 Hours)


18 Hours

Flipped Class

20 Hours

Mentoring Support
(Assignment Sync)

22 Hours

Mentoring Support
(Project Mentoring Sync)

0 Hours

Mentoring Support
(Project Implementation Async)

0 Hour


0.5 Hour

Module Summary

Other Information
  1. SSG Module Reference No: TGS-2023020397
  2. Module Validity Date: 31 Jan 2025
Module Session Plan

Target Audience & Prerequisite

Target Audience

  • Individuals seeking to acquire generative AI skills and transition into a career in prompt engineering.


  • Academic: Minimum O Level credit in Mathematics or Minimum one credit in Nitec in STEM
  • English Proficiency: Minimum IELTS 5.5 or its equivalent
  • Age: Minimum 21 years
  • Work Experience: Minimum 1 year in the relevant field

Graduation Requirements

Each learner must meet the following requirements to secure academic qualifications, and /or Statement of Attainment (SOA) from SSG
  • Minimum 75% attendance in all sessions.
  • Minimum pass grade in the summative assessment of each module


Academic Qualification NIL
Statement of Attainment
Agile WSQ Generative AI (SF)
  • ICT-DIT-4029-1.1: Text Analytics and Processing
Industry Skills Certification
EduCLaaS Job Role Certification
Digital Transformation Executive

Other Information

SSG Course Reference No:TGS-2023020397
Course Validity Date: 31 Jan 2025
Course Developer: Lithan Academy

Pricing & Funding