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Gemini

Gemini inside Google Workspace, Gems, NotebookLM and the Gemini CLI. 8 platform modules plus 22 that apply to every platform.

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Three modules, in order: the required trio for the AF Gemini Practitioner credential.

  1. Step 1:
    Module 201 · Track A

    Gemini 101

    What Gemini is, where it lives (the app, the desktop apps, Chrome, and the side panel inside Workspace), what the plans buy you, and how to get a first useful result out of it.

    GeminiBeginners7 lessons · 90 min
  2. Step 2:
    Module 02 · Track A

    How to Prompt

    How current frontier models follow instructions, and the five fixes that turn vague prompts into precise ones.

    All platformsBeginnersIntermediate10 lessons · 60 min
  3. Step 3:
    Module 202 · Track B

    Saved Info and Gems

    How to stop re-typing who you are and what you want: standing context through Saved info, and repeatable tasks through Gems you build once and use every week.

    GeminiIntermediate7 lessons · 90 min

Credentials

Four levels, earned rather than attended: required modules, a verified skill check, and an artifact for the two upper levels. Every credential carries a public verification URL.

  1. Level 1

    AF Gemini Practitioner

    3 required modules · skill check

  2. Level 2

    AF Gemini Power User

    6 required modules · skill check

  3. Level 3

    AF Gemini Agentic Engineer

    3 required modules · skill check · artifact

  4. Level 4

    AF Gemini AI Leader

    3 required modules · skill check · artifact

Modules

Showing 30 of 30 modules

Module 02 · Track A

How to Prompt

How current frontier models follow instructions, and the five fixes that turn vague prompts into precise ones.

All platformsBeginnersIntermediate10 lessons · 60 min
Module 101 · Track A

AI at Work 101

What a large language model actually is, what that makes it good and bad at, and how the four assistants most organisations use ({{fact:general_assistants}}) package the same idea in different surfaces.

All platformsBeginners7 lessons · 90 min
Module 102 · Track A

Choosing Your AI Assistant

How to choose between {{fact:general_assistants}} for an organisation, starting from what you already pay for rather than from benchmark tables.

All platformsBeginnersLeadership6 lessons · 60 min
Module 201 · Track A

Gemini 101

What Gemini is, where it lives (the app, the desktop apps, Chrome, and the side panel inside Workspace), what the plans buy you, and how to get a first useful result out of it.

GeminiBeginners7 lessons · 90 min
Module 04 · Track B

Sound Like You

How to capture your writing voice, taste, and hard rules in one compact file any AI can use.

All platformsIntermediate6 lessons · 120 min
Module 05 · Track B

Stop Writing Like AI

The patterns that make text read as machine-written, from negative parallelism to banned vocabulary.

All platformsBeginnersIntermediate5 lessons · 60 min
Module 06 · Track B

Stop Prompting, Start Briefing

Why maintained context files beat repeated prompting, and how to manage them with Obsidian.

All platformsIntermediate7 lessons · 60 min
Module 202 · Track B

Saved Info and Gems

How to stop re-typing who you are and what you want: standing context through Saved info, and repeatable tasks through Gems you build once and use every week.

GeminiIntermediate7 lessons · 90 min
Module 203 · Track B

NotebookLM for Work

How to do research that stays inside the sources you chose: notebooks, sources, cited answers, Audio and Video Overviews, and sharing, in the product Google now calls {{fact:google_notebooklm_name}}.

GeminiIntermediate6 lessons · 60 min
Module 204 · Track C

Gemini in Workspace

How Gemini works inside the Workspace apps you already have open: the Ask Gemini side panel, what it can do in each app, how to point it at Drive files by name, what the admin has switched on, and what happens to your data.

GeminiIntermediate7 lessons · 60 min
Module 205 · Track C

Deep Research and Canvas

How to hand Gemini a research question and get a sourced report back, how to review that report properly, how to co-edit a document or a piece of code in Canvas instead of copying text in and out of chat, and how to schedule the small recurring tasks where your account allows it.

GeminiIntermediate7 lessons · 60 min
Module 12 · Track D

AI Slides

The research-first pipeline that produces decks worth presenting, plus the brand setup that keeps a whole team on-style.

All platformsBeginnersIntermediate5 lessons · 90 min
Module 206 · Track D

Gemini for Sheets and Slides

How to get a real spreadsheet and a real deck out of Gemini: assumptions first, then formulas and tables in Sheets you can trust, then a deck in Slides generated from your own material and edited slide by slide.

GeminiIntermediate7 lessons · 90 min
Module 104 · Track E

AI for Your Team

A five-day rollout playbook that works on any of the four assistants, built around recurring deliverables rather than general enthusiasm.

All platformsLeadership9 lessons · Half day or 5-part series
Module 18 · Track F

Prompt Engineering Deep Dive

The complete prompting toolkit, from structure and roles to hallucination control and complex industry prompts, plus how to measure prompt quality with evaluations.

