AI for Marketing Leaders
capability building,
designed for your organisation.
A custom-built corporate programme for CMOs, VP marketing, marketing directors, brand leaders, performance marketing leads, content leaders, demand-gen leaders, and senior marketing managers driving AI adoption in their function. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- The marketing AI stack: content, performance, brand, CX, analytics — what AI is doing in each
- Vendor landscape: ChatGPT, Claude, Gemini, Copilot + Jasper, HubSpot AI, Salesforce Einstein, Adobe Firefly
- What's mature, what's emerging, what's still hype
- Strategic implications: organisational, talent, investment
Want the full module-by-module syllabus, sample assignments, and pricing?
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Demonstrable skills your team will apply on live projects.
Lead AI strategy across marketing functions
Content, performance, brand, CX, analytics — defensible portfolio across all five with measured ROI.
Direct AI-augmented content production
Content brief → AI draft → human review → publish — at 3-5× pace with measurable quality.
Govern brand safety and IP risk
AI content provenance, brand consistency systems, IP and deepfake risk frameworks.
Pass GSDC AI for Marketing certification
Two attempts; cohort first-attempt pass rate 91%.
Achieve measurable revenue and efficiency lifts
30-50% content velocity lift, 15-25% performance marketing efficiency lift — typical cohort outcomes.
Build the AI-augmented marketing team
Equipped to redesign roles, hire, train, and lead the marketing function for the AI era.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Aware AI is reshaping marketing but unsure which capabilities to invest in vs. defer
- ·Limited working fluency with marketing-AI tools beyond casual ChatGPT use
- ·Cannot critically evaluate marketing-tech vendor pitches that include AI claims
- ·No framework for measuring AI-driven marketing impact beyond vanity metrics
- ·Limited fluency with brand-safety and IP implications of AI-generated marketing assets
- ·Unsure how to lead an AI-augmented marketing team — roles, training, operating model
Where they'll arrive
- ✓Marketing AI strategic literacy — defends AI investment portfolio across content, performance, brand, analytics, customer experience
- ✓Tool-stack fluency — across ChatGPT, Claude, Gemini, Copilot, Jasper, Midjourney, HubSpot AI, Salesforce Einstein, Adobe Firefly
- ✓Performance measurement — applies AI marketing measurement frameworks beyond vanity metrics
- ✓Brand-safety discipline — knows the IP, copyright, deepfake, and brand-consistency risks and mitigations
- ✓Operating-model design — builds AI-augmented marketing teams with right roles and training
- ✓GSDC AI for Marketing certification — credential for senior marketing roles
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
No. AI will not fully replace marketing teams, but it will change how marketing work is planned, executed, and measured. AI can support content creation, campaign ideas, SEO research, ad copy, customer segmentation, email personalisation, reporting, and marketing analytics. However, human marketers are still needed for brand strategy, customer psychology, positioning, creative direction, campaign judgment, compliance, storytelling, and business decision-making.