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Latest course update: January 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
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.
Registration is now open
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 users assistance for products.
We assume you have some experience of technical writing.
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.
ChatGPT and AI Basics
What do the buzzwords mean?
Using ChatGPT and similar tools – Software and Websites
Why use generative AI?
Why use generative AI?
The limitations of Large Language Models (LLMs) and AI systems
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 the project with AI support
Developing the information model
Writing the content with AI support
AI-enabled authoring tools (available as public preview)
About the temperature and top_p settings
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
Using OpenAI GPTs chatbots
Creating a chatbot – The more complex way (fine-tuning LLMs)
The other type of chatbots
AI and metrics
Using custom profiles in ChatGPT
The automated AI agent prompt
Useful Chrome extensions
Inserting variable information into a prompt
Adding user information and content from a repository into prompts
Connecting chatbots and LLMs to data stored in an API
Summary of course topics
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
- 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.
- 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.
Price and how to register for this course
The cost of the course is £375/$475 per delegate ex VAT.
In the UK, that means the price inclusive of VAT is £450.
Registration is now open.