Diploma in Artificial Intelligence and Analytical Database

Program Overview

The Diploma in Artificial Intelligence and Analytical Database equips students with expertise in AI implementation, data management, and digital marketing. It covers topics such as AI concepts, Martech integration, Big Data analysis, and AI applications in digital marketing. The program aims to develop students' skills in managing information effectively and preparing them for careers in the field of AI and data analytics.

Program Outline

Degree Overview:

• Overview:
The Diploma in Artificial Intelligence and Analytical Database provides comprehensive training in AI implementation, leveraging Martech, Big Data, E-commerce, and Digital Marketing to equip students with the skills to manage information effectively. It also includes a Spanish language course.
• Objectives:
The program aims to develop students' expertise in AI and Database development, empowering them to control and manage information like professionals. They will gain proficiency in programming languages like Python and R, master data storage environments and data warehouses, create Big Data projects, and understand data models.

Outline:

• Module 1: Introduction to Artificial Intelligence
• Identification of basic AI concepts, including its characterization, business implications, and various types of models.
• Differentiation between AI, Machine Learning, and Deep Learning.
• Socio-economic applications of AI and its impact on industries and the digital economy.
• Demonstration of the effects of robotization on human tasks.
• Module 2: Martech, Big Data, and E-commerce
• Exploration of the integration of digital marketing concepts into AI through Martech.
• Relationship between AI and digital marketing, including collaborative economies and the autonomous era.
• Analysis of the "Data Market" in the Spanish context and its impact on traditional economies.
• Module 3: Digital Marketing
• Characterization of Digital Marketing fundamentals and strategic elements.
• Configuration of web metrics dashboards using key performance indicators (KPIs) for monitoring purposes.
• Implementation of Growth Hacking techniques.
• Calculation and analysis of digital business metrics.
• Execution of customer-centric digital marketing strategies through CRM tools.
• Study and analysis of paid and organic media.
• Module 4: AI Applications in Marketing Digital
• Development and application of AI solutions in digital content management, including content generation and curation on social media, and programmatic search engine advertising.
• Identification of communication and assistance tools in digital marketing, such as Voice Search and virtual assistants.
• Analysis of online user behavior in E-commerce.
• Utilization of Marketing Automation tools for enhancing customer experience.
• Web Design and User Experience (UX) monitoring tools.
• Implementation of Predictive Analytics to optimize customer lifetime value and reduce churn.
• Module 5: IA and Marketing Automation
• Examination of Customer Experience and its strategic importance.
• Development of a comprehensive Conversion Funnel methodology for digital marketing.
• Implementation of AI in Automation Marketing strategies.
• Development of end-to-end solutions for E-mail Marketing, product recommendations, push notifications, automated CRM, and UX-based automated emails.
• Demonstration of the E-commerce platform WordPress.
• Module 6: IA Business Case Applied to Business Digital
• Application of Agile Methodologies in Marketing, including project management principles.
• Implementation of WordPress Analytics using the Active Member 360 Plug-in.
• Research and development of a Case Study to demonstrate the benefits and increased profitability of using AI in business.