Introduction
AI basics
Prompting, context and skills
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A practical prompt structure (2:21)
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Reusable instructions and skills (2:56)
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Long context and uploaded files (3:44)
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When should you use a prompt, agent or a skill?
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Claude Skills
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Security risks and mitigations for AI agent skills
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Assessing skills: LLM-as-Judge scoring
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Directory of Skills
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Pack of 11 general technical writing skills.md files
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Checking AI answers (1:53)
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AI can be biased and make mistakes (2:25)
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Section summary (AI generated)
Why use generative AI?
Developing content with AI support
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A framework for using generative AI (2:40)
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Using AI during the research stage of a documentation project (29:58)
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AI and video walkthroughs at the research stage (8:06)
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Defining the goals and scope of a project with AI support (1:47)
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Managing and automating a documentation project with AI support (75:10)
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Developing the information model (9:33)
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Writing the content (7:24)
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Creating code samples (2:56)
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Visual content (4:05)
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Creating templates (1:48)
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Choosing an AI tool (2:16)
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About the temperature and top_p settings
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Reviewing content (2:18)
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Section summary (AI generated)
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Quiz
Testing, maintenance and measurement
Publishing and adaptation
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Publishing for humans and AI (10:12)
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Making your content findable by AI systems (6:00)
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Publishing to chatbots and LLMs (3:55)
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Choosing prompt, context, RAG, tool call or fine-tuning (4:45)
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How RAG works (40:51)
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Keeping RAG information up to date (1:45)
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Building a documentation assistant (1:50)
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Using OpenAI GPTS chatbots (11:02)
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The other type of chatbots (9:38)
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Quiz
Privacy, law and governance
Security, agents and connections
Advanced techniques
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Using custom profiles in ChatGPT (5:35)
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Useful Chrome extensions
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Inserting variable information into a prompt (14:47)
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Adding user information and content from a repository into prompts (5:26)
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Connecting chatbots and LLMs to data stored in an API
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Personalised learning techniques
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AI and video walkthroughs
Automation
Your project
Summary