All platformsIntermediateAdvanced8 lessons · Half day
Module 20 · Track F

Agent Harness Engineering

How agents actually work under the hood: the model supplies intelligence, and everything else is a harness you can build.

All platformsAdvanced7 lessons · Full day
Module 21 · Track F

Agentic Futures Briefing

Where agentic engineering is heading across three horizons: what's standard practice now, what arrives within a quarter, and what's forming six months out.

All platformsLeadershipAdvanced6 lessons · 90 min, also quarterly 1:1
Module 207 · Track F

Gemini CLI and Code Assist

The four ways a developer reaches Gemini, which of them still work for which account after the June 2026 changes, how to run an agent in the terminal with a context file and MCP servers, how the IDE agent mode differs, how to prototype in AI Studio and ship on the API, and how to build a first agent loop of your own.

GeminiAdvanced7 lessons · Full day
Module 103 · Track G

Working Safely with AI

What may and may not go into an assistant, where personal data and the EU AI Act touch everyday use, how prompt injection reaches you through connectors and browsing, and how to keep a named human accountable for every output that leaves your desk.

All platformsBeginnersIntermediateLeadership8 lessons · 60 min
Module 140 · Track H

AI for Sales and Revenue Teams

The five sales workflows where an assistant pays for itself: pipeline triage, account and meeting prep, proposal and follow-up drafting from a brief, objection practice, and forecast commentary.

All platformsIntermediate7 lessons · 90 min
Module 141 · Track H

AI for HR and People

How to turn a role brief into a job ad and an interview kit, draft and plain-language a policy, build onboarding material, and run a bias check on all of it, without ever pasting a candidate or employee record into the wrong place.

All platformsIntermediate6 lessons · 90 min
Module 142 · Track H

AI for Finance

A verification discipline for finance work with an assistant: assumptions before formulas, formulas before numbers, a reconciliation check before anything leaves your desk, and commentary that points at the cells it came from.

All platformsIntermediate7 lessons · 90 min
Module 143 · Track H

AI for Project Managers

To turn raw updates into a status report people read, keep a decision log that survives staff turnover, write stakeholder communications for the audience rather than the project, maintain a risk register that changes, and schedule the recurring briefings where your platform supports them.

All platformsIntermediate7 lessons · 90 min
Module 144 · Track H

AI for Legal and Compliance Teams

Three contract-review patterns (clause extraction, playbook comparison, plain-language summary), how to build and use a clause library, and the four guardrails that decide whether any of it is safe: confidentiality, privilege, hallucinated citations, and what never leaves the firm.

All platformsIntermediate6 lessons · 90 min
Module 145 · Track H

AI for Content and SEO Teams

Two half-sessions with their own exercises: content (briefs to drafts in the house voice, editing, repurposing across channels, and the anti-AI-writing habit) and SEO (keyword clustering, search-intent mapping, on-page briefs, metadata at scale, and checking what AI answers say about your brand), plus the short list of what not to automate.

All platformsIntermediate7 lessons · 90 min
Module 146 · Track H

AI for Tech Teams

The non-agentic developer workflow: the reading-and-writing work around the code that an assistant in a chat does well today, on any platform, without touching your repository. Documentation and ADRs, code review summaries, ticket triage and refinement, incident notes and post-mortems, runbooks.

All platformsIntermediate7 lessons · 90 min
Module 130 · Track I

AI Strategy Briefing for Executives

What has changed in the assistants over the last eighteen months, what an organisation should do in the next ninety days, and how to frame build versus buy, capability versus tools, risk posture and return on investment so the board can decide rather than defer.

All platformsLeadership7 lessons · 90 min
Module 131 · Track I

Measuring AI Adoption

What the admin dashboards on all four assistants actually measure, how to take a time-saved baseline that survives a finance review, which quality signals to collect, and what good looks like at three, six and twelve months.

All platformsLeadership6 lessons · 60 min
Module 208 · Track I

Gemini for Leaders

What a Gemini rollout across Workspace actually involves: which licences buy what, which switches the admin console has and what they default to, what Google commits to about your data, how adoption is measured with the reports you already have, what Google's own training and certification landscape offers, and how to sequence the first ninety days.

GeminiLeadership7 lessons · 90 min
Module 31 · Track J

Build Your Own MCP Connector

How the Model Context Protocol works and how to wrap an internal tool or API as a connector any MCP-capable assistant can call.

All platformsAdvanced7 lessons · Half day

Tracks

Track A · 4 modulesFoundationsTrack B · 5 modulesPersonal SetupTrack C · 2 modulesPower FeaturesTrack D · 2 modulesDeliverablesTrack E · 1 modulesTeams and ScaleTrack F · 4 modulesDeveloper Deep-DivesTrack G · 1 modulesGovernance and ComplianceTrack H · 7 modulesRole-Based SessionsTrack I · 3 modulesLeadership and StrategyTrack J · 1 modulesBuilder Track