What are best practices for implementing machine learning on Google Cloud? What is Vertex AI and how can you use the platform to quickly build, train, and deploy AutoML machine learning models without writing a single line of code? What is machine learning, and what kinds of problems can it solve?
How Google does Machine Learning
Acerca de este Curso
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?Prueba Coursera para negocios
Describe Vertex AI Platform and how it's used to quickly build, train,and deploy AutoML machine learning models without writing a single line of code
Describe best practices for implementing machine learning on Google Cloud
Leverage Google Cloud Platform tools and environment to do ML
Articulate Responsible AI best practices
Habilidades que obtendrás
- Application Programming Interfaces (API)
- Inclusive ML
- Machine Learning
- Google Cloud Platform
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?Prueba Coursera para negocios
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Programa - Qué aprenderás en este curso
Introduction to Course and Series
This module introduces the course series and the Google experts who will be teaching it.
What It Means to be AI-First
In this module, you explore building a data strategy around machine learning.
How Google Does ML
This module shares the organizational know-how Google has acquired over the years.
Machine Learning Development with Vertex AI
All machine learning starts with some type of goal - whether it be a business use case, academic use case, or goal you are trying to solve. This module reviews the process of determining whether the model is ready for production the “proof of concept” or “experimentation” phase.
Machine Learning Development with Vertex Notebooks
This module explores both managed notebooks and user-managed notebooks for machine learning development in Vertex AI.
Best Practices for Implementing Machine Learning on Vertex AI
This module reviews best practices for a number of different machine learning processes in Vertex AI.
Responsible AI Development
This module discusses why machine learning systems aren’t fair by default and some of the things you have to keep in mind as you infuse ML into your products.
This module is a summary of the How Google Does Machine Learning course.
- 5 stars68,97 %
- 4 stars23,71 %
- 3 stars5,25 %
- 2 stars1,13 %
- 1 star0,91 %
Principales reseñas sobre HOW GOOGLE DOES MACHINE LEARNING
This is a good introductory course on how actually Machine Learning is being developed in Companies like Google. It covers the basic aspects of how ML is done using Cloud Platform using Cloud APIs.
Machine Learning API's were really cool stuff to learn and see the examples running.
Though a little more emphasis is needed to understand the codes used in the final lab session :)
While this course is a bit outside of my specific work, it was very interesting to see the "why and how" from the very people who have created Google Cloud. Very interesting and worthwhile.
An excellent overview providing a birds-eye view of where ML fits in the larger scheme of a software project and how it evolves. It also provides a good introduction to leveraging Google's ML APIs.
¿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.
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Last Updated: September 1, 2015
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