With this Postgraduate certificate, based on Relearning, you will manage Artificial Intelligence to quickly identify pathogens and their resistance profiles"

A recent report by the United Nations predicts that antimicrobial-resistant infections will cost the global economy up to $100 trillion over the next few years. In the face of this, Artificial Intelligence emerges as a powerful tool to address challenges such as antimicrobial resistance and the rapid spread of emerging pathogens. In this regard,
nurses have a crucial role to play in the adoption and application of these technologies. Therefore, these experts must have a comprehensive knowledge of the use of these tools in order to improve the approach to infectious pathologies.

In this scenario, TECHlaunches a revolutionary Postgraduate Certificate in Artificial Intelligence in Clinical Microbiology and Infectious Diseases for Nursing.
The academic itinerary will delve into the emerging areas interrelated with this technology, among which data science and Big Data stand out. In this sense, the agenda will delve into how Machine

Learning tools can be used to optimize epidemiological surveillance and develop antimicrobial therapies that improve the quality of life of patients. It is worth noting that the program will include a disruptive topic on the future of Artificial Intelligence in Microbiology.
On the other hand, the methodology of this program reinforces its innovative character.

TECHoffers a 100% online educational environment, adapted to the needs of busy nurses seeking to advance their careers. It also relies on the Relearning methodology, based on the repetition of key concepts to fix knowledge and facilitate learning. In this way, the combination of flexibility
and a robust pedagogical approach makes it highly accessible. In addition, professionals will have access to a rich library of multimedia resources in different audiovisual formats (such as interactive summaries, explanatory videos and infographics).     

This program will allow you to learn fluently, steadily and effectively. You will take a leap in quality in your career as a Nurse!"

This Postgraduate Certificate in Artificial Intelligence in Clinical Microbiology and Infectious Diseases for Nursing contains the most complete and up-to-date scientific program on the market. The most important features include:

• The development of practical cases presented by experts in Microbiology, Medicine and Parasitology
• 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 delve into the most innovative techniques of Machine Learning for the identification of bacteria"

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.

Are you looking to acquire skills to design infection prevention protocols that integrate Artificial Intelligence technologies? Achieve it with this program"

You will be able to take this program 100% online, adapting it to your needs and making it easier for you to take it while you develop your full-time healthcare activity”

Through this Postgraduate Certificate, the nursing staff will have a high level of knowledge about the applications of Artificial Intelligence in Clinical Microbiology.

 The syllabus will delve into the advantages of tools such as Machine Learning, Deep Learning and Big Data to treat infectious diseases. Likewise, the study plan will delve into how algorithms can be used to predict protein structures and understand resistance mechanisms. In addition, the program will provide graduates with the most innovative strategies of Machine Learning to manage infectious outbreaks and develop personalized treatments. 

You will be qualified to implement epidemiological surveillance systems that use Artificial Intelligence to monitor and predict infection outbreaks"

Module 1. Artificial Intelligence in Clinical Microbiology and Infectious Diseases

1.1. Artificial Intelligence (AI) in Clinical Microbiology and Infectious Diseases

1.1.1. Current Expectations of AI in Clinical Microbiology
1.1.2. Emerging Areas Interrelated to AI
1.1.3. Transversality of AI

1.2. Artificial Intelligence (AI) Techniques and other Complementary Technologies applied to Clinical Microbiology and Infectious Diseases

1.2.1. AI Logic and Models
1.2.2. Technologies for AI

1.2.2.1. Machine Learning
1.2.2.2. Deep Learning
1.2.2.3. Data Science and Big Data

1.3. Artificial Intelligence (AI) in Microbiology

1.3.1. AI in Microbiology: History and Evolution
1.3.2. AI Technologies that can be Used in Microbiology
1.3.3. Research Objectives of AI in Microbiology

1.3.3.1. Understanding Bacterial Diversity
1.3.3.2. Exploring Bacterial Physiology
1.3.3.3. Investigation of Bacterial Pathogenicity
1.3.3.4. Epidemiological Surveillance
1.3.3.5. Development of Antimicrobial Therapies
1.3.3.6. Microbiology in Industry and Biotechnology

1.4. Classification and Identification of Bacteria using Artificial Intelligence (AI)

1.4.1. Machine Learning Techniques for Bacterial Identification
1.4.2. Taxonomy of Multi-Resistant Bacteria using AI
1.4.3. Practical Implementation of AI in Clinical and Research Laboratories in Microbiology

1.5. Bacterial Protein Decoding

1.5.1. AI Algorithms and Models for Protein Structure Prediction
1.5.2. Applications in the Identification and Understanding of Resistance Mechanisms
1.5.3. Practical Application AlphaFold and Rosetta

1.6. Decoding the Genome of Multi-Resistant Bacteria

1.6.1. Identification of Resistance Genes
1.6.2. Genomic Big Data Analysis: AI-Assisted Sequencing of Bacterial Genomes
1.6.3. Practical Application Identification of Resistance Genes

1.7. Artificial Intelligence (AI) Strategies in Microbiology and Public Health

1.7.1. Infectious Outbreak Management
1.7.2. Epidemiological Surveillance
1.7.3. AI for Personalized Treatments

1.8. Artificial Intelligence (AI) to Combat Antibiotic Resistance in Bacteria

1.8.1. Optimizing Antibiotic Use
1.8.2. Predictive Models for the Evolution of Antimicrobial Resistance
1.8.3. Targeted Therapy Based on Development of New Antibiotics by IA

1.9. Future of Artificial Intelligence in Microbiology

1.9.1. Synergies between Microbiology and IA
1.9.2. Lines of AI Implementation in Microbiology
1.9.3. Long-Term Vision of the Impact of AI in the Fight against Multi-Drug Resistant Bacteria

1.10. Technical and Ethical Challenges in the Implementation of Artificial Intelligence (AI) in Microbiology

1.10.1. Legal Considerations
1.10.2. Ethical and Liability Considerations
1.10.3. Barriers to AI Implementation

1.10.3.1. Technical Barriers
1.10.3.2. Social Barriers
1.10.3.3. Economic Barriers
1.10.3.4. Cybersecurity

The Virtual Campus will be available to you 24 hours a day, and you can access it at the time that suits you best." Enroll now!”