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

Preparing the work environment for mobile development with Artificial Intelligence is essential to ensure that developers can create highly effective applications. This procedure ensures that computer scientists have access to all the necessary tools to work with Machine Learning (such as development frameworks, specialized hardware or powerful graphics cards). In this regard, the proper configuration of installations is essential to address issues related to the security of data handling on the devices. In this way, professionals will take advantage of all available resources to create the most attractive applications.

In order to help them in this task, TECH is launching a revolutionary program that will delve into the specificities of mobile applications using Artificial Intelligence. The curriculum will help students create Workspace spaces with Github copilot. In addition, the syllabus will place special emphasis on Firebase configuration so that graduates can get the most out of this development platform created by Google. It will also cover essential concepts such as Clean Architecture, Datasources  and

Repositories. On the other hand, students will learn how to build dashboards from scratch, so that leaders can make informed decisions and identify trends, problems or opportunities.

For this learning, students will have a 100% online platform and various multimedia resources. At the same time, TECH's Relearning methodology will favor the development of competencies and the mastery of complex concepts in a faster, more efficient and flexible way. All this with a university program that will not be subject to rigid schedules so that each graduate can choose the time and place to focus on this Postgraduate certificate. The only requirement is that students have a digital device (such as a cell phone, tablet or computer) to enter the Virtual Campus and access a myriad of teaching resources characterized by their dynamism.

You will face real and simulation cases, having to test your acquired knowledge"

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 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

At your own speed! The Relearning methodology used in this program will allow you to learn in an autonomous and progressive way"

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.

Access all the specialized knowledge about how the settings screen works in this 100% online Postgraduate certificate"

You will get into the fundamentals of Mobile Applications including Clean Architecture, Datasourses and Repositories"

Given the importance of mobile applications, this Postgraduate certificate will guide students in the development of this subject using Artificial Intelligence. The curriculum will delve into the creation of Workspaces using Github Copilot, which will help developers to write code quickly. The syllabus will delve into Firebase configuration, an indispensable element for applications to be able to use Google services. The course materials will also explore key concepts of Clean Architecture, offering guidance in the creation of both diverse screens and essential functions for mobile programs powered by Machine Learning.

You will delve into programming architectures oriented to the development of applications on mobile devices with Artificial Intelligence"

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. DevelopingSplash 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

Get a qualification in a specialized program and obtain the profile desired by the most demanding companies in the telecommunications sector"