Course

Introduction to Generative Artificial Intelligence (AI) (CET175)

Time limit: 1 day
1 credit

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Full course description

Dates: 4 December 2024
Duration: 1 day
Level: Beginner 
Venue: Singapore University of Social Sciences

Synopsis

Introduction to Generative Artificial Intelligence (AI) is a course that provides an overview of generative models and their applications in AI. By the end of the course, participants will be able to understand the concept of AI, Generative AI and their real-world applications. Participants will also learn how to effectively use generative AI models and popular tools such as ChatGPT and Stable Diffusion.

Who Should Attend

  • Individuals wanting to apply and use Generative AI responsibly
  • Individuals who want to tap into the power of Generative AI
  • Individuals who have no prior experience in Generative AI
  • Working professionals involved in digital transformation projects 

Topics

  • Introduction to Artificial Intelligence (AI) and Generative AI
  • Modern Generative AI Models: Architecture and Functionality
  • Real-World Business Applications of Generative AI
  • Prompt Engineering with ChatGPT
  • Image Generation with Stable Diffusion

Objectives

This introductory level course aims to teach adult learners what Generative AI is and how it is used. It also covers Generative AI tools such as MidJourney, OpenAI's ChatGPT and AIVA Technologies.

Learning Outcomes

A. Knowledge and Understanding (Theory Component)

By the end of this course, participants should be able to:

  • Understand the concept of Artificial Intelligence (AI), Generative AI and real-world application of Generative AI.

B. Key Skills (Practical Component)

By the end of this course, participants should be able to:

  • Apply generative AI models and popular tools (E.g. ChatGPT and Stable Diffusion) effectively) effectively.

Schedule

Time Agenda
09:00 - 10:30 Introduction to Artificial Intelligence (AI) and Generative AI
  • Welcome and Course Overview
  • Understanding Artificial Intelligence
  • Introduction to Generative AI
10:30 - 10:45 Break
10:45 - 12:00 Modern Generative AI Models: Architecture and Functionality
  • GPT (Generative Pre-trained Transformer)
  • GPT (Generative Pre-trained Transformer)
  • Diffusion Models
12:00 - 13:00 Lunch
13:00 - 15:00 Case Studies - Real-World Business Applications of Generative AI
  • Case Study 1: MidJourney - AI-Powered Artwork
  • Case Study 2: OpenAI's ChatGPT - AI Language Model for Customer Service
  • Case Study 3: AIVA Technologies - AI-Generated Music for Content Creators
15:00 - 15:15 Break
15:15 - 17:00 Capstone projects
  • Hands-On Activity 1: Prompt Engineering with ChatGPT
  • Hands-On Activity 2: Generating Images with Stable Diffusion
Wrap Up

*SUSS reserves the right to change the course dates, topics and trainers.

Assessments

  • Capstone project

Requirements

  • Participants are required to bring a laptop that can connect to the WiFi
  • Basic Writing Skills