Azure Machine Learning & MLOps : Beginner to Advance
The most compressive course covering MLOps and machine learning on Azure | Zero to Hero
Lo que serás capaz de hacer
A course instructed by me and my digital twin if: You are looking for a comprehensive, engaging, and fun course for mastering Azure Machine learning ( up to even advanced industry-required topics) plus fully hands-on end-to-end implantation of MLOps ( DevOps for Machine learning on Azure). If yes, then this is the right and very unique course for you! Machine Learning Operations (MLOps) is a rapidly growing culture nad highly demanded in the industry with a set of principles, and guidelines defined in the machine learning world to deploy a machine learning model into production. Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps. You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models. Key points about this course Very detailed in-depth and comprehensive coverage This course will help you prepare for entry into this hot career path of Machine Learning and MLOps The course is regularly updated with recent features Best practices and impactful features of Azure ML (e.g, Explainable AI) with its tricks are all covered Contains some extra videos relevant to Azure Machine Learning and Databricks (Apache Spark) This course contains a promotion.
- How to use Azure Machine Learning from Development to Production
- How to Use Azure DevOps for Continuous Integration, continuous deployment on Machine Learning
- How to automate End 2 End machine Learning Solution on Azure
- How to Deploy Machine learning Models on Azure (Azure Container Instances, Azure Kubernetese Services, managed endpoints)
- Run an end-to-end CI/CD MLOps pipeline using Azure DevOps & Azure Machine learning
- Bests practices and highly demanded capabilities of machine learning on Azure Cloud
Temario
UNIDAD 1 - Azure MLOps · 12 leccionesUNIDAD 1 - Azure MLOps
UNIDAD 1 - Azure MLOps
- Complete Intro to Azure Machine Learning Service
- Intro to Azure DevOps
- Setting up Azure DevOps Configurations
- Create & Deploy Infrastructure as Code Pipeline
- CI Pipeline ( Continuous Integration) for ML
- CI Pipeline ( Continuous Integration) for ML
- Automated Training with CI Pipeline
- CD Pipeline (Continuous Deployment) for Staging
- CD Pipeline(Continuous Deployment)for Production
- Testing End to End MLOps Pipelines
- Extra 1 : Azure MLOps with GitHub Actions & Azure Machine Learning
- Extra 2: Databricks MLOps With GitHub Actions & MLflow
UNIDAD 2 - Azure ML SDK V2 · 1 leccionesUNIDAD 2 - Azure ML SDK V2
UNIDAD 2 - Azure ML SDK V2
- Azure MLOps V2 Accelerator
UNIDAD 3 - Azure Machine Learning | Highly Demanded Capabilities · 29 leccionesUNIDAD 3 - Azure Machine Learning | Highly Demanded Capabilities
UNIDAD 3 - Azure Machine Learning | Highly Demanded Capabilities
- Responsible AI in Action - Part 1
- Responsible AI in Action - Part 2
- Azure Machine Learning Pipeline
- Feature Store (Feast) in Azure (Machine Learning)
- Ray and Dask in Azure Machine Learning
- Auto ML for Computer Vision in Azure Machine Learning
- Differential Privacy For Machine Learning In Action (Sensitive Data)
- Integrate Azure Databricks with Azure Machine Learning
- AutoML for Natural Language Processing (NLP) in Azure Machine Learning
- Train and Score Thousands of Machine Learning Models in Parallel ( Many Models i
- Why do Machine learning models fail? (Data Drift Monitoring in Azure)
- Integrating Azure Synapse with Azure Machine Learning
- Deploy Multi Model Endpoint in Azure Machine Learning
- Rollout (Blue-Green) Real-Time Machine Learning Model Deployment in Azure
- Consume Azure Machine Learning models in Power BI
- Use PowerApps to Create Apps for Deployed Azure Machine Learning Models
- Attach Your OnPrem Kubernetes to Azure Machine Learning Using Azure Arc
- Components in Azure Machine Learning Pipelines
- Being Platform Agnostic with MLflow in Azure Machine Learning
- Deploy Spark ML model as Web Service Using Azure Machine Learning
- Azure Machine Learning Environments
- Scalable & Managed Batch Prediction with Azure Machine Learning
- Execute Azure Machine Learning pipelines in Azure Data Factory or Synapse
- Extra: Train Machine learning model once and deploy it anywhere with ONNX
- Extra: Azure Machine Learning Networking (Hands-on)
- Extra: AutoML Comparison in Databricks VS Azure Machine Learning
- Extra: Machine Learning Lineage with Microsoft Purview
- Extra: Azure + Open AI = The Future is Here
- CI/CD Without YAML: AI Agents Write Your GitHub Actions
UNIDAD 4 - Bonus · 1 leccionesUNIDAD 4 - Bonus
UNIDAD 4 - Bonus
- Bonus Lecture
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
Tu certificado con INEC
- Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
- Documento oficial con folio verificable en línea
- Lo otorga la Universidad Tecnológica Fidel Velázquez
Otras plataformas en línea
- Constancia privada emitida por la misma plataforma
- Solo acredita horas cursadas o asistencia
- Sin respaldo de una autoridad educativa
Tu itinerario, de la inscripción al certificado
- 1
Inscripción con pago único
Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
4 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
Cuestionarios por unidad
Cuestionarios para comprobar lo aprendido.
- 4
Certificado
Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
Muestra · verificable por folio y QR
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Mohammad Ghodratigohar (MG).
- Folio y QR verificables para compartirlo con quien te contrate.
Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 4 unidades · 43 lecciones · 30 h
- 12 meses de acceso
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Sobre tu inscripción
¿Cómo es el pago?
Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.
¿Cuánto tiempo tengo acceso?
12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
¿Quién imparte el contenido?
El curso es impartido por Mohammad Ghodratigohar (MG); INEC gestiona tu inscripción, evaluación y certificado.
¿Qué pasa cuando vence mi acceso?
Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.
