explainx.ainewsletter3.02k

explainx / curriculum sample

Google Gemini / Workspace curriculum▌

For organizations aligning to Google ecosystem and grounding features—ties to productivity narratives.

Discuss this track →Browse program pages

instructional design: bloom’s taxonomy + measurable outcomes

Every module maps to explicit learning outcomes—not open-ended discussion without deliverables. We sequence along Bloom’s taxonomy (remember → understand → apply → analyze → evaluate → create): definitions and guardrails first, then applied exercises, then measurement and approvals. Facilitators run short checks for understanding after each block (2026 materials).

For organic and generative-engine visibility (GEO), we mirror patterns associated with stronger AI-search citation: answer-first sections, statistics where available, authoritative tone, clear H1–H3 structure, comparison tables when they reduce ambiguity, and FAQ blocks intended to pair with FAQPage JSON-LD. Teams produce briefs, scorecards, and checklists—not a generic “AI creativity” workshop.

program objectives

  • Sequence Workspace + Gemini features without overwhelming change fatigue.
  • Establish doc-grounding habits in shared drives with permissions hygiene.

how we deliver

  1. 1

    Discovery call & problem framing

    We align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.

  2. 2

    Stakeholder interviews & day-in-the-life context

    Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.

  3. 3

    Curriculum design & artifacts

    Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).

  4. 4

    Engaged, hands-on delivery

    Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.

  5. 5

    Post-session support: documentation & next steps

    Written recap, pilot backlog, links to explainx.ai courses for scaled upskilling, and optional office hours so momentum doesn’t stop at the workshop.

modules

Gemini adoption in shared drives

Permission reality first.

session outline

  • Shared drive mapping
  • Grounding limitations
  • Quality checks for summaries

labs

  • Red-team a grounding response

beyond-catalog topics (custom)

  • Cross-domain search when folder sprawl is historical

quick contact

Scope or pilot this curriculum

Share sponsor, headcount, and cities — we reply with timing and options. Rough budget helps us match the right depth.

related on-demand courses

Complete Google NotebookLM Course 2025: Beginner to Pro

Master Google NotebookLM: Research Summarization, Podcast Generation, Study Materials, and Business Workflows for Educators, Researchers, and Professionals

Generative AI for Leaders & Business Professionals

Become an AI Powered Business Leader & Professional who is Equipped with knowledge about the Modern Machines

faq

Is this official Google training?

Independent facilitation using your licensed stack—no official partnership implied.

← All curriculum samples·training hub