NTUC LearningHub

Course Objectives

 

  • Understand the principles and concepts of generative AI
  • Identify and evaluate the potential use cases of generative AI in their respective industries
  • Understand the limitations and ethical considerations of generative AI
  • Develop and use basic generative AI models using tools such as ChatGPT
  • Learn from relevant case studies of generative AI applications in various industries

 

Pre-requisites

 

  • No technical background is required for this course, but participants should have a basic understanding of artificial intelligence concepts.
  • Hardware & Software
    This course will be conducted as a Virtual Live Class (VLC) via Zoom platform. Participants must own a zoom account and have a laptop or a desktop with “Zoom Client for Meetings” installed. This can be downloaded from https://zoom.us/download

System Requirement

Must-have:

Please ensure that your computer or laptop meets the following requirements.

  • Operating system: Windows 10 or MacOS (64 bit or above)
  • Processor/CPU: 1.8 GHz, 2-core Intel Core i3 or higher
  • Minimum 20 GB hard disk space
  • Minimum 8 GB RAM
  • Webcam (camera must be turned on for the duration of the class)
  • Microphone
  • Internet Connection: Wired or Wireless broadband
  • Latest version of Zoom software to be installed on computer or laptop prior to the class.

Good-to-have:

  • Wired internet connection
    Wired internet will provide you with stable and reliable connection.
  • Dual monitors
    Using a dual monitor setup will undoubtedly improve your training experience, enabling you to simultaneously participate in hands-on exercises and maintain engagement with your instructor.

Not recommended:
Using tablets are not recommended due to their smaller screen size, which could cause eye strain and discomfort over the course of the program's duration.

 

Course Outline

 

Module 1: Introduction to Generative AI

  • Overview of generative AI and its potential applications
  • Real-world applications and use cases for business professionals
  • The future of generative AI and its potential impact on industries
  • Understanding the different types of generative AI models and how they work

Module 2: Generative Text: Content Creation with ChatGPT

  • Understanding the concept of generative text and its applications in different industries
  • Text generation, summarization, and personalization
  • Using ChatGPT for qualitative insights in data analysis

Module 3: Generative Text: Prompt Engineering for Effective Communication

  • Principles of effective prompt design
  • Techniques for crafting high-quality prompts
  • Tailoring prompts for specific business use cases

Module 4: Image Generation with DALL-E, Stable Diffusion and GANs

  • Overview of Generative AI for Image Generation
  • Understanding how to use Generative AI for Image Generation
  • Using Generative AI for image generation in advertising and e-commerce

Module 5: Generative Media: Audio and Video

  • Overview of Generative AI for audio and video synthesis
  • Using Audio and Video Synthesis for Marketing & Advertising
  • Generating lifelike avatars using Generative AI Tools

Module 6: Leveraging Generative AI for Market Research

  • Identifying trends and opportunities with AI-driven analysis
  • Enhancing customer segmentation and targeting
  • Gathering and analyzing consumer feedback with ChatGPT

Module 7: Ethical Considerations and Future Implications

  • Responsible AI usage for non-technical professionals
  • Privacy and data protection concerns
  • The evolving landscape of jobs and the future of work
  • Job displacement and creation due to AI advancements

Module 8: Case Studies

  • Overview of recent developments and advancements in generative AI
  • Review of relevant case studies of generative AI applications in different industries
  • Q&A session

Hands-on Workshops
This course features hands-on workshops for a practical learning experience.

 

Certificate Obtained and Conferred by

 

Certificate of Achievement from NTUC LearningHub will be issued to participants who have met at least 75% attendance and passed the prescribed assessment(s).

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