Optimize Advertising Campaigns in the best digital university in the world according to Forbes"

To differentiate themselves from their competitors, companies engaged in Digital Marketing seek to implement the most advanced Machine Learning tools to improve their websites. In this sense, companies make it a top priority to personalize user experiences in order to establish relationships based on trust and loyalty. One of the most effective tools in this regard is Chatbots or Virtual Assistants. These intelligent systems provide personalized attention to customers throughout the day.  They help to resolve consumer queries globally and to maintain a constant online presence.

In view of this, TECH launches an innovative program that will offer experts the most effective AI strategies in online advertising. Designed by experts in the field, the syllabus will delve into Predictive Analytics and Big Data. In line with this, the syllabus will emphasize Email Marketing for campaign personalization. Likewise, the didactic materials will delve into the application of Machine Learning in market research and for the visualization of significant data. On the other hand, the program will address specific techniques for Leads generation with AI and the integration of Autonomous Systems in competitive analysis.

In addition, the academic itinerary is designed with a theoretical-practical perspective and has numerous complementary didactic materials to strengthen learning in a dynamic way (including interactive summaries, detailed videos or case studies). Students will be able to access the Virtual Campus at any time of the day. The only requirement is that students have a digital device capable of accessing the Internet. This is a university program that does not require attendance at centers and does not have pre-set class schedules. Professionals will thus have greater freedom to self-manage their access time and reconcile their daily activities with top-quality teaching.

You will be able to eliminate the noise of automatic coders to improve users' digital experiences”

This professional master’s degree in Artificial Intelligence in Marketing and Communication contains the most complete and up-to-date educational program on the market. Its most notable features are:

• The development of case studies presented by experts inArtificial Intelligence in Marketing and Communication
• The graphic, schematic and eminently practical content of the system provides complete and practical information on those disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will acquire the most effective skills to incorporate Machine Learning resources into sales management”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.   

You will optimize the effectiveness of your marketing strategies by fostering a closer and more personalized relationship with customers"

Take advantage of all the benefits of the Relearning methodology: it will allow you to organize your time and study pace, adapting to your schedule"

This program will provide graduates with a comprehensive understanding of how AI is capable of transforming the Marketing and Communication industry. Students will also be highly qualified to design innovative strategies based on accurate data and predictive analytics. Thanks to this, experts will drive campaigns defined by both their personalization and optimization of relationships with the public. In addition, they will take advantage of Machine Learning mechanisms to anticipate user needs and learn about the latest trends in AI.

TECH puts the most innovative multimedia resources in the academic landscape at your fingertips so that you can achieve success in Marketing and Communication”

General Objectives

• Understand the fundamentals of how AI is transforming Digital Marketing strategies
• Develop, integrate and manage chatbots and virtual assistants to improve customer interactions
• Delve into the automation and optimization of online ad buying through programmatic advertising with AI
• Interpret large volumes of data for strategic decision making in Digital Marketing
• Apply AI to email marketing strategies for personalization and campaign automation
• Explore emerging trends in AI for Digital Marketing and understand their potential impact on the industry

Specific Objectives

Module 1. Fundamentals of Artificial Intelligence 

• Understand the fundamental concepts of Artificial Intelligence applied to Digital Marketing, including its evolution and impact on business strategies
• Apply specific AI tools for search engine optimization, improving the visibility and effectiveness of digital campaigns
• Develop skills to implement chatbots and virtual assistants, improving customer interaction and personalization of experiences

Module 2. Data Types and Data Life Cycle

• Perform the most descriptive statistics, taking into account factors ranging from the population to its sources
• Properly differentiate the data life cycle, taking into account the FAIR Principles
• Employ the Gantt Chart tool to manage both projects and communication of planning and scheduling tasks
• Perform data collection and data cleansing functions
• Acquire an extensive knowledge of regulatory issues such as the Data Protection Act

Module 3. Data in Artificial Intelligence 

• Implement advanced automation techniques, such as advertising campaign optimization and efficient CRM management with AI-based tools
• Develop skills in lead identification and qualification using AI, improving effectiveness in both lead generation and lead management
• Apply sentiment analysis with AI in social networks and customer feedback, optimizing interaction to improve brand perception

Module 4. Data Mining. Selection, Pre-Processing and Transformation

• Gaining extensive insight into statistical inference
• Perform effective treatments of missing values, applying maximum likelihood imputation methods
• Select data based on major perspectives and criteria
• Drive data preprocessing work in Big Data environments

Module 5. Algorithm and Complexity in Artificial Intelligence

• Understand the fundamentals of algorithmics and computational complexity in the context of AI
• Become familiar with the key concepts of algorithms, data structures and algorithm design techniques used in applications
• Study and apply search, optimization and Machine Learning algorithms in AI problems
• Explore how existing algorithms can be improved and new algorithms developed to address AI challenges
• Develop practical skills in the implementation and evaluation of algorithms

