Explore future trends in Machine Learning Content Generation through this 100% online university program”

The use of Machine Learning in Email Marketing helps professionals design more effective and personalized advertising campaigns. This leads to higher conversion rates, implying greater retention by consumers. In addition, this smart technology serves to predict future customer behavior, such as the probability of cancellation of goods or services. In this way, experts can take proactive measures to avoid losses or other related problems.  

Aware of its importance,TECH develops an innovative program aimed at individualizing and automating campaigns. The syllabus will delve into multiple resources to optimize communication processes with users, including Virtual Assistants. Also, the syllabus will delve into ethical considerations to ensure a responsible use of Artificial Intelligence in the generation of content such as videos or texts. The program will also offer exhaustive analysis of success stories in information production through Cognitive Computing.  Even the teaching materials will delve into future trends in this area so that graduates develop innovative proposals with which to raise their professional horizons.  

To consolidate all this content, TECH follows a modern methodology 100% online, which allows professionals to complete their knowledge update without the need to make uncomfortable daily trips to study centers. On the other hand, students will have at their disposal excellent teaching materials present in a variety of textual and multimedia formats (highlighting readings, explanatory videos, infographics or assessment exercises). Thanks to this, you will enjoy a fully enjoyable and individualized learning. This will enable specialists to take advantage of the wide range of opportunities offered by a constantly evolving technology sector.  

You will stand out for optimizing both prices and promotions using the latest technological systems”

This Postgraduate diploma in Management and Execution of Optimized Digital Marketing Strategies using Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Artificial 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 self-assessment can be used 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 take into account during their procedures the feelings of customers thanks to the analysis of their feedbacks on platforms such as Facebook or X" 

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 generate advanced texts through Artificial Intelligence, for later publication in both blogs and social media"

You will have access to a learning system based on repetition, with natural and progressive teaching throughout the entire syllabus"

With this Postgraduate diploma, students will acquire a comprehensive approach on the most effective AI strategies in marketing. The program will provide tools to optimize customer relationships (among which Chatbots, Big Data and Email Marketingstand out). Graduates will customize and automate their advertising campaigns for greater reach. The syllabus will also delve into Content Generation, using tools such as ChatGPT. In turn, the materials will analyze the feelings of customers taking advantage of the feedbacks they provide through social media. Experts will learn about their customers' behaviors and deliver enhanced digital experiences.   

TECH is a university at the forefront of technology, which puts all its resources at the student's disposal to help them achieve business success"   

Module 1. Artificial Intelligence in Digital Marketing Strategies

1.1. Digital Marketing Transformation with AI

1.1.1. Introduction to Digital Transformation
1.1.2. Impact on Content Strategy
1.1.3. Automation of Marketing Processes
1.1.4. Customer Experience Development

1.2. AI Tools for SEO and SEM

1.2.1. Keyword Optimization with AI
1.2.2. Competition Analysis
1.2.3. Search Trend Prediction
1.2.4. Intelligent Audience Segmentation

1.3. Application of AI in Social Media

1.3.1. Sentiment Analysis
1.3.2. Social Trend Detection
1.3.3. Publication Automation
1.3.4. Automated Content Generation

1.4. AI Tools for Customer Communication

1.4.1. Personalized Chatbots
1.4.2. Automated E-mail Response Systems
1.4.3. Real-Time Response Optimization
1.4.4. Customer Feedback Analysis

1.5. Personalization of the User Experience of AI-enabled Tools and Websites

1.5.1. Personalized Recommendations
1.5.2. User Interface Adaptation
1.5.3. Dynamic Audience Segmentation
1.5.4. Intelligent A/B Testing

1.6. Chatbots and Virtual Assistants in Digital Marketing

1.6.1. Proactive Interaction
1.6.2. Multichannel Integration
1.6.3. Contextual Responses
1.6.4. Conversation Analytics

1.7. Programmatic Advertising with AI

1.7.1. Advanced Targeting
1.7.2. Real-Time Optimization
1.7.3. Automatic Bidding
1.7.4. Results Analysis

1.8. Predictive Analytics and Big Data in Digital Marketing

1.8.1. Prediction of Market Trends
1.8.2. Advanced Attribution Models
1.8.3. Predictive Audience Segmentation
1.8.4. Sentiment Analysis in Big Data

1.9. AI and Email Marketing for Personalization and Automation in Campaigns

1.9.1. Dynamic List Segmentation
1.9.2. Dynamic Content in Emails
1.9.3. Workflow Automation
1.9.4. Open Rate Optimization

1.10. Future Trends in AI for Digital Marketing

1.10.1. Advanced Conversational AI
1.10.2. Augmented Reality Integration
1.10.3. Emphasis on AI Ethics
1.10.4. AI in Content Creation

