
AI and Advanced Marketing: Digital and ChatGPT
The AI and advanced marketing course connects digital marketing, data analysis and user experience.
An artificial intelligence course for business helps teams and professionals understand the tools, applications and limitations of AI in their everyday work.
The Business AI School catalogue brings together courses in generative AI, digital marketing, data analysis and AI applications across professional sectors.
70 courses

The AI and advanced marketing course connects digital marketing, data analysis and user experience.

The ChatGPT course for business and marketing explores content creation with language models.

The Prompt Engineering course explores how to design instructions for ChatGPT and other language models.

AI-powered marketing automation connects workflows, segmentation and personalised communications.

Generative AI for content marketing can support writing, customer service and lead generation.

Predictive marketing with AI uses data and models to estimate trends and behaviour.

AI for SEO and content optimisation supports search analysis and the evaluation of digital content.

Social media marketing with AI applies digital tools to planning and analysing social media activities.

The Python with ChatGPT for data analysis course introduces tools and methods for integrating language models into Python workflows.

Business intelligence for marketing organises data and indicators to support decision-making.

The AI-personalised customer journey connects touchpoints with customer information.

Generative AI for new product launches can support marketing content and communications.

The SEA with AI course explores search engine campaigns, automated systems and advertising metrics.
Programme and details
AI for customer experience connects data, personalisation and customer journey design.

The AI-driven CRM and loyalty programmes course explores customer management and the RFM model.

Personal branding and self-marketing help define and communicate your professional identity.

Emotional intelligence connects emotional awareness with professional relationships.

Personal leadership and team motivation involve communication, people and shared goals.

Public speaking involves preparing and delivering messages to an audience.

Problem solving and decision making connect problem analysis with the evaluation of alternatives.

The accountability and AI course explores responsibility, risk assessment and compliance processes.

AI in digital advertising supports analysis, targeting and campaign organisation.

AI for e-commerce connects sales analysis, recommendations and customer support.

Dynamic pricing with AI uses data and models to support pricing decisions.

AI for market research complements statistical methods for interpreting data and behaviour.

AI for UX connects data analysis, interaction design and personalisation.

AI in marketing connects segmentation, personalised communications and performance analysis.

AI for B2B demand generation connects prospect identification, segmentation and lead scoring.

AI for CRM management connects purchase data, the RFM model and customer targeting.

AI for logistics and warehousing connects demand forecasting, inventory and process organisation.

ChatGPT applications in marketing include content, campaigns and customer service.

The AR/VR marketing with AI course introduces technologies and models that can support immersive experiences.

Data-driven B2B marketing with AI connects customer analysis with commercial planning.

B2C marketing and advanced personalisation start with understanding customers.

Behavioural economics with AI connects consumer decisions with analytical technologies.

Big data and marketing connect large datasets with campaign decisions.

The Turing Test provides a starting point for discussing what intelligence means in artificial systems.

Competitive analysis with AI connects market analysis, segmentation and competitor research.

Creativity and innovation help explore alternatives when facing workplace challenges.

A customer-centric mindset focuses on customers and value creation.

Data storytelling with AI connects statistical analysis, visualisation and reporting.

Digital planning with AI connects marketing goals, market analysis and digital tools.

E-commerce with AI connects personalisation, data and the optimisation of digital activities.

Emotional selling and neuroselling explore the role of emotions in commercial relationships.

Machine learning applications in pharmaceuticals require data interpretation and an understanding of context.

Conflict management requires attention to communication and workplace relationships.

Time management connects work organisation with productivity tools.

Google marketing and AI connects Google tools with campaign planning and measurement.

Introducing AI into business starts with concepts, definitions and the evolution of technology.

Machine learning and advanced segmentation connect learning models with data interpretation.

Email marketing with AI and data mining connects data analysis, segmentation and personalisation.

Personalised marketing in the pharmaceutical sector uses data and segmentation to differentiate communications.

Strategic negotiation connects goals, relationships and communication in the sales process.

Neuromarketing with AI explores attention, decision-making and communication.

Omnichannel marketing with AI requires a coordinated understanding of channels and interactions.

Critical thinking and logical reasoning help examine workplace problems and arguments.

Personal branding with AI connects professional identity with communication techniques.

Persuasion in leadership requires an awareness of communication approaches and their limitations.

Strategic planning with AI and big data requires an understanding of the technologies and their applications.

The NLP and AI in marketing course introduces communication approaches and digital tools.

NLP for team communication explores verbal, non-verbal and relational aspects.

Advertising on Facebook and Meta with AI integrates targeting, data analysis and automation.

RFM analysis and CLV offer different perspectives on customer behaviour and value.

Sales forecasting with AI applies statistics and predictive models to sales.

Prospect segmentation with AI connects audience analysis with contact classification.

SEO with AI applies digital tools to content review and performance analysis.

AI for cybersecurity can support anomaly detection and threat response.

Social listening with AI involves monitoring conversations and analysing social data.

Visual communication and storytelling connect messages, images and narrative in business.

Voice and chatbot marketing involves intelligent agents and digital interactions.
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Consider your starting level, the tools you already know, your professional goals and the skills you want to develop. Check the course pages for content, prerequisites and participation options.
Request informationYou can start with the ChatGPT course, explore predictive marketing or discoverAI for e-commerce. For an implementation project, explore artificial intelligence for business at Barbarossa & Partners.