Using Generative AI in technical writing (training course)

Latest course update: April 2024.

This online course covers how technical communicators can use Generative Artificial Intelligence to help them:

  • Be more efficient
  • Create better deliverables for their users
Course logo of a man and computer. A Technical Writer, who is in an office, using a computer, being helped to do their work by an AI system.

We went through all the key stages in a technical writing project. At each step, we investigated whether AI tools like ChatGPT and Claude could make a Technical Writer’s job easier and better. After a lot of research and testing, we ended up with the content for this course.

The course provides a framework that attendees can use to identify opportunities and best practices for integrating ChatGPT, Claude, LLaMA, and similar tools into their technical authoring processes – creating, managing, and delivering technical content.

Here is a playlist of videos showing some of ways that Technical Writers can use AI:



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Why attend this course?

Integrating AI and natural language processing technologies promise to make Technical Writers ​more efficient and more effective at what they do.

By attending this course, you’ll gain a better understanding of how generative AI can be used by technical communicators. You learn a framework you can use for using tools such as ChatGPT at the different stages of a technical writing project.

Who is this course for?

This course is for anyone involved in creating user guides, Help files, knowledge bases, and other forms of user assistance for products.

We assume you have some experience of technical writing.

Comments from delegates

Delegate comment: It's an excellent course. Very thought provoking.

What will I learn?

In this course, we’ll take you through the process of using generative AI to create technical documentation. You’ll learn and practice:

  • What are AI technologies and their relevance to technical writing?
  • Career opportunities and threats
  • How you can use AI at different stages of the documentation process. We cover topics such as planning, writing, reviewing, and production.
  • How to work more efficiently.
  • How to work more effectively.

Topics covered


ChatGPT and AI Basics

  • What do the buzzwords mean?
  • Using ChatGPT and similar tools – Software and Websites
  • Prompt Engineering

Why use generative AI?

  • Why use generative AI?
  • The limitations of Large Language Models (LLMs) and AI systems
  • Data security
  • Legal considerations

Developing Content with AI Support

  • A framework for using generative AI
  • Using AI during the research stage of a documentation project
  • Defining the goals and scope of a project with AI support
  • Managing and automating a documentation project with AI support
  • Developing the information model
  • Writing the content with AI support
  • AI-enabled authoring tools
  • About the temperature and top_p settings
  • Reviewing content
  • Maintaining your content

Publishing – Creating LLMs, enhanced search, and chatbots

  • Publishing to chatbots and LLMs – Introduction
  • Collecting the data to be used by a LLM or chatbot
  • Creating a chatbot – The easy way (Retrieval-augmented generation (RAG))
  • Using OpenAI GPTs chatbots
  • Creating a chatbot – The more complex way (fine-tuning LLMs)
  • The other type of chatbots
  • AI and metrics
  • AI and video walkthroughs

Advanced techniques

  • Using custom profiles in ChatGPT
  • The automated AI agent prompt
    • An automated AI agent for ChatGPT 4. It creates agents to assist users in achieving their goals.
  • Useful Chrome extensions
  • Inserting variable information into a prompt
    • Methods for personalising the responses for each user
  • Adding user information and content from a repository into prompts
    • Methods for personalising the responses for each user
  • Connecting chatbots and LLMs to data stored in an API
    • It’s now possible for an LLM to make calls to an API, and use the information returned from the API in its responses.
  • Open Interpreter
    • Open Interpreter lets LLMs run code on your computer to complete tasks.
  • Personalised learning techniques
    • Developing personalised learning plans from YouTube video content

Your project


  • News
  • Summary of course topics
  • Action plans
  • Course Resources for Further Learning

What the course does not cover

The course does not go into much detail about using generative AI to create images, audio or videos.

Duration and delivery format

Learning Materials

  • The course comprises online training modules, which you can complete at your own pace. The course modules are delivered over the Web in small, manageable video presentations. You can pause the videos at any time and return to the course at times that suit you.
  • We have provided a knowledge file. This knowledge file is a user guide for an imaginary application called ABC video player. Delegates can use this file when creating a chatbot if they don’t have their own content they can use.


  • The modules describe practical examples and techniques you can use right away.


  • The modules contain demonstrations of the techniques and tools when they’re applied to technical writing.


  • You’ll be given exercises to work on throughout the course. This is a great way to put your learning to practice.

Preview a module from the course

Price and how to register for this course

The cost of the course is £375/$475 per delegate ex VAT (or digital goods tax that some countries charge).

In the UK, that means the price inclusive of VAT is £450.

The total price for you will be shown on the course page in our elearning platform.

Registration is now open.

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