MODULE 1 INTRODUCTION TO ARTIFICIAL INTELLIGENCE Identification of basic A.I. concepts: Characterization of Artificial Intelligence Basic business concepts linked to A.I. Types of A.I. models based on: efficiency and customer Differentiating and contextualizing A.I., Machine Learning and Deep Learning Distinguishing the fields of application of Artificial Intelligence in the current socio-economic context: Impact on the A.I .industry and digital economy. Demonstration of the impact of robotization on human tasks. MODULE 2 MARTECH, BIG DATA AND E-COMMERCE Identification of the main concepts of the application of digital marketing in Artificial Intelligence: Conceptualization of Mar-Tech: integration of marketing and technological processes Relationship between A.I. and digital marketing. Digital business, collaborative economy and the autonomous era. Interpretation of the impact of the “Data Market”: Context of e-Commerce in the Spanish market Analysis of the impact of the “Data Market” on the traditional economy MODULE 3 DIGITAL MARKETING Characterization of Digital Marketing: Strategic fundamentals of Digital Marketing Basic elements of a Digital Marketing strategy Procurement channels and on line communication channels Configuration of a web metrics dashboard: Measurement indicators: choice of main KPI sand elaboration of a monitoring dashboard. Growth Hacking Techniques Calculating, choosing and analyzing digital business metrics Execution of customer-oriented digital marketing strategies: Choice of tools for the development of the CRM strategy. Study and analysis of paid and organic media. MODULE 4 A.I. APPLICATIONS IN MARKETING DIGITAL Development and application of A.I. solutions in digital content management: Generation and curation of content on social networks. Programmatic search engine advertising. Identification of communication and assistance tools in digital marketing: Use of the Voice Search solution in keyword searches. Inclusion of A.I. in virtual assistants & Chat bots Analysis of on line user behavior in E-Commerce: Use of Marketing Automation tools: Connectif, Probance, Hotjar, Hubspot, Market o or Infusion Soft, among others. Web Design and User Experience (UX) monitoring tools. Predictive Analytics: maximize customer lifetime value, optimize purchase probability and reduce customer churn. MODULE 5 IA AND MARKETING AUTOMATION Analysis of the strategic discipline Customer Experience: Customer Journey Mapping and Touch Points MOT, Customer in sight and Empathy Mapping 10 CXM: Customer Experience Management Generalization of the digital marketing methodology Conversion Funnel: Conversion Funnel Concept Digital marketing methodology Conversion funnels Implementing A.I. in a comprehensive Automation Marketing strategy: Development of a comprehensive strategy and detailed Work flows End-to-end solutions for: E-mail Marketing, automated product recommendation, push notifications in the browser, automated CRM strategy in the database and automatic e-mails according to UX. Demonstration on thee Commerce platform Word-Press: Word-Press basics. Implementation of the Active Member 360 Plug-in. MODULE 6 IA BUSINESS CASE APPLIED TO BUSINESS DIGITAL Characterization of the development of the success story: Basic concepts of Agile Methodologies and their application in Marketing. Fundamental soft technology marketing project management. Complete Project Management process: from design thinking to the final product. Word-Press Analytics with Active Member 360 Plug-in. Research and development of the Case Study: Main conclusions regarding the benefit of the use of A.I. on business performance. Benefits of using A.I. and increasing profits.