Technical labor programs endorsed by the Ministry of Education
View all technical programsDescubre nuestra trayectoria como institución de educación de alta calidad
Programas alineados a certificaciones internacionales y necesidades del mercado global
Ver Oferta Académica CompletaTechnical certification that validates your ability to design, develop, implement, and maintain artificial intelligence solutions in Azure. It covers services such as computer vision, natural language processing, knowledge mining, intelligent agents, and generative models.
Technical certification that validates your ability to design, develop, implement, and maintain artificial intelligence solutions in Azure. It covers services such as computer vision, natural language processing, knowledge mining, intelligent agents, and generative models.
Upon completion, the student will be able to:
No prior knowledge is strictly required, but it is highly recommended that the candidate has:
| Certificación internacional Azure AI Engineer Associate (AI‑102) | Applies |
|---|---|
| Certificación internacional Azure AI Engineer Associate (AI‑102) | 40 hours |
The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.
The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.
The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.
As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.
You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.
Pre-enroll nowMake your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
Technical certification that validates your ability to design, develop, implement, and maintain artificial intelligence solutions in Azure. It covers services such as computer vision, natural language processing, knowledge mining, intelligent agents, and generative models.
Upon completion, the student will be able to:
No prior knowledge is strictly required, but it is highly recommended that the candidate has:
| Certificación internacional Azure AI Engineer Associate (AI‑102) | Applies |
|---|---|
| Certificación internacional Azure AI Engineer Associate (AI‑102) | 40 hours |
The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.
The instructor(live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.
La metodología persigue que el estudiante "does not memorize", but rather "understands" the concepts and how they are applied in a work environment."
As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.
Make your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
Fundamentals of cloud artificial intelligence.
Cognitive services in Azure.
Pre-trained vs. custom models.
Planning AI solutions at scale.
Use of Computer Vision API: OCR, image and video analysis.
Custom Vision for custom models.
Real-time text reading.
Use cases: security, manufacturing, healthcare.
Azure Language Service: sentiment analysis, language detection.
Entity recognition and key phrase extraction.
Machine translation.
Creating custom NLP flows with LUIS.
Introduction to the Azure Bot Framework.
Integration with cognitive services.
Designing conversations and flows.
Publishing bots on channels (Teams, Web, etc.).
Azure Form Recognizer and Document Intelligence.
Indexing with Azure Cognitive Search.
Cognitive search pipelines.
Integration with enterprise solutions.
Fundamentals of GPT and DALL·E models.
Creating effective prompts.
Practical applications of generative AI in business.
Ethical considerations and Responsible AI.
Use of SDKs and REST APIs.
Deployment of AI models with containers.
Automation with Azure DevOps or GitHub Actions.
Version control, scalability, and monitoring.
Configuration of roles, keys, and permissions in cognitive services.
Monitoring, auditing, and usage control.
Implementation of responsible AI principles.
Reporting metrics and performance metrics.
General review of exam objectives.
Practice tests with feedback.
Practical tips and real cases.
Recommendations for successful presentation.
Solo te pedimos tu número para explicarte nuestra metodología y brindarte una atención personalizada.