AI for Marketing
First 2027 scholarship call
AI for Marketing
Turn research, positioning and content production into an AI-assisted marketing system: grounded sources, reusable brand assets, compliance controls inside the workflow and measurement that separates what was produced from what actually sold.
Developed under the new AI Act model · Continuous updates
Edition 2026
200 hours of applied learning
8 academic credits
25 lessons + 6 workshops
Digital campus
Verifiable certificate
550 USD one payment · or 2 × 275 USD (today and after 30 days)
What you'll learn
- Run research and positioning with grounded, verifiable sources, and know what a synthetic panel cannot replace.
- Build prompt, claims and asset libraries consistent with the brand and reusable by the whole team.
- Design a modular content system with an editorial workflow and approvers, instead of loose generated pieces.
- Adapt distribution by channel, set the limits of personalisation and prepare the brand for generative search.
- Apply compliance controls on advertising, consumer protection, personal data and transparency of synthetic content.
- Measure creative output against real performance with baselines, experiments and attribution caveats, and close iteration loops.
- Apply the IntellCore AI Act Method™: classify the risk of an AI use case in your field and document it under the AI Act 2026.
Program curriculum
01 — Research and positioning
- What AI is and how it reached marketing
- Source-grounded research
- Audience synthesis and synthetic panels
- Positioning with proof
- Message testing
02 — Content systems
- Brand prompt libraries
- Claims and multimodal assets
- Editorial workflows and approval
- Modular content: from loose pieces to a system
03 — Distribution and generative search
- Channel adaptation
- The limits of personalisation
- Automated platform campaigns: what to control
- Generative search: AI Overviews and answer engines
04 — Compliance and trust
- Misleading advertising and claim substantiation
- Transparency of synthetic content, reviews and influencers
- Personal data and advertising: GDPR and DSA
- Compliance controls inside the workflow
05 — Measurement
- Creative baselines
- Attribution caveats
- Experiments: A/B, geo tests and marketing mix models
- Iteration loops
06 — Capstone: campaign system with a measurement plan
- Designing the campaign system
- Producing and approving the batch
- Launching with the measurement plan
- Report against the baseline and defence
07 — IntellCore AI Act Method™ applied to your field
- The EU AI Act 2026: risk levels, prohibited practices and obligations
- Transparency, human oversight and documentation in your professional field
- Classifying and auditing a real AI use case step by step
- Your compliance file with the IntellCore AI Act Method™: from system records to the review plan
Practical application
- · Capstone: an AI-assisted campaign system with a measurement plan, applied to your own campaign or to Lunara Bikes, with a prompt and claims library, an approval workflow, compliance controls and a report against the previous baseline.
Practical project: Capstone: an AI-assisted campaign system with a measurement plan, applied to your own campaign or to Lunara Bikes, with a prompt and claims library, an approval workflow, compliance controls and a report against the previous baseline.
Who is this for?
- · Marketing leads
- · Content and brand teams
- · Growth and demand generation
- · People who approve campaigns and answer for their results
Requirements
- · No coding required
- · Access to your own campaign data (or use the case data)
- · A spreadsheet
Meet your instructor
AI for Marketing
Chair, AI for Marketing
Generative research and content systems, multimodal generation and creative measurement.
Teaches: AI for Marketing · Generative AI
Edition 2026
What each week includes
Every week of the program follows the same structure.
- 01
Explainer video per lesson
- 02
Guided reading (6 h)
- 03
IntellCore Labs · ~90 min workshop with data
- 04
Verified real case
- 05
IntellCore Podcast
- 06
IntellCore Radar
- 07
Self-assessment
- 08
Practice and exam (70%, 3 attempts)
- 09
Extended practice (5 h)
- 10
IntellCore AI Act Method™ module applied to your field (30 h)
- 11
Applied final project (30 h)
- 12
6 modules × 23 h + IntellCore AI Act Method™ module 30 h + final assessment 2 h + final project 30 h = 200 h
- 13
Downloadable PDF summary
Verifiable certificate
200 hours · 8 academic credits
Unique verifiable code at intellcore.ai/verify
Student reviews
Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.
