Web Application Development with Artificial Intelligence

TECH creates a flexible and 100% online university program to respond to the real needs of professionals”

Web Application Development with Machine Learning takes on great importance for organizations, as it brings numerous advantages to web applications. An example of this is that these resources serve to personalize the user experience, thus adapting to both their preferences and behavior. This results in more relevant and satisfying interactions. In addition, web programs with Artificial Intelligence are able to analyze large volumes of data and provide valuable insights for strategic decision making. This helps companies to better understand their customers, markets and even competitors.

In this context, TECH implements a Postgraduate certificate that will provide the most advanced strategies to improve performance and security in web applications with Artificial Intelligence. The curriculum will delve into the configuration of application development environments, integrating libraries and frameworks. Likewise, the syllabus will address product design patterns, in order for graduates to improve the user experience. In relation to this, the didactic materials will focus on the creation of a project with Artificial Intelligence for LAMP environments. Therefore, the professionals will implement strategies to guarantee the optimization and maintenance of the applications. 

For this learning, they will have a 100% online platform and a variety of multimedia resources. In turn, TECH's Relearning methodology will favor the development of skills and the mastery of complex concepts in a faster, more efficient and flexible way. All of this with a program that will not be subject to rigid schedules so that each graduate can choose the time and place where they will focus on this Postgraduate certificate. The only requirement is that students have an electronic device with Internet access within their reach, in order to access the Virtual Campus and enjoy the most dynamic didactic content available in the academic market.

Do you want to optimize the deployment process on websites? Achieve it in just 6 weeks thanks to this revolutionary program”

The Postgraduate certificate in Web Application Development 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 Artificial Intelligence in Programming 
• 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 

You will deepen your knowledge of product design patterns with Artificial Intelligence and bring the most innovative proposals” 

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 course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will achieve your objectives thanks to TECH's didactic tools, including explanatory videos and interactive summaries"

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

This training will be focused on the practical application of Machine Learning in web projects. Therefore, the academic itinerary will cover from the preparation of the work environment to the efficient deployment. At the same time, the syllabus will delve into the Front-end and Back-end components, so that graduates can offer functional applications. The training will also analyze cloud computing, offering strategies for the efficient management of resources and costs in these environments. In tune with this, the program will help specialists gain diversified experience working on projects with LAMP and MEVN environments. 

You will apply the most advanced techniques to improve both the speed and efficiency of your websites”

Module 1. Website Projects with AI

1.1. Working Environment Preparation for Web Development with AI

1.1.1. Configuration of Web Development Environments for Projects with Artificial Intelligence 
1.1.2. Selection and Preparation of Essential Tools for Web Development with AI 
1.1.3. Integration of Specific Libraries and Frameworks for Web Projects with Artificial Intelligence 
1.1.4. Implementation of Best Practices in the Configuration of Collaborative Development Environments 

1.2. Workspace Creation for AI Projects with GitHub Copilot

1.2.1. Effective Design and Organization of Workspaces for Web Projects with Artificial Intelligence Components
1.2.2. Use of Project Management and Version Control Tools in the Workspace 
1.2.3. Strategies for Efficient Collaboration and Communication in the Development Team 
1.2.4. Adaptation of the Workspace to the Specific Needs of AI Web Projects 

1.3. Design Patterns in Github Copilot Products

1.3.1. Identification and Application of Common Design Patterns in User Interfaces with Artificial Intelligence Elements 
1.3.2. Development of Specific Patterns to Improve the User Experience in AI Web Projects 
1.3.3. Integration of Design Patterns in the Overall Architecture of Web Projects with Artificial Intelligence 
1.3.4. Evaluation and Selection of Appropriate Design Patterns According to the Project's Context 

1.4. Frontend Development with GitHub Copilot

1.4.1. Integration of AI Models in the Presentation Layer of Web Projects
1.4.2. Development of Adaptive User Interfaces with Artificial Intelligence Elements 
1.4.3. Implementation of Natural Language Processing (NLP) Functionalities in Front-end Development 
1.4.4. Strategies for Performance Optimization in Front-end Development with AI

1.5. Database Creation using GitHub Copilot 

1.5.1. Selection of Database Technologies for Web Projects with Artificial Intelligence 
1.5.2. Design of Database Schemas for Storing and Managing AI-Related Data 
1.5.3. Implementation of Efficient Storage Systems for Large Volumes of Data Generated by AI Models 
1.5.4. Strategies for Security and Protection of Sensitive Data in AI Web Project Databases 

1.6. Back-End Development with GitHub Copilot

1.6.1. Integration of AI Services and Models in the Back-End Business Logic 
1.6.2. Development of Specific APIs and Endpoints for Communication between Front-End and AI Components 
1.6.3. Implementation of Data Processing and Decision-Making Logic in the Backend with Artificial Intelligence 
1.6.4. Strategies for Scalability and Performance in Back-End Development of Web Projects with AI

1.7. Optimization of the Deployment Process of Your Website

1.7.1. Automation of Web Project Build and Deployment Processes with ChatGPT 
1.7.2. Implementing CI/CD Pipelines Tailored to Web Applications with Github Copilot 
1.7.3. Strategies for Efficient Release and Upgrade Management in Continuous Deployments 
1.7.4. Post-Deployment Monitoring and Analysis for Continuous Process Improvement

1.8. AI in Cloud Computing

1.8.1. Integration of Artificial Intelligence Services in Cloud Computing Platforms 
1.8.2. Development of Scalable and Distributed Solutions using Cloud Services with AI Capabilities 
1.8.3. Strategies for Efficient Resource and Cost Management in Cloud Environments with AI-enabled Web Applications 
1.8.4. Evaluation and Comparison of Cloud Service Providers for AI-enabled Web Projects

1.9. Creating an AI Project for LAMP Environments with the Help of ChatGPT

1.9.1. Adaptation of Web Projects Based on the LAMP Stack to Include Artificial Intelligence Components 
1.9.2. Integration of AI-specific Libraries and Frameworks in LAMP Environments 
1.9.3. Development of AI Functionalities that Complement the Traditional LAMP Architecture
1.9.4. Strategies for Optimization and Maintenance in Web Projects with AI in LAMP Environments

1.10. Creating an AI Project for MEVN Environments Using ChatGPT

1.10.1. Integration of MEVN Stack Technologies and Tools with Artificial Intelligence Components 
1.10.2. Development of Modern and Scalable Web Applications in MEVN Environments with AI Capabilities 
1.10.3. Implementation of Data Processing and Machine Learning Functionalities in MEVN Projects 
1.10.4. Strategies for Performance and Security Enhancement of AI-enabled Web Applications in MEVN Environments 

Acquire knowledge without geographical limitations or pre-established timing"