Introduction to Generative Artificial Intelligence (AI)
Description
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.
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.
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
What you'll learn
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
Requirements
Participants are required to bring a laptop that can connect to the WiFi
Basic Writing Skills
Learning Outcomes
Understand the concept of Artificial Intelligence (AI), Generative AI and real-world application of Generative AI.
Apply generative AI models and popular tools (E.g. ChatGPT and Stable Diffusion) effectively) effectively.
A. Knowledge and Understanding (Theory Component)
By the end of this course, participants should be able to:
B. Key Skills (Practical Component)
By the end of this course, participants should be able to:
Schedule
Welcome and Course Overview
Understanding Artificial Intelligence
Introduction to Generative AI
GPT (Generative Pre-trained Transformer)
GPT (Generative Pre-trained Transformer)
Diffusion Models
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
Hands-On Activity 1: Prompt Engineering with ChatGPT
Hands-On Activity 2: Generating Images with Stable Diffusion
| Time | Agenda |
|---|---|
| 09:00 - 10:30 | Introduction to Artificial Intelligence (AI) and Generative AI |
| 10:30 - 10:45 | Break |
| 10:45 - 12:00 | Modern Generative AI Models: Architecture and Functionality |
| 12:00 - 13:00 | Lunch |
| 13:00 - 15:00 | Case Studies - Real-World Business Applications of Generative AI |
| 15:00 - 15:15 | Break |
| 15:15 - 17:00 | Capstone projects |
Instructor
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President of Sales