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Technology · AI & digital tools

AI at Work: Practical Tools for a Productive Day

Discover how to use artificial intelligence to save time, reduce repetitive tasks, and improve your everyday work. This hands-on course is designed for UK professionals who want to apply AI tools safely and effectively, without needing technical skills.

540 min12 modulesBeginner friendly
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Free to take. This course does not use any Learning Credits.

What you’ll be able to do

By the end of this course, you will be able to identify at least three AI tools relevant to your role, use them to complete a common work task more efficiently, and apply basic guidelines for data privacy and ethical use.

Course outline

A clear route from first principles to practical confidence

  1. 01

    What AI Can Do for You at Work

    • Understanding AI: A simple explanation for non-technical staff
    • Everyday AI tools you may already use (email, calendars, search)
    • How AI can save time on admin, writing, and data tasks
    • Myths and realities: What AI can and cannot do
  2. 02

    Getting Started with AI Assistants

    • Choosing an AI assistant: ChatGPT, Copilot, and other options
    • Setting up your account and understanding privacy settings
    • Writing your first prompts: Asking clear questions
    • Using AI to draft emails, summaries, and meeting notes
  3. 03

    Writing Effective Prompts

    • The anatomy of a good prompt: Context, task, and format
    • Common prompt mistakes and how to fix them
    • Using examples and constraints to improve results
    • Practice session: Rewriting weak prompts
  4. 04

    AI for Writing and Communication

    • Drafting reports, proposals, and internal updates
    • Polishing tone: Formal, friendly, or persuasive
    • Proofreading and grammar checks with AI
    • Creating templates for repetitive communications
  5. 05

    AI for Research and Summarising Information

    • Using AI to summarise long articles and reports
    • Extracting key points from meetings and documents
    • Comparing multiple sources with AI assistance
    • Fact-checking and verifying AI-generated information
  6. 06

    AI for Data and Spreadsheets

    • Using AI to clean and sort data in spreadsheets
    • Generating charts and summaries from raw data
    • Asking questions about your data in plain English
    • Automating repetitive spreadsheet tasks
  7. 07

    AI for Planning and Project Management

    • Creating to-do lists and schedules with AI
    • Using AI to break down projects into manageable steps
    • Generating timelines and reminders
    • Collaborating with AI in team tools (Teams, Slack)
  8. 08

    AI for Creativity and Problem-Solving

    • Brainstorming new ideas with AI prompts
    • Using AI to explore different perspectives on a problem
    • Generating outlines and drafts for presentations
    • Combining AI suggestions with your own expertise
  9. 09

    Staying Safe and Ethical with AI

    • Understanding data privacy: What not to share with AI
    • Avoiding bias and checking for fairness in AI outputs
    • Knowing when to rely on AI and when to use your own judgment
    • Your organisation’s policy on AI use
  10. 10

    Building Your AI Workflow

    • Identifying your most time-consuming tasks
    • Mapping where AI can fit into your workflow
    • Creating a personal AI toolkit
    • Testing and refining your new workflow
  11. 11

    Overcoming Common Challenges

    • Dealing with inaccurate or irrelevant responses
    • Managing time: When AI slows you down
    • Handling technical glitches and limitations
    • Building confidence: Practice and patience
  12. 12

    Next Steps: Keeping Up with AI at Work

    • Free resources for staying updated on AI tools
    • Joining online communities and forums
    • Setting a personal learning goal for AI
    • Sharing your AI tips with colleagues