Training programmes in AI applied to marketing for full teams. Tools, prompts, use cases, ethical governance. No technical profile required — but judgement is. That judgement is what the training brings.
Teams of 4-20 people with different profiles (strategy, content, ads, social, analytics). Training that covers the whole, not just a few.
CMO, general management, commercial management. Executive training that gives judgement for investment and governance decisions without entering technicalities.
Agency teams that need to integrate AI into their daily operations without losing competitiveness or creative quality.
Marketing master's and executive programmes adding an AI block to their curriculum. Practical cases and real application.
Overview: types of AI, real use cases, main tools (ChatGPT, Claude, Gemini, Midjourney, vertical platforms). What each one does and when to apply it.
How to construct a prompt that produces professional results. Voice guidelines, context, constraints, validation. What separates amateur from professional use.
Practical workshop by function: content, social, ads, analytics, customer service. Each team member leaves with flows applicable to their concrete work.
Internal usage policy, GDPR (RGPD) and the EU AI Act, transparency with clients, risks to avoid. Without this layer, AI in a team is a problem waiting to materialise.
A team well trained in AI takes advantage of the technology without risks. Specifically:
Repetitive tasks (first drafts of copy, briefs, routine writing) leave the workflow. The team focuses on the creative and strategic.
Well trained, the team uses AI as a tool — not as a substitute for judgement. Average quality holds or rises, not falls.
Clear usage policy: what can be passed to external AI, what can't, which providers are acceptable, what makes you GDPR-compliant. Regulatory risk mitigated.
After training, the team shares vocabulary and method. Recurring individual questions stop — and productivity rises just from that.
Marketing professionals prefer companies that train them in AI. The training is a retention and attraction factor that serious companies take seriously.
Teams trained in AI produce more and better with the same headcount. Sustained over time, that difference creates distance from competitors who don't train.
B2B services marketing department with very different profiles. Programme with workshops by function. Measurable productivity improved 30% in the next quarter.
El marketing del cerebro es más predictible que el marketing de la opinión. — Ángel Ortega Castro
Regional agency with 25 people. Programme with specific modules by department (creative, content, ads, social). Clear competitive edge in client proposals.
Executive programme with an applied-AI marketing module. Combination of theory + workshops with real cases. Students with a concrete action plan for their companies.
CRM, events, content, campaign history.
Trained algorithm or generative guided by rules.
Prioritised lead, content published, decision taken.
AI training makes sense in these four scenarios. The sooner it's done, the more the temporal advantage in the market is captured:
Everyone uses ChatGPT their own way without shared method. Result: inconsistent quality, legal risk without governance, productivity well below potential.
Board or CEO push AI without knowing what for. Professional training provides the judgement to turn that push into useful application, not fashion spending.
If competing agencies and companies already train their teams, you lose relative advantage every month. The gap widens quickly on this topic.
Arrival of new professionals who already know AI or who need to learn. Training is efficient onboarding that avoids semesters of unstructured learning.
No. I design the training for marketing and communications profiles without prior technical training. We cover everything needed to use the tools professionally — without going into code.
The main ones on the market: ChatGPT (and custom GPTs), Claude, Gemini, Midjourney, Suno, Eleven Labs, vertical tools for social and email (Klaviyo AI, Jasper). We adapt to whatever you already use or are most interested in.
For a full department: 12-20 hours over 3-5 sessions. For an executive session: 4 hours. For master's programmes: 12-30 hours distributed across the block. Format adapted to profile and objectives.
Yes, whenever feasible. In closed training, workshops apply to the client's real flows. The programme ends with a concrete implementation plan, not just general learnings.
Yes. Master prompt library for each function, internal AI usage policy template, tool comparison with selection criteria, bibliography. Living and applicable material.
First 45-minute session, free of charge and no commitment. If we fit, I send you a detailed proposal within 5 days. If we don't, you take away a useful initial diagnosis.