Module 6. Intelligent Systems 

• Analyze in depth the Theory of Agents, to know what factors influence AI and software engineering
• Perform an effective evaluation of data quality, keeping in mind the distinction between information and knowledge
• Build domain ontologies at a higher level and master their respective languages
• Delve into the current and future state of the semantic web in order to carry out innovation processes

Module 7. Machine Learning and Data Mining 

• Delve deeply into the key concepts of Machine Learning discovery processes
• Explore data processing, visualization and exploration of variables
• Master the mechanisms of Neural Networks, using the Backpropagation Algorithm appropriately
• Analyze text mining and natural language processing

Module 8. Neural Networks, the Basis of Deep Learning

• Obtain a comprehensive view on Deep Learning and its various applications in the communication domain
• Design architectures taking into account the connection between layers and forward propagation
• Build Neural Networks establishing both weights and training
• Apply the basic principles of Neural Networks, adjusting parameters as necessary
• Implement MLP with Keras

Module 9. Deep Neural Networks Training

• Identify Gradient problems and perform techniques to optimize them
• Perform learning rate scheduling by applying smoothing terms
• Acquire practical guidelines in model design, selection of metrics and evaluation parameters
• Execute maximum entropy regularization procedures

Module 10. Model Customization and Training with TensorFlow 

• Conduct model training with TensorFlow, performing operations with graphs
• Effectively customize models and training algorithms
• Gain a broad understanding of TensorFlow functions and graphs
• Use the tfdata API for data processing
• Elaborate Deep Learning applications with the most advanced TensorFlow tools

Module 11. Deep Computer Vision with Convolutional Neural Networks  

• Master the CortexVisual Architecture, taking into account the functions of the visual cortex and the theories of computer vision
• Implement a CNN ResNet using Keras
• Perform transfer learning processes, knowing its advantages
• Execute object detection methods and tracking techniques

Module 12. Natural Language Processing (NLP) with Natural Recurrent Networks (NNN) and Attention

• Generate texts using RNN and handle their natural language in an optimal way
• Create training data sets and perform the corresponding cleaning and transformation of the information
• Use encoder-decoder networks for machine translation
• Employ Transformer Models for language vision
• Develop NLP applications with RNN and Attention

Module 13. Autoencoders, GANs and Diffusion Models

• Represent data in an efficient way, reducing dimensionality through deep learning
• Perform PCA processes with an incomplete linear autoencoder
• Eliminate noise from automatic encoders by applying filters and regularization techniques
• Generate fashion MNIST images
• Understand generative adversarial networks and diffusion models

Module 14. Bio-Inspired Computing

• Efficiently employ social adaptation algorithms using ant colony and particle cloud-based computing
• Apply space exploration-exploitation strategies for genetic algorithms
• Delve into the different models of evolutionary computation
• Understand the various uses of Neural Networks in fields such as medical research, economics or computer vision

Module 15. Artificial Intelligence: Strategies and Applications

• Address the implications of AI in financial services, to overcome challenges and take advantage of opportunities
• Understand the implications of Machine Learning in healthcare services, Retail, Education and Public Administrations
• Analyze the latest trends in this field and analyze their challenges for the future

Module 16. Artificial Intelligence in Digital Marketing Strategies

• Perform Digital Marketing transformation processes with AI
• Control the most advanced tools of Machine Learning for customer communication 
• Personalize users' experiences on websites and social networks
• Develop chatbots and virtual assistants in Digital Marketing

Module 17. Content Generation with AI

• Master AI systems for SEO and SEM optimization
• Execute Predictive Analytics and using Big Data in Digital Marketing
• Use Email Marketing for Personalization and Automation in Campaigns
• Analyze future trends in AI for Digital Marketing

Module 18. Automation and Optimization of Marketing Processes with AI 

• Develop Marketing Automation Processes with AI
• Optimize Advertising Campaigns through Machine Learning
• Optimize advertising campaigns through Machine Learning
• Analyze sentiment with AI on social networks, leveraging customer feedback

Module 19. Communication and Marketing Data Analysis for Decision Making  

• Master specific technologies for the analysis of Communication and Marketing data
• Apply AI to the analysis of large volumes of data
• Develop Predictive Analytics for Informed Decision Making
• Improve Marketing strategies with AI

Module 20. Sales and Leads Generation with Artificial Intelligence

• Nurture Leads generation tools and procedures with AI
• Implement Virtual Assistants in Sales Processes
• Predict consumer needs through Machine Learning
• Learn about the main innovations and predictions in the sales field

The skills you will gain after this professional master’s degree will raise your professional horizons and allow you to differentiate yourself from the rest”