Generative AI & Prompt Engineering Foundation

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StatusLive
Estimated time12-16 hours
PrerequisitesNone
Next stepsAI Learning paths
Growth, Digital Marketing

Welcome to our Generative AI Foundation learning path.  Given the emergence and rapid adoption of new tools such as ChatGPT, Large Language Models, Stable Diffusion image generators, and voice/music engines it is now possible for everyone to make creative content with high quality, quickly and at low cost.

In this learning path we address the following:

  • Definitions and Fundamentals of Generative AI
    Understanding how large language models work, including encoding, tokenization and attention
  • Prompt Engineering
    These are the instructions which you need to direct text, image and video generators to create high quality content
  • Text
    We introduce the text prompting maturity model as a fundamental building block and progress to learn prompting for multiple types of text content
  • Images
    This includes image generation from artworks to realistic avatars, while diving deeper into image generation techniques for products and advertisements
  • Sound and voice
    This includes voice to music generation and identifying areas for application in business
  • Video and mini-movies
    All the above elements can be combined to produce short videos of animated avatars performing a role or speaking a text
  • Software
    AI can now be used to generate the software or HTML type structures that are required to produce working systems
  • Autonomous and Smart Agents
    Understanding the architecture and concepts for designing autonomous and smart agents such as retrieval augmented generation (RAG), fine-tuning, custom instructions, and workflow automation
  • Risks and Regulations
    We address ethical dilemmas and the EU AI Act

This course is relevant for business professionals, designers, artists, copyrighters, musicians and any creative professional.  You will learn how AI can now be used to generate near human quality content in a wide variety of applications.

The learning objectives are:

  1. Discover how you can use AI to generate many types of content quickly and cheaply.
  2. Learn in-depth the concepts which underpin Generative AI (Encoding, Transformers, Diffusion etc).
  3. Understand how to direct large language models to produce your desired content (ChatGPT, GPT-4 etc).
  4. Dive into how customization of Generative AI models work.
  5. Learn by applying generative AI in a range of applications including Text, Image, Voice, Avatars and Animated Video.
  6. Build your own avatar for use in communication, videos and games.
  7. Review ethical and legal issues and the new EU AI Act.
  8. Start creating your own content!

We are sure you will find this both informative as well as highly amusing.

Alex, Dylan & Sean

Version Updates

    • Version 1.0 Launched August 2024 as a next step beyond the Essentials

Course Content

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Introduction to Generative AI
Text and Prompt Engineering
Customizing Generative AI Models
Image Generation
Voice, Music and Video Generation
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Generating Software
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Ethics, Legal Issues and Risks
Closing
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