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MLOps with Vertex AI
Manage Features - Español
Google Cloud Training
Google Cloud Training
En este curso, se presentan a los participantes las herramientas y prácticas recomendadas de MLOps para implementar, evaluar, supervisar y operar sistemas de AA de producción en Google Cloud. Las MLOps son una disciplina enfocada en la implementación, prueba, supervisión y automatización de sistemas de AA en producción.
Read more
En este curso, se presentan a los participantes las herramientas y prácticas recomendadas de MLOps para implementar, evaluar, supervisar y operar sistemas de AA de producción en Google Cloud. Las MLOps son una disciplina enfocada en la implementación, prueba, supervisión y automatización de sistemas de AA en producción.
Read more
En este curso, se presentan a los participantes las herramientas y prácticas recomendadas de MLOps para implementar, evaluar, supervisar y operar sistemas de AA de producción en Google Cloud. Las MLOps son una disciplina enfocada en la implementación, prueba, supervisión y automatización de sistemas de AA en producción.
Los estudiantes obtendrán experiencia práctica con la transferencia de transmisión de Vertex AI Feature Store en la capa de SDK.
Register for this course and see more details by visiting:
OpenCourser.com/course/pdzsp2/mlops
What's inside
Syllabus
Te damos la bienvenida a Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Introducción al curso.
Introducción a Vertex AI Feature Store
Read more
Syllabus
Te damos la bienvenida a Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Introducción al curso.
Introducción a Vertex AI Feature Store
Read more
Vertex AI y sus capacidades de MLOps. Principales desafíos relacionados con los datos y posibles soluciones para mitigarlos.
Análisis detallado de Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Capacidades clave de Vertex AI Feature Store.
Resumen
Resumen del curso.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Presenta las mejores prácticas de MLOps para implementar sistemas de Inteligencia Artificial (IA) en producción
Cuenta con instructores de Google Cloud Training, expertos en el campo de MLOps y la Inteligencia Artificial
Brinda experiencia práctica con herramientas cruciales como Vertex AI Feature Store
Diseñado para profesionales que buscan fortalecer sus habilidades en MLOps y gestión de características
Puede requerir conocimientos previos en MLOps y gestión de datos para aprovecharlo al máximo
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Save MLOps with Vertex AI: Manage Features - Español to your list so you can find it easily later:
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Activities
Coming soon
We're preparing activities for
MLOps with Vertex AI: Manage Features - Español.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete MLOps with Vertex AI: Manage Features - Español will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience using Google Cloud to manage and serve data features.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with practical experience using Vertex AI Feature Store to manage and serve data features.
Data Administrator
Data Administrator
Data Administrators manage and maintain data systems. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience using Google Cloud to implement and manage machine learning systems.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience using Google Cloud to implement and manage machine learning systems.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides experience with automating and managing machine learning systems in production.
Cloud Security Engineer
Cloud Security Engineer
Cloud Security Engineers protect cloud computing systems and networks from unauthorized access. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience using Google Cloud to implement and manage machine learning systems.
Chief Information Officer
Chief Information Officer
Chief Information Officers are responsible for the overall IT strategy and infrastructure of an organization. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience using Google Cloud to implement and manage machine learning systems.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software systems. This course, MLOps with Vertex AI: Manage Features - Español, could help build a foundation for success in this field as it provides experience with implementing and managing machine learning systems in production.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience using Google Cloud to implement and manage machine learning systems.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience using Google Cloud to implement and manage machine learning systems.
Data Engineer
Data Engineer
Data Engineers build and maintain the systems that store and process data. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it teaches students how to implement, evaluate, and monitor machine learning systems in production using Google Cloud.
Data Architect
Data Architect
Data Architects are tasked with designing, building, and maintaining data infrastructure. This course, MLOps with Vertex AI: Manage Features - Español, could help build a foundation for success in this field as it provides hands-on experience with Vertex AI Feature Store, a powerful tool for managing and serving data features.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience using Google Cloud to manage and serve data features.
Product Manager
Product Manager
Product Managers are responsible for the development and management of products. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it provides students with experience managing and serving data features, which is a critical component of many products.
Data Analyst
Data Analyst
Data Analysts spend their time looking for meaningful insights in data, transforming raw data into useful information that businesses can use to make effective decisions. This course, MLOps with Vertex AI: Manage Features - Español, may help build a foundation for success in this field as it teaches students how to prepare and manage data, a critical component of any Data Analyst's skillset.
For more career information including salaries, visit:
OpenCourser.com/course/pdzsp2/mlops
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
MLOps with Vertex AI: Manage Features - Español.
Provides a detailed guide to feature engineering, which critical step in the machine learning process. It covers a wide range of topics, including data cleaning, feature selection, and feature transformation.
Provides a comprehensive guide to machine learning with Python. It covers a wide range of topics, including data preprocessing, feature engineering, model selection, and model evaluation.
Provides a practical guide to deep learning with Python. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive overview of machine learning algorithms. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning.
Provides a gentle introduction to machine learning for beginners. It covers a wide range of topics, including data preprocessing, feature engineering, model selection, and model evaluation.
Provides a gentle introduction to machine learning for absolute beginners. It covers a wide range of topics, including data preprocessing, feature engineering, model selection, and model evaluation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/pdzsp2/mlops
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Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Español
Good to know
Presenta las mejores prácticas de MLOps para implementar sistemas de Inteligencia Artificial (IA) en producción
Cuenta con instructores de Google Cloud Training, expertos en el campo de MLOps y la Inteligencia Artificial
Brinda experiencia práctica con herramientas cruciales como Vertex AI Feature Store
Diseñado para profesionales que buscan fortalecer sus habilidades en MLOps y gestión de características
Puede requerir conocimientos previos en MLOps y gestión de datos para aprovecharlo al máximo
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