Thanks to Digital Marketing and E-Commerce Automation with AI, you will boost your company's efficiency and sustainable growth.  All through didactic materials at the forefront of technology and educational vanguard!”

Digital Marketing and eCommerce Automation, backed by Artificial Intelligence, offer a synergy that drives business success. In fact, eCommerce automation streamlines key processes, from inventory management to customer service, optimizing operational efficiency. In addition, AI powers advanced data analytics, offering valuable insights into consumer behavior and market trends.

For this reason, TECH has developed this Postgraduate diploma, a comprehensive program that covers the latest advances in technology to enhance effective digital strategies. In this way, graduates will delve into AI applications, learning to implement content personalization and recommendations using tools such as Adobe Sensei and Optimizely, to automate strategic decision-making processes. Sentiment and emotion analysis in content marketing with HubSpot will also be explored.

Likewise, students will learn how to personalize the user experience according to their behavior and preferences. In addition, navigation and usability of the website will be optimized through predictive analysis of user behavior and process automation. They will also explore strategies to implement personalized offers, product recommendations and customer satisfaction tracking.

Finally, participants will be able to integrate AI into the conversion funnel, implementing chatbots and virtual assistants for 24/7 customer service. Finally, future trends of Artificial Intelligence in Marketing and E-Commerce will be addressed with REkko, providing a comprehensive understanding and practical skills to lead innovative strategies in the current landscape.

In this way, this program will offer the graduate the freedom to adapt it to their convenience, allowing them to study anywhere, anytime. With just one device connected to the network, you will have full access to all study materials. Likewise, this approach is supported by the Relearning methodology, consisting of the repetition of fundamental concepts to ensure a deep understanding of the content.

Digital Marketing, E-Commerce Automation and Artificial Intelligence will allow you to perform precise audience targeting, content personalization and more effective advertising strategies”

This Postgraduate diploma in Digital Marketing and E-Commerce Automation with Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include:

• Development of practical cases presented by experts in Digital Marketing and E-Commerce Automation with Artificial Intelligence
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable 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

Through the extensive library of innovative multimedia resources, you will be able to detect and prevent fraud in transactions with the Sift tool, with all the quality guarantees of TECH”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this specializing 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 course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

This 100% online Postgraduate diploma will provide you with the skills and knowledge necessary to excel in a constantly evolving digital environment"

You will implement content personalization and recommendations, using Adobe Sensei, and automate strategic processes with Optimizely, to optimize campaign performance"

From advanced Digital Marketing strategies, to the efficient implementation of automation tools, supported by Artificial Intelligence, the program contents are designed to provide graduates with essential skills and knowledge. This will include the practical application of AI in content personalization, data analysis, automation of strategic decision making processes and improving customer experience. In addition, you will address fundamental aspects such as ethics and responsibility in the use of AI, ensuring a complete and balanced understanding of the implications in the digital domain.

You will delve into aspects such as fraud prevention, ethics in the use of data and the exploration of future trends in Marketing and eCommerce”

Module 1. Artificial Intelligence Applications in Digital Marketing and E-Commerce

1.1. Artificial Intelligence in Digital Marketing and E-Commerce

1.1.1. Content Personalization and Recommendations with Adobe Sensei
1.1.2. Audience Segmentation and Market Analysis
1.1.3. Predicting Trends and Buying Behavior

1.2. Digital Strategy with Optimizely

1.2.1. Incorporation of AI in Strategic Planning
1.2.2. Process Automation
1.2.3. Strategic Decisions

1.3. Continuous Adaptation to Changes in the Digital Environment

1.3.1. Strategy for the Management of Change
1.3.2. Adaptation of Marketing Strategies
1.3.3. Innovation

1.4. Content Marketing and Artificial Intelligence with Hub Spot

1.4.1. Content Personalization
1.4.2. Title and Description Optimization
1.4.3. Advanced Audience Segmentation
1.4.4. Sentiment Analysis
1.4.5. Content Marketing Automation

1.5. Automatic Content Generation

1.5.1. Content Optimization for SEO
1.5.2. Engagement
1.5.3. Analysis of Feelings and Emotions in the Content

1.6. AI in Inbound Marketing Strategies with Evergage

1.6.1. Growth Strategies based on Artificial Intelligence
1.6.2. Identifying Content and Distribution Opportunities
1.6.3. Use of Artificial Intelligence in the Identification of Business Opportunities

1.7. Automation of Workflows and Lead Tracking with Segment

1.7.1. Data Collection
1.7.2. Lead Segmentation and Lead Scoring
1.7.3. Multichannel Follow-up
1.7.4. Analysis and Optimization

1.8. Personalizing User Experiences Based on the Buying Cycle with Autopilot

1.8.1. Personalized Content
1.8.2. User Experience Automation and Optimization
1.8.3. Retargeting

1.9. Artificial Intelligence and Digital Entrepreneurship

1.9.1. Growth Strategies based on Artificial Intelligence
1.9.2. Advanced Data Analysis
1.9.3. Price Optimization
1.9.4. Sector-specific Applications

1.10. Artificial Intelligence Applications for Startups and Emerging Companies

1.10.1. Challenges and Opportunities
1.10.2. Sector-specific Applications
1.10.3. Integration of Artificial Intelligence into Existing Products

