Thanks to this 100% online Postgraduate diploma, you will use Artificial Intelligence algorithms in front-end applications for functionalities such as data analysis or personalized recommendations"

The arrival of Industry 4.0. has had a significant impact on the Front-end field, thanks to the implementation of sophisticated technological tools. An example of this is Artificial Intelligence and Machine Learning. These tools serve to personalize the user experience, displaying relevant content based on aspects such as consumer behavior, preferences and demographic characteristics. In addition, algorithms are useful for analyzing user interaction with the interface and using this information to improve the design or layout of elements. For example, they can dynamically adjust the size and position of targets in order to optimize usability. 

In this context, TECH creates a revolutionary Postgraduate diploma in Emerging Technologies in Front-End Using Artificial Intelligence, Augmented Reality and Virtual Reality. The curriculum will provide the most advanced Media Queries techniques for developers to create highly responsive web applications and improve performance on a variety of devices.  At the same time, the academic content will delve into Frameworks tools to develop cross-platform mobile programs. In line with this, the syllabus will delve into the creation of interactive Virtual Reality environments offering cutting-edge techniques for the creation of 3D content. The program will also offer a breakthrough module on the future  of Artificial Intelligence and its integration to optimize user experiences. 

In addition, this academic itinerary is characterized by its 100% online methodology. This modality will provide computer scientists with the necessary flexibility to adapt to their professional schedules. Likewise, the Relearning methodology, based on the repetition of key concepts, will be implemented to fix knowledge and facilitate effective learning. In this way, the combination of accessibility and innovative pedagogical approach will ensure that professionals acquire practical skills, preparing them to overcome specific challenges during the use of Emerging Front-End Technologies.  

Study from the comfort of your home and update your knowledge 100% online with TECH, the best digital university in the world according to Forbes"

This Postgraduate diploma in Emerging Technologies in Front-End Using Artificial Intelligence, Augmented Reality and Virtual Reality contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in Front-End Web Development
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the 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 delve into Debugging Strategies for mobile applications and solve technical problems efficiently" 

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.   

Looking to keep up to date with the latest advances in Emerging Front-End Technologies? Achieve it with this program in only 450 hours"

Thanks to TECH's Relearning, you will assimilate the essential concepts in a fast, natural and accurate way"

With this university program, computer scientists will master Emerging Technologies in Front-End Using Artificial Intelligence, Augmented Reality and Virtual Reality. The pathway will examine the development of responsive interfaces and mobile applications using the latest cutting-edge technologies. Likewise, the agenda will delve into the fundamentals of WebXR for developers to create immersive content that can be experienced through devices compatible with Virtual Reality and Augmented Reality. In addition, the materials will delve into the fusion between Artificial Intelligence and Machine Learning with front-end development, which will open a new horizon of possibilities for the creation of personalized, interactive and accessible user experiences.  

You will incorporate the most innovative adaptive design and prototyping tools into your daily practice to boost your career as a computer scientist” 

Module 1. Mobile Development and Advanced Responsive Design in Front-End 

1.1. Responsive Design in Front-End Web Development 

1.1.1. Advanced Media Query Techniques 
1.1.2. Relative Units and Fluid Design 
1.1.3. Responsive Image Strategies and Vectors 

1.2. Frameworks and Tools for Responsive Design in Front-End Web Development 

1.2.1. Bootstrap, Foundation and Tailwind CSS for Responsive Design 
1.2.2. Adaptive Design and Prototyping Tools 
1.2.3. Automation and Testing of Responsive Design 

1.3. Performance on Mobile Devices  

1.3.1. Optimization of Load and Performance on Mobile Devices 
1.3.2. Efficient Content Delivery Strategies 
1.3.3. Performance Analysis and Monitoring on Real Devices 

1.4. PWA and Mobile Experience 

1.4.1. Development of Progressive Web Apps for an Optimal Mobile Experience 
1.4.2. Integration with Native Device Functions 
1.4.3. Engagement and Re-Engagement Strategies 

1.5. Mobile Accessibility 

1.5.1. Mobile Accessibility Best Practices and Standards 
1.5.2. Testing and Validation of Accessibility on Mobile Devices 
1.5.3. Inclusive Design for Mobile Applications 

1.6. Mobile Navigation and Design Patterns 

1.6.1. Adaptive Navigation Patterns for Mobile 
1.6.2. Design of Intuitive User Interfaces 
1.6.3. Usability and User Experiences in Mobile Contexts 

1.7. Mobile Development Frameworks 

1.7.1. React Native and Vue Native for Native Applications with JavaScript 
1.7.2. Comparison with Native Solutions and Webviews 
1.7.3. Applications and Best Practices 

1.8. Emerging Mobile Technologies 

1.8.1. 5G and Its Impact on Mobile Web Development 
1.8.2. Augmented Reality (AR) and Virtual Reality (VR) in Mobile Contexts 
1.8.3. Integration of Sensors and Specific Hardware 

1.9. Mobile Testing and Debugging 

1.9.1. Tools and Environments for Mobile Testing 
1.9.2. Simulators, Emulators and Testing on Real Devices 
1.9.3. Debugging Strategies for Mobile Applications 

1.10. Future of Mobile Development 

1.10.1. Emerging Trends and the Future of Mobile Development 
1.10.2. Cross-Platform Development and the Future of Native Technologies 
1.10.3. Adapting and Responding to Changes in User Behavior 

Module 2. Augmented and Virtual Reality in Front-End Web Development 

2.1. WebXR from the Front-End Web Development Approach 

2.1.1. WebXR and Its API 
2.1.2. Augmented Reality (AR) and Virtual Reality (VR). Differences 
2.1.3. Compatibility and Hardware Requirements 

