With the Relearning system you will integrate the concepts in a natural and progressive way. Forget about memorizing!”

The Definition of Software Architectures using Machine Learning has become an essential process in system development. These mechanisms define both the structure and the design of the software that will enable the integration and deployment of the algorithms in the applications. Importantly, these structures provide the basis for AI integration, management, security and performance in the context of a broader solution. In this way, organizations take full advantage of the potential of Artificial Intelligence and use it to improve their decision making.

Given this reality, TECH is developing a Postgraduate certificate aimed at IT professionals that will examine in depth Software Architecture through AI. The academic itinerary will delve into the optimization and performance management in tools with Machine Learning. This will allow professionals to implement both caching and parallelization techniques to improve performance. At the same time, the program will address the design of large-scale systems, taking into account their architectural principles and implementation of specific patterns for distributed systems. The program will also examine scheduling algorithms for products, offering selection strategies according to the type of problem and item requirements. 

The program has the avant-garde and exclusive Relearning methodology so that students can assimilate complex concepts and competences in a fast and flexible way. At the same time, its contents are not subject to rigid schedules or continuous evaluation schedules. In this way, each student has the opportunity to personalize study time in accordance with their personal or professional obligations. This way, you will not have to abandon other academic programs or your current work, also avoiding unnecessary displacement. In short, all content will be accessible from any portable device 24 hours a day, 7 days a week.

Do you want to implement Clean Architecture to your procedures? This program will allow you to create highly maintainable, scalable and flexible applications”

The Postgraduate certificate in Definition of Software Architectures with Artificial Intelligence contains the most complete and up-to-date educational 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 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

You will apply the most effective strategies for horizontal and vertical expansion in environments with variable demand”

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

You will manage workflows and workloads in scalable systems in just 6 weeks thanks to this training"

You will have at your disposal a library full of multimedia resources in different audiovisual formats, including interactive summaries"

This university program will immerse students in the fundamental aspects of Software Architecture through AI. The curriculum will analyze key factors such as performance, stability and maintainability. In addition, the syllabus will delve into the selection of scalable data storage technologies, so that graduates can efficiently handle large volumes of data. In addition, the didactic materials will address the implementation of Clean Architecture, bearing in mind its principles and adaptation to projects with AI components. The program will also explore design patterns and promote safe development practices to train highly competent computer scientists.

You will nurture your computing praxis with the most advanced programming algorithms for product creation using Machine Learning”

Module 1. Software Architecture with AI

1.1. Optimization and Performance Management in AI Tools with the Help of ChatGPT 

1.1.1. Performance Analysis and Profiling in AI Tools
1.1.2. Algorithm Optimization Strategies and AI Models
1.1.3. Implementation of Caching and Parallelization Techniques to Improve Performance
1.1.4. Tools and Methodologies for Continuous Real-Time Performance Monitoring

1.2. Scalability in AI Applications Using ChatGPT

1.2.1. calable Architectures Design for AI Applications
1.2.2. Implementation of Partitioning and Load Sharing Techniques
1.2.3. Workflow and Workload Management in Scalable Systems
1.2.4. Strategies for Horizontal and Vertical Expansion in Variable Demand Environments

1.3. Maintainability of AI Applications Using ChatGPT

1.3.1. Design Principles to Facilitate Maintainability in AI Projects
1.3.2. Specific Documentation Strategies for AI Models and Algorithms
1.3.3. Implementation of Unit and Integration Tests to Facilitate Maintainability
1.3.4. Methods for Refactoring and Continuous Improvement in Systems with AI Components

1.4. Large-Scale System Design

1.4.1. Architectural Principles for Large-Scale System Design
1.4.2. Decomposition of Complex Systems into Microservices
1.4.3. Implementation of Specific Design Patterns for Distributed Systems
1.4.4. Strategies for Complexity Management in Large-Scale Architectures with AI Components

1.5. Large-Scale Data Warehousing for AI Tools

1.5.1. Selection of Scalable Data Storage Technologies
1.5.2. Design of Database Schemas for Efficient Handling of Large Data Volumes
1.5.3. Partitioning and Replication Strategies in Massive Data Storage Environments
1.5.4. Implementation of Data Management Systems to Ensure Integrity and Availability in AI Projects

1.6. Data Structures with AI Using ChatGPT

1.6.1. Adaptation of Classical Data Structures for Use with AI Algorithms
1.6.2. Design and Optimization of Specific Data Structures with ChatGPT 
1.6.3. Integration of Efficient Data Structures in Data Intensive Systems
1.6.4. Strategies for Real-Time Data Manipulation and Storage in AI Data Structures

1.7. Programming Algorithms for AI Products

1.7.1. Development and Implementation of Application-Specific Algorithms for AI Applications
1.7.2. Algorithm Selection Strategies according to Problem Type and Product Requirements
1.7.3. Adaptation of Classical Algorithms for Integration into AI Systems
1.7.4. Evaluation and Performance Comparison between Different Algorithms in Development Contexts with AI

1.8. Design Patterns for AI Development

1.8.1. Identification and Application of Common Design Patterns in Projects with AI Components
1.8.2. Development of Specific Patterns for the Integration of Models and Algorithms into Existing Systems
1.8.3. Strategies for the Implementation of Patterns to Improve Reusability and Maintainability in AI Projects
1.8.4. Case Studies and Best Practices in the Application of Design Patterns in AI Architectures

1.9. Implementation of Clean Architecture using ChatGPT

1.9.1. Fundamental Principles and Concepts of Clean Architecture
1.9.2. Adaptation of Clean Architecture to Projects with AI Components
1.9.3. Implementation of Layers and Dependencies in Systems with Clean Architecture
1.9.4. Benefits and Challenges of Implementing Clean Architecture in Software Development with AI

1.10. Secure Software Development in Web Applications with DeepCode

1.10.1. Principles of Security in the Development of Software with AI Components
1.10.2. Identification and Mitigation of Potential Vulnerabilities in AI Models and Algorithms
1.10.3. Implementation of Secure Development Practices in Web Applications with Artificial Intelligence Functionalities
1.10.4. Strategies for the Protection of Sensitive Data and Prevention of Attacks in AI Projects

Access the multimedia resources library and the entire syllabus from day one. No fixed schedules or attendance!"