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Educational event descriptions and ideas for building understanding around AI and machine learning

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ai-upskill-events

We have been running and thinking about a few different events, described briefly below.

Synchronous upskill events

  • Presentations (live or remote)
  • Workshops
  • Webinars (online only, repeatable, final one recorded)
  • Townhalls
  • Seminar or conference (group share)
  • Course
  • Safety moment

Asynchronous upskill tools

  • Website 'hub' or portal
  • Learning path or online learning workflow
  • Published media, eg blog or Intranet article
  • Social media, eg Viva Engage
  • Wiki content
  • Forum

Elements of events

  • Survey, eg Menti
  • Whiteboard or iPad drawing
  • Presentation
  • Slides (minimal) or websites etc
  • Demo (live prompt or live code)
  • Games, eg Say What You See, Play a Game, etc
  • At-table conversation (eg brainstorm, capture w stickies)
  • Slides
  • Q&A w facilitators
  • Discussion in the room (generally not ideal)

Design considerations

  • Sync or async, and duration
  • Overhead or prep time
  • Depth / technical level
  • Purpose of event:
    • Knowledge and understanding
    • Mythbusting
    • Pitfalls
    • Reassurance or real talk about staffing levels
    • Rules and compliance
    • Intuition building
  • Learner segment and reach:
    • Whole company
    • Large groups, eg about 40+
    • Smaller groups, under 40 people
    • Leader groups
    • Individuals

See also

  • promptly for more on prompting and pitfalls in generative AI.
  • llm-engineering-101 for a short workshop aimed at getting developers up to speed.
  • ml-pitfalls for more on pitfalls in machine learning, another series of events.

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