Regression, classification, clustering, recommendation, forecasting, feature engineering, machine learning, introduction to deep learning, metrics, validation, optimization, explainability, and reliability.

Applications: churn, CLV, propensity to buy, lead scoring, predictive segmentation, recommendations, next best action, conversion, customer retention, performance forecasting.

LLM, multimodal models, prompt engineering, context engineering, structured outputs, embeddings, vector databases, RAG, text/image/audio/video generation, hallucinations, evaluation, costs, brand consistency.

Applications: Brand content, campaigns, social media, corporate communications, media relations, internal communications, email marketing, video, personalization, creative briefs, and multichannel adaptation.

SEO, AEO, GEO, Search Marketing, Paid Search, Social Ads, programmatic advertising, Retail Media, influencer marketing, attribution, Marketing Mix Modeling, creative optimization, media personalization, and conversational advertising environments.

Scope definition, use case prioritization, requirements specification, Build/Buy/Partner, technology selection, project team, Agile, PoC, MVP, scaling, budget, TCO, ROI, KPI, experimentation, A/B testing, risks, adoption, and change management.

1) Transform the organization: Process Mining, Task Decomposition, Automation Potential, Human/AI Allocation, process redesign, Customer Journeys, workflows, operating models, Marketing Operations, team organization, Marketing/Sales/Customer Care interface, new roles, skills, target architecture, roadmap.

2) Transforming the role: creativity, customer empathy, cultural intelligence, brand judgment, strategic thinking, storytelling, influence, taste, and ethical responsibility.