You will delve into Dashboard creation through 150 hours of the best digital teaching"

More and more companies are realizing the benefits of developing mobile applications with machine learning. An example of this is that they personalize the user experience by adapting to their preferences, including the individualization of content, product recommendations and even responses to voice commands or gestures. Aware of this, institutions are constantly demanding the incorporation of professionals in this field. In order to take advantage of this opportunity and gain a competitive edge, specialists need to keep abreast of the advances that have been made in this area.

To facilitate this update, TECH is launching a Postgraduate certificate that will delve deeper into the configuration of mobile development environments for AI projects. In this way, the curriculum will delve into the creation of a Workspace with GitHub Copilot, with the aim of enabling experts to write code in a more efficient way. Along the same lines, the agenda will focus on the use of Firebase services, including the database, authentication and notifications. In addition, the program will provide advanced strategies for managing real-time data and events in mobile applications. 

As for the training methodology, TECH is based on the revolutionary Relearning teaching method, so that professionals learn with less effort and more performance. In this way they will have a natural and progressive learning, without the need to resort to traditional techniques such as memorization. In this sense, the university program offers a series of didactic resources in a 100% online format, which gives the student total freedom to coordinate their daily activities, whether personal or professional, with their study time, as they will not be subject to any fixed schedule.  

You will create Detail Screens to provide advanced features such as graphics display. And only in 150 hours with this program!"

This Postgraduate certificate in Mobile Application Development with Artificial Intelligence 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 Artificial Intelligence in programming
• 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 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

Implement Security and Data Protection Techniques in the Authentication Screen”

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 apply the most effective strategies for Real-Time Data and Event Management in Firebase-enabled Mobile Applications"

Thanks to the revolutionary Relearning methodology, you will integrate all the knowledge in an optimal way to successfully achieve the results you are looking for"

This program will provide students with the necessary skills to develop Mobile Applications with Machine Learning. The curriculum will explore the creation of Workspace with GitHub Copilot, which will help computer scientists to write code quickly. The curriculum will also delve into the implementation of Dashboards, in order to implement efficient navigation systems in applications. In tune with this, the training will address multiple strategies aimed at efficient loading of real-time data on the screen with listing. In addition, students will create attractive Icons, Splash and Graphic Resources to enrich applications.

This program gives you the opportunity to update your knowledge in a real scenario, with the maximum scientific rigor of an institution at the forefront of technology"

Module 1. AI-enabled Mobile Applications  

1.1. Preparation of Working Environment for Mobile Development with AI

1.1.1. Configuration of Mobile Development Environments for Projects with Artificial Intelligence
1.1.2. Selection and Preparation of Specific Tools for  Mobile Application Development with AI
1.1.3. Integration of AI Libraries and Frameworks in Mobile Development Environments
1.1.4. Configuration of Emulators and Real Devices for Testing Mobile Applications with AI Components

1.2. Creating a Workspace with GitHub Copilot

1.2.1. Integration of GitHub Copilot in Mobile Development Environments
1.2.2. Effective Use of GitHub Copilot for Code Generation in AI Projects
1.2.3. Strategies for Developer Collaboration when using GitHub Copilot in the Workspace
1.2.4. Best Practices and Limitations in the Use of GitHub Copilot in Mobile Application Development with AI

1.3. Firebase Configuration

1.3.1. Initial Configuration of a Firebase Project for Mobile Development
1.3.2. Firebase Integration in Mobile Applications with Artificial Intelligence Functionalities
1.3.3. Use of Firebase Services as a Database, Authentication and Notifications in AI Projects
1.3.4. Strategies for Real-Time Data and Event Management in Firebase-enabled Mobile Applications

1.4. Concepts of Clean Architecture, DataSources, Repositories    

1.4.1. Fundamental Principles of Clean Architecture in Mobile Development with AI
1.4.2. Implementation of DataSources and Repositories Layers in Clean Architectures
1.4.3. Design and Structuring of Components in Mobile Projects with a Focus on Clean Architecture
1.4.4. Benefits and Challenges of Implementing Clean Architecture in Mobile Applications with AI

1.5. Authentication Screen Creation

1.5.1. Design and Development of User Interfaces for Authentication Screens in Mobile Applications with AI
1.5.2. Integration of Authentication Services with Firebase in the Login Screen    
1.5.3. Use of Security and Data Protection Techniques in the Authentication Screen
1.5.4. Personalization and Customization of the User Experience on the Authentication Screen

1.6. Dashboardand Navigation Creation

1.6.1. Dashboard Design and Development with Artificial Intelligence Elements
1.6.2. Implementation of Efficient Navigation Systems in Mobile Applications with AI
1.6.3. Integration of AI Functionalities in the Dashboard to Improve User Experience

1.7. Creation of Listing Screen

1.7.1. Development of User Interfaces for AI-enabled Mobile Application Listing Displays
1.7.2. Integration of Recommendation and Filtering Algorithms in the Listing Screen
1.7.3. Use of Design Patterns for Effective Data Presentation in the Listing Screen
1.7.4. Strategies for Efficient Real-Time Data Loading in the Listing Screen

1.8. Creating Detail Screen    

1.8.1. Design and Development of Detailed User Interfaces for the Presentation of Specific Information    
1.8.2. Integration of AI Functionalities to Enrich the Detail Screen
1.8.3. Implementation of Interactions and Animations in the Detail Screen
1.8.4. Strategies for Performance Optimization in Loading and Detail Display in AI-enabled Mobile Applications

1.9. Creating Settings Screen

1.9.1. Development of User Interfaces for Configuration and Settings in AI-enabled Mobile Applications
1.9.2. Integration of Custom Settings Related to AI Components
1.9.3. Implementing Customization Options and Preferences in the Configuration Screen
1.9.4. Strategies for Usability and Clarity in the Presentation of Options in the Settings Screen

1.10. Creating Icons, Splash  and Graphic Resources for Your App with AI    

1.10.1. Designing and Creating Attractive Icons to Represent Your AI Mobile Application
1.10.2. Developing Splash Screens with Impressive Visual Elements
1.10.3. Selection and Adaptation of Graphic Resources to Enhance the Aesthetics of the Mobile Application
1.10.4. Strategies for Consistency and Visual Branding in AI Application Graphics Elements 

As it is an online Postgraduate certificate, you will be able to combine your studies with the rest of your daily activities”