Saltar al contenido principal
InicioMachine LearningMLOps for Business

MLOps for Business

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Comience El Curso Gratis
3 Horas14 Videos45 Ejercicios
2333 AprendicesTrophyDeclaración de cumplimiento

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.
Group¿Entrenar a 2 o más personas?Pruebe DataCamp para empresas

Preferido por estudiantes en miles de empresas


Descripción del curso

Discover MLOps for Business

Learn the essential concepts and practices of MLOps, an emerging set of tools and techniques for automating and scaling machine learning applications. Machine learning model development used to be a lengthy manual task, and most models never made it into production. With MLOps, businesses can effectively scale and automate the design, development, and operation of machine learning models.

Learn to Use Machine Learning Operations in Your Business

This course will teach you what MLOps is and how you can use it to become a fully mature machine-learning company. You will learn about the requirements for MLOps, the tools, techniques, and people involved, and how to avoid common pitfalls. You’ll start by learning about the main elements of MLOps and why it is critical for businesses that want to design, develop, and operate multiple machine learning applications.

Explore the MLOps Life Cycle

Next, you’ll explore the entire MLOps life cycle, from design to development, deployment, and operations. In Chapter 3, you’ll learn about the main challenges and risks of deploying machine learning models in practice. Finally, you’ll look at the best practices and case studies for successfully implementing MLOps in the real world. By the end of the course, you'll have a deep understanding of how to design, develop, and operate machine learning applications at scale and will be able to leverage the impact of machine learning on your business.
Empresas

Group¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más
Pruebe DataCamp Para EmpresasPara obtener una solución a medida, solicite una demonstración.
  1. 1

    Introducing MLOps

    Gratuito

    The first chapter will introduce MLOps and why it is necessary for businesses that want to design, develop, and operate multiple machine learning applications simultaneously. You will learn about the main elements of MLOps, such as scaling and automation, its benefits, and why MLOps remain challenging. You will also explore what it takes to start the MLOps journey both from a technological and managerial perspective.

    Reproducir Capítulo Ahora
    What is MLOps?
    50 xp
    MLOps: a set of practices to ...
    50 xp
    What are characteristics of MLOps?
    100 xp
    The business arguments for MLOps
    50 xp
    Relevant MLOps fields
    50 xp
    How to invest in MLOps
    50 xp
    Reasons to invest in MLOps
    100 xp
    Laying the foundation for MLOps
    50 xp
    MLOps team members
    50 xp
    Prerequisites of MLOps
    100 xp
    Elements of MLOps
    100 xp
  2. 3

    MLOps: From Theory to Practice

    In the third chapter, you will move from theory to practice and discover the main challenges and risks of deploying machine learning models. You’ll also learn how MLOps teams successfully operate and what management can do to foster successful scaling machine learning.

    Reproducir Capítulo Ahora
  3. 4

    MLOps in the wild

    The final chapter will demonstrate how to successfully jumpstart your business's MLOps journey by discussing best practices and pitfalls to avoid. Finally, you’ll examine the different levels of MLOps maturity and conclude the course with a real-life case study about designing, developing, and operating a machine learning application for critical production processes.

    Reproducir Capítulo Ahora
Empresas

Group¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más

Colaboradores

Collaborator's avatar
Maarten Van den Broeck

Requisitos Previos

Machine Learning for Business
Arne Warnke HeadshotArne Warnke

Head of Emerging Curriculum at DataCamp

Ver Mas

¿Qué tienen que decir otros alumnos?

Únete a 13 millones de estudiantes y empeza MLOps for Business hoy!

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.