Module 2. Artificial Intelligence and User Experience in Digital Marketing

2.1. Personalization of the User Experience based on Behavior and Referrals

2.1.1. Personalization of Content thanks to Artificial Intelligence
2.1.2. Virtual Assistants and Chatbots with Cognigy
2.1.3. Intelligent Recommendations

2.2. Optimization of Web Site Navigation and Usability using Artificial Intelligence

2.2.1. Optimization of the User Interface
2.2.2. Predictive Analysis of User Behavior
2.2.3. Automation of Repetitive Processes

2.3. Virtual Assistance and Automated Customer Support with Dialogflow

2.3.1. Artificial Intelligence Sentiment and Emotion Analysis
2.3.2. Problem Detection and Prevention
2.3.3. Automation of Customer Support with Artificial Intelligence

2.4. Artificial Intelligence and Personalization of the Customer Experience with Zendesk Chat

2.4.1. Personalized Product Recommender 
2.4.2. Personalized Content and Artificial Intelligence
2.4.3. Personalized communication

2.5. Real-time Customer Profiling

2.5.1. Personalized Offers and Promotions
2.5.2. User Experience Optimization
2.5.3. Advanced Audience Segmentation

2.6. Personalized Offers and Product Recommendations

2.6.1. Tracking and Retargeting Automation
2.6.2. Personalized Feedback and Surveys
2.6.3. Customer Service Optimization

2.7. Customer Satisfaction Tracking and Forecasting

2.7.1. Sentiment Analysis with Artificial Intelligence Tools
2.7.2. Tracking of Key Customer Satisfaction Metrics
2.7.3. Feedback Analysis with Artificial Intelligence Tools

2.8. Artificial Intelligence and Chatbots in Customer Service with Ada Support

2.8.1. Detection of Dissatisfied Customers
2.8.2. Predicting Customer Satisfaction
2.8.3. Personalization of Customer Service with Artificial Intelligence

2.9. Development and Training of Chatbots for Customer Service with Itercom

2.9.1. Automation of Surveys and Satisfaction Questionnaires
2.9.2. Analysis of Customer Interaction with the Product/Service
2.9.3. Real-time Feedback Integration with Artificial Intelligence

2.10. Automation of Responses to Frequent Inquiries with Chatfuel

2.10.1. Competitive Analysis
2.10.2. Feedbacks and Responses 
2.10.3. Generation of Queries/Responses with Artificial Intelligence Tools

Module 3. Artificial Intelligence to Automate e-Commerce Processes

3.1. E-Commerce Automation with Algolia

3.1.1. Customer Service Automation
3.1.2. Price Optimization
3.1.3. Personalization of Product Recommendations

3.2. Automation of Purchasing and Inventory Management Processes with Shopify Flow

3.2.1. Inventory and Logistics Management
3.2.2. Fraud Detection and Fraud Prevention
3.2.3. Sentiment Analysis

3.3. Integration of Artificial Intelligence in the Conversion Funnel 

3.3.1. Sales and Performance Data Analysis
3.3.2. Data Analysis at the Awareness Stage
3.3.3. Data Analysis at the Conversion Stage

3.4. Chatbots and Virtual Assistants for Customer Service 

3.4.1. Artificial Intelligence and 24/7 Assistance
3.4.2. Feedbacks and Responses 
3.4.3. Generation of Queries/Responses with Artificial Intelligence Tools

3.5. Real-time Price Optimization and Product Recommender thanks to Artificial Intelligence with the Google Cloud AI Platform.

3.5.1. Competitive Price Analysis and Segmentation 
3.5.2. Dynamic Price Optimization
3.5.3. Price Sensitivity Forecasting

3.6. Fraud Detection and Prevention in e-Commerce Transactions with Sift 

3.6.1. Anomaly Detection with the Help of Artificial Intelligence
3.6.2. Identity Verification
3.6.3. Real-time Monitoring with Artificial Intelligence
3.6.4. Implementation of Automated Rules and Policies

3.7. Artificial Intelligence Analysis to Detect Suspicious Behavior

3.7.1. Analysis of Suspicious Patterns
3.7.2. Behavioral Modeling with Artificial Intelligence Tools
3.7.3. Real-time Fraud Detection 

3.8. Ethics and Responsibility in the Use of Artificial Intelligence in E-Commerce

3.8.1. Transparency in the Collection and Use of Data Using Artificial Intelligence Tools with Watson
3.8.2. Data Security
3.8.3. Responsibility for Design and Development with Artificial Intelligence

3.9. Automated Decision Making with Artificial Intelligence with Watson Studio

3.9.1. Transparency in the Decision-Making Process
3.9.2. Accountability for Results
3.9.3. Social Impact 

3.10. Future Trends in Artificial Intelligence in the Field of Marketing and E-Commerce with REkko

3.10.1. Marketing and Advertising Automation
3.10.2. Predictive and Prescriptive Analytics 
3.10.3. Visual e-Commerce and Search
3.10.4. Virtual Shopping Assistants

TECH content is designed to provide you with the tools and skills you need to lead successfully in an ever-evolving digital world”