Este curso forma parte de Certificado profesional de Microsoft Azure Data Scientist Associate (DP-100)

4.6

estrellas

36 calificaciones

Microsoft

2817 ya inscrito

ofrecido por

Certificado profesional de Microsoft Azure Data Scientist Associate (DP-100) Microsoft

Acerca de este Curso

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Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.
This is the second course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam.

The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. 

This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Fechas límite flexibles

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Certificado para compartir

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100 % en línea

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Curso 2 de 5 en

Certificado profesional de Microsoft Azure Data Scientist Associate (DP-100)

Nivel intermedio

General programming knowledge or experience would be beneficial.  You need to have basic computer literacy and proficiency in the English language.

Aprox. 11 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Habilidades que obtendrás

Machine Learning
Supervised Learning
Regression Analysis
regression

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 2 de 5 en

Certificado profesional de Microsoft Azure Data Scientist Associate (DP-100)

Nivel intermedio

General programming knowledge or experience would be beneficial.  You need to have basic computer literacy and proficiency in the English language.

Aprox. 11 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructor

Calificación del instructor

4,33/5 (7 calificaciones)

Microsoft

154.941 alumnos

41 cursos

ofrecido por

Microsoft

Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.

In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.

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Programa - Qué aprenderás en este curso

Semana

Semana 1

3 horas para completar

Use Automated Machine Learning in Azure Machine Learning

3 horas para completar

3 videos (Total 5 minutos), 8 lecturas, 3 cuestionarios

3 videos

Introduction to Create No-code Predictive Models with Azure Machine Learning1m

Azure Machine Learning to Train and Deploy a Predictive Model2m

Weekly Summary41s

8 lecturas

Course Syllabus10m

How to be successful in this course5m

Exercise Part 1: Create a Microsoft Azure Machine Learning Workspace 10m

Exercise Part 2: Create Compute Resources10m

Exercise Part 3: Explore Data10m

Exercise Part 4: Train a Machine Learning Model25m

Exercise Part 5: Deploy a Model as a Service 15m

Exercise Part 6: Clean-up10m

3 ejercicios de práctica

Exercise Quiz30m

Knowledge Check15m

Test Prep21m

Semana

Semana 2

3 horas para completar

Create a Regression Model with Azure Machine Learning Designer

3 horas para completar

2 videos (Total 2 minutos), 8 lecturas, 3 cuestionarios

2 videos

What is Regression?1m

Weekly Summary43s

8 lecturas

Exercise Part 1: Create a Microsoft Azure Machine Learning Workspace1m

Exercise Part 2: Create Compute Resources10m

Exercise Part 3: Explore Data15m

Exercise Part 4: Create and Run a Training Pipeline 18m

Exercise Part 5: Evaluate a Regression Model 10m

Exercise Part 6: Create an Inference Pipeline 12m

Exercise Part 7: Deploy a Predictive Service8m

Exercise Part 8: Clean-up 10m

3 ejercicios de práctica

Exercise Quiz30m

Knowledge Check15m

Test Prep21m

Semana

Semana 3

3 horas para completar

Create a Classification Model with Azure AI

3 horas para completar

2 videos (Total 2 minutos), 8 lecturas, 3 cuestionarios

2 videos

What is Classification?1m

Weekly Summary30s

8 lecturas

Exercise Part 1: Create an Azure Machine Learning Workspace10m

Exercise Part 2: Create Compute Resources10m

Exercise Part 3: Explore Data15m

Exercise Part 4: Create and Run a Training Pipeline18m

Exercise Part 5: Evaluate a Classification Model15m

Exercise Part 6: Create an Inference Pipeline12m

Exercise Part 7: Deploy a predictive service10m

Exercise Part 8: Clean-up10m

3 ejercicios de práctica

Exercise Quiz30m

Knowledge Check15m

Test Prep21m

Semana

Semana 4

3 horas para completar

Create a Clustering Model with Azure AI

3 horas para completar

3 videos (Total 3 minutos), 9 lecturas, 3 cuestionarios

3 videos

What is Clustering?1m

Weekly Summary55s

Course wrap-up1m

9 lecturas

Exercise: Create a Microsoft Azure Machine Learning workspace8m

Exercise Part 1: Create Compute Resources10m

Exercise Part 2: Explore Data 12m

Exercise Part 3: Create and Run a Training Pipeline 12m

Exercise Part 4: Evaluate a Classification Model 10m

Exercise Part 5: Create an Inference Pipeline 12m

Exercise Part 6: Deploy a Predictive Service 10m

Exercise Part 7: Clean-up 10m

What to expect next10m

3 ejercicios de práctica

Exercise Quiz30m

Knowledge Check15m

Test Prep21m

Acerca de Certificado profesional de Microsoft Azure Data Scientist Associate (DP-100)

This Professional Certificate is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. This Professional Certificate teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This Professional Certificate teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. By the end of this program, you will be ready to take the DP-100: Designing and Implementing a Data Science Solution on Azure.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Certificado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos del Certificado y te darán un certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
Who should take this course?
IT professionals interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them.
Working IT professionals looking for additional skills or credentials to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. IT professionals looking to specialize in the specific area of Artificial intelligence on Azure.
What will I learn from this course?
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.
How long will it take to complete this course?
You should expect to spend at least an hour every week for four weeks to complete all aspects of this course.

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Microsoft Azure Machine Learning for Data Scientists

Acerca de este Curso

Habilidades que obtendrás

Instructor

Microsoft

ofrecido por

Microsoft

Programa - Qué aprenderás en este curso

Use Automated Machine Learning in Azure Machine Learning

Create a Regression Model with Azure Machine Learning Designer

Create a Classification Model with Azure AI

Create a Clustering Model with Azure AI

Acerca de Certificado profesional de Microsoft Azure Data Scientist Associate (DP-100)

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Microsoft Azure Machine Learning for Data Scientists

Acerca de este Curso

Habilidades que obtendrás

Instructor

Microsoft

ofrecido por

Microsoft

Programa - Qué aprenderás en este curso

Use Automated Machine Learning in Azure Machine Learning

Create a Regression Model with Azure Machine Learning Designer

Create a Classification Model with Azure AI

Create a Clustering Model with Azure AI

Acerca de Certificado profesional de Microsoft Azure Data Scientist Associate (DP-100)

Preguntas Frecuentes

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Comienza o impulsa tu carrera profesional

Buscar temas populares

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