Module 2. Content Generation with AI

2.1. Prompt Engineering in ChatGPT

2.1.1. Improving the Quality of the Generated Content
2.1.2. Strategies to Optimize Model Performance
2.1.3. Designing Effective Prompts

2.2. AI Image Generation Tools

2.2.1. Object Recognition and Generation
2.2.2. Applying Custom Styles and Filters to Images
2.2.3. Methods to Improve the Visual Quality of Images

2.3. Creating Videos with AI

2.3.1. Tools to Automate Video Editing
2.3.2. Voice Synthesis and Automatic Dubbing
2.3.3. Techniques for Object Tracking and Animation

2.4. Text Generation with AI for Blogging and Social Media

2.4.1. Strategies for Improving SEO Positioning in Generated Content
2.4.2. Using AI to Predict and Generate Content Trends
2.4.3. Creation of Attractive Headlines

2.5. Personalizing Content with AI for Different Audiences

2.5.1. Identification and Analysis of Audience Profiles
2.5.2. Dynamic Adaptation of Content according to User Profiles
2.5.3. Predictive Audience Segmentation

2.6. Ethical Considerations for the Responsible Use of AI in Content Generation

2.6.1. Transparency in Content Generation
2.6.2. Prevention of Bias and Discrimination in Content Generation
2.6.3. Control and Human Supervision in Generative Processes

2.7. Analysis of Successful Cases in Content Generation with AI

2.7.1. Identification of Key Strategies in Successful Cases
2.7.2. Adaptation to Different Sectors
2.7.3. Importance of Collaboration between AI Specialists and Industry Practitioners

2.8. Integration of AI-generated Content in Digital Marketing Strategies

2.8.1. Optimization of Advertising Campaigns with Content Generation
2.8.2. User Experience Personalization
2.8.3. Automation of Marketing Processes

2.9. Future Trends in the Generation of Content with AI

2.9.1. Advanced and Seamless Integration of Text, Image and Audio
2.9.2. Hyper-personalized Content Generation
2.9.3. Improved AI Development in Emotion Detection

2.10. Evaluating and Measuring the Impact of AI-generated Content

2.10.1. Appropriate Metrics to Evaluate the Performance of Generated Content
2.10.2. Measurement of Audience Engagement
2.10.3. Continuous Improvement of Content through Analysis

Module 3. Automation and Optimization of Marketing Processes with AI

3.1. Marketing Automation with AI

3.1.1. AI-based Audience Segmentation
3.1.2. Workflow Automation
3.1.3. Continuous Optimization of Online Campaigns

3.2. Integration of Data and Platforms in Automated Marketing Strategies

3.2.1. Analysis and Unification of Multichannel Data
3.2.2. Interconnection between Different Marketing Platforms
3.2.3. Real-time Data Updating

3.3. Optimization of Advertising Campaigns with AI

3.3.1. Predictive Analysis of Ad Performance
3.3.2. Automatic Personalization of the Advertisement according to the Target Audience
3.3.3. Automatic Budget Adjustment according to Results

3.4. Audience Personalization with AI

3.4.1. Content Segmentation and Personalization
3.4.2. Personalized Content Recommendations
3.4.3. Automatic Identification of Homogeneous Audiences or Groups

3.5. Automation of Responses to Customers through AI

3.5.1. Chatbots and Machine Learning
3.5.2. Automatic Generation of Responses
3.5.3. Automatic Problem Solving

3.6. AI in Email Marketing for Automation and Personalization

3.6.1. Automation of Email Sequences
3.6.2. Dynamic Personalization of Content according to Preferences
3.6.3. Intelligent Segmentation of Mailing Lists

3.7. Sentiment Analysis with AI in Social Media and Customer Feedback

3.7.1. Automatic Sentiment Monitoring in Comments
3.7.2. Personalized Responses to Emotions
3.7.3. Predictive Reputation Analytics

3.8. Price and Promotion Optimization with AI

3.8.1. Automatic Price Adjustment based on Predictive Analytics
3.8.2. Automatic Generation of Offers Adapted to User Behavior
3.8.3. Real-time Competitive and Price Analysis

3.9. Integration of AI into Existing Marketing Tools

3.9.1. Integration of AI Capabilities with Existing Marketing Platforms
3.9.2. Optimization of Existing Functionalities
3.9.3. Integration with CRM Systems

3.10. Trends and Future of Automation with AI in Marketing

3.10.1. AI to Improve User Experience
3.10.2. Predictive Approach to Marketing Decisions
3.10.3. Conversational Advertising

This university program will allow you to fulfill your professional aspirations in just 6 months. What are you waiting for to enroll?"