2.2. Development of AR Experiences on the Front-End Web 

2.2.1. Use of Frameworks and Libraries for AR (A-Frame, AR.js) 
2.2.2. Integration of AR into Existing Web Applications 
2.2.3. Application and Design Best Practices 

2.3. Creation of Interactive VR Environments in Front-End Web Development 

2.3.1. Design and Development of VR Environments 
2.3.2. Tools and Techniques for the Creation of 3D Content 
2.3.3. Immersive VR Applications in the Browser 

2.4. User Interface and User Experience in WebXR from a Front-End Approach 

2.4.1. UI/UX Design for AR and VR Applications 
2.4.2. Usability and Accessibility 
2.4.3. Strategies for Navigation and Interaction in Immersive Environments 

2.5. Performance Optimization for WebXR from the Front-End Approach 

2.5.1. Specific Optimization Techniques for AR/VR Experiences 
2.5.2. Efficient Handling of Graphics and Computational Resources 
2.5.3. Testing and Performance Monitoring on Different Devices 

2.6. Integration of Sensors and Real-Time Data Using Front-End Technologies 

2.6.1. Use of Device Sensors for Immersive Experiences 
2.6.2. Incorporation of Real-Time Data in AR/VR Applications 
2.6.3. Practical Applications in Specific Industries 

2.7. Mixed Reality and Hybrid Applications from a Front-End Approach 

2.7.1. Mixed Reality (MR) and Its Application in Front-End Web Development 
2.7.2. Development of Experiences that Combine Physical and Virtual Elements 
2.7.3. Practical Applications for Emerging Uses in Education, Training and Commerce 

2.8. Accessibility in WebXR Applications from a Front-End Approach 

2.8.1. Challenges and Solutions for AR/VR Accessibility 
2.8.2. Strategies for Making AR/VR Content Accessible to All Users 
2.8.3. Standards and Guidelines for Inclusion in Immersive Experiences 

2.9. WebXR and the Future of e-Commerce from a Front-End Approach 

2.9.1. AR/VR Applications in e-Commerce 
2.9.2. Improvements in the Shopping Experience and Product Visualization 
2.9.3. Future Trends and Consumer Expectations 

2.10. Emerging Trends and Future of WebXR from a Front-End Approach 

2.10.1. Technological Advances and Their Impact on AR/VR Development 
2.10.2. WebXR on Mobile and Wearable Devices 
2.10.3. Future Visions for AR/VR Integration on the Web 

Module 3. Artificial Intelligence and Machine Learning in Front-End Web Development 

3.1. Artificial Intelligence (AI) and Machine Learning (ML) from a Front-End Approach 

3.1.1. Artificial Intelligence (AI) and Machine Learning (ML) for Front-End Web Developers 
3.1.2. JavaScript Tools and Libraries for AI/ML 
3.1.3. Basic Integration of ML Models in Front-End Applications 

3.2. Frameworks and JavaScript Libraries for ML from a Front-End Approach 

3.2.1. TensorFlow.js and Its Ecosystem 
3.2.2. Creating and Training Models Directly in the Browser 
3.2.3. Examples and Practical Applications 

3.3. Personalization and User Experience Enhanced by AI from a Front-End Approach 

3.3.1. Use of AI for Content Personalization and Recommendations 
3.3.2. Improving the UX with Chatbots and Virtual Assistants 
3.3.3. User Behavior Analysis and Interface Optimization 

3.4. Image Recognition and Natural Language Processing (NLP) from a Front-End Approach 

3.4.1. Implementation of Image Recognition on the Front-End 
3.4.2. Integration of NLP Capabilities to Improve User Interaction 
3.4.3. Tools and APIs Available for Developers 

3.5. Accessibility and Artificial Intelligence (AI) from a Front-End Approach 

3.5.1. AI Applications to Improve Web Accessibility 
3.5.2. Automatic Generation of Image Descriptions 
3.5.3. Adaptive Interfaces Based on User Needs 

3.6. Performance Optimization with Artificial Intelligence (AI) from a Front-End Approach 

3.6.1. Use of Predictive Modeling for Anticipated Resource Loading 
3.6.2. Predictive Analytics for Application Performance Improvement 
3.6.3. Intelligent Caching Strategies 

3.7. Security and Ethics in the Integration of Artificial Intelligence (AI) from a Front-End Approach 

3.7.1. Ethical Considerations in the Use of AI on the Front End 
3.7.2. Bias Prevention and Privacy Assurance 
3.7.3. AI-Based Security Enhancements 

3.8. Testing and Debugging of Artificial Intelligence (AI) Functionalities from a Front-End Approach 

3.8.1. Tools and Techniques for Testing AI Integrations 
3.8.2. Debugging of ML Models in Web Applications 
3.8.3. Validation and Quality Assurance of AI Predictions 

3.9. UI/UX of the Future with Artificial Intelligence (AI) from a Front-End Approach 

3.9.1. Adaptive and Predictive Interface Design 
3.9.2. Examples of Innovative AI- Enhanced UI 
3.9.3. Trends in Interaction Design Based on AI Capabilities 

3.10. Emerging Trends and Future of Artificial Intelligence (AI) from a Front-End Approach 

3.10.1. Advances in Artificial Intelligence (AI) Technologies and their Potential in Web Development 
3.10.2. Generative Artificial Intelligence (AI) and Its Impact on Web Content 
3.10.3. Future Visions for the Integration of Artificial Intelligence (AI) in User Experiences 

This is the most complete and effective Postgraduate Diploma in the academic market. Enroll now!”