Course curriculum

  1. 1
    • Introducing the Prompt Designer course

    • How to get the most out of this course

    • Leveraging ChatGPT in the CDI workflow

    • Quiz: Introduction

  2. 2
    • LLM use cases overview

    • GAI vs CAI

    • GAI Value Chain

    • Understanding ChatGPT

  3. 3
    • Workflow stage 01: Strategize

    • Strategize: Canvases

    • Operation – Using ChatGPT to discover your use cases

    • Technology stack – Using ChatGPT to understand how to build your use cases

    • Audience – Using ChatGPT to understand your audience (customers, patients, employees, citizens)

    • Persona – Using ChatGPT to develop a winning personality for your AI Assistant

    • Avatar – Using Midjourney to create an Avatar for your AI Assistant

    • Personality content – Using ChatGPT to come up with creative personality content that builds rapport

    • Quiz: Strategize

  4. 4
    • Workflow stage 02: Design

    • Design: Canvases

    • Mentalize – Using ChatGPT to mentalize the context of your use case

    • First draft – Using ChatGPT to create a first draft for your dialogue

    • Designing a prompt – Crafting the prompts that give winning output

    • Mentalize the conversation: How?

    • Create variations – Using ChatGPT to create variations that make your assistant come to life

    • Have the conversation: How?

    • Prompt chaining – how to enrich the output by linking prompts together

    • Quiz: Design

  5. 5
    • Workflow stage 03: Build

    • Training phrases – how to use ChatGPT to create training phrases that improve cognition, rather than hurt it

    • Clearing up training phrases – how to clean up training phrases so that we can use them to train our model

    • Out of scope content – how to use LLMs to deal with out of scope content

    • Quiz: Build

  6. 6
    • Empowering the AI Trainer_WDon

    • How to launch and supervise a generative chatbot using HumanFirst and OpenAI GPT

    • LLMs and Rasa

    • How Conversation Designers are Using GPT LLMs in Voiceflow

    • Michal Stanislawek on LLMs, Generative AI, and the complexity of the enterprise

  7. 7
    • Introducing Cobus Greyling

    • What are LLMs and how should enterprises think about it

    • Breaking down the LLM landscape

    • Low hanging fruit with LLMs

    • Hallucinations explained and how to mitigate the risk

    • Transitioning to running real time LLM powered chatbots

    • Wrapping up – people want to have conversations