Bottega by Claresia Enrol now
← Back to overview
Marketing specialty 88h · 4 modules · €40–€60/hr

Marketing AOS course

Stand up Forge, Sailford and Steve for content + demand teams.

Outline only (full content in development)

Functions touched

ForgeSailfordSteve

Modules

Module 1 · 16h

4 units

Foundation — Marketing in an Agent Operator world

  • Brief → asset → distribution: where AI inserts vs replaces
  • Forge as a copyright-respecting content engine
  • Steve as a campaign coworker, not a copy generator
  • Worked example: a 4-week marketing-manager journey

Module 2 · 28h

4 units

Function deep-dive — Forge content engine

  • Knowledge bases, professor mode, and the Forge content guardrails
  • Hands-on: produce a chapter (slides + podcast + exercises) end-to-end
  • Brand-tone drift: rubric-graded edits, not vibes
  • Distribution loop: HubSpot + LinkedIn + nurture sequences

Module 3 · 28h

4 units

Engagement craft — running a marketing deployment

  • Editorial calendar reform: from chaos to a 12-week sequence
  • KPI tracking: turnaround time, brand-tone variance, MQL quality
  • Forge + Sailford choreography for ABM campaigns
  • Hand-off ritual to the brand or demand-gen lead

Module 4 · 16h

4 units

Capstone — your reference deployment

  • Full Forge + Sailford plan for a synthetic B2B SaaS marketing org
  • MQL projection tied to cc-053 marketing_mgr transforms
  • Brand-voice rubric calibrated to the customer style guide
  • Risk register including AI-Act art. 50 disclosure obligations

Exam blueprint

MCQ

10

Short answer

2

Pass

75%

Duration

45m

Capstone

Marketing AOS Capstone — Editorial reform plan

A 60-FTE B2B SaaS marketing team ships 1 long-form / week with a 7-day average turnaround. Produce a Forge deployment plan that takes them to 3 long-form + 2 short-form / week with a 2-day turnaround.

Deliverables

  • Editorial calendar (12 weeks, 36 long-form, 24 short-form)
  • Forge knowledge-base topology
  • Brand-tone rubric with worked examples
  • KPI projection: turnaround, MQL, brand-tone variance
  • AI-Act disclosure + watermarking plan