Fundamentos de inteligencia artificial en la nube.
Servicios cognitivos en Azure.
Modelos preentrenados vs. personalizados.
Planificación de soluciones AI a escala.
Uso de Computer Vision API: OCR, análisis de imágenes y videos.
Custom Vision para modelos personalizados.
Lectura de texto en tiempo real.
Casos de uso: seguridad, manufactura, salud.
Azure Language Service: análisis de sentimientos, detección de idioma.
Reconocimiento de entidades y frases clave.
Traducción automática.
Creación de flujos NLP personalizados con LUIS.
Introducción al Azure Bot Framework.
Integración con servicios cognitivos.
Diseño de conversaciones y flujos.
Publicación de bots en canales (Teams, Web, etc.).
Azure Form Recognizer y Document Intelligence.
Indexación con Azure Cognitive Search.
Pipelines de búsqueda cognitiva.
Integración con soluciones empresariales.
Fundamentos de modelos GPT y DALL·E.
Creación de prompts efectivos.
Aplicaciones prácticas de IA generativa en negocios.
Consideraciones éticas y de Responsible AI.
Uso de SDKs y APIs REST.
Despliegue de modelos AI con contenedores.
Automatización con Azure DevOps o GitHub Actions.
Control de versiones, escalabilidad y supervisión.
Configuración de roles, claves y permisos en servicios cognitivos.
Supervisión, auditoría y control de uso.
Implementación de principios de IA responsable.
Reporte de métricas y métricas de rendimiento.
Revisión general de objetivos del examen.
Simulacros de prueba con feedback.
Tips prácticos y casos reales.
Recomendaciones para presentar con éxito.
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:
Azure AI Engineer Associate (AI‑102) | Applies |
---|---|
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:
Azure AI Engineer Associate (AI‑102) | Applies |
---|---|
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.
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.
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.