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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. Los ingenieros profesionales de aprendizaje automático usan herramientas para mejorar y evaluar continuamente los modelos implementados. Trabajan con científicos de datos (o pueden serlo) que desarrollan modelos para ofrecer velocidad y rigor en la implementación de modelos con el mejor rendimiento.

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Syllabus

Te damos la bienvenida a Operaciones de aprendizaje automático (MLOps): Primeros pasos
En este módulo, se proporciona una descripción general del curso
Read more
Usa operaciones de aprendizaje automático
Principales problemas de los profesionales del AA El concepto de las DevOps aplicado al AA Las tres fases del ciclo de vida del AA Automatización de los procesos del AA
Vertex AI y MLOps en Vertex AI
¿Qué es Vertex AI y por qué es importante disponer de una plataforma unificada? Introducción a las MLOps en Vertex AI ¿Cómo ayuda Vertex AI al flujo de trabajo de las MLOps? Parte 1 ¿Cómo ayuda Vertex AI al flujo de trabajo de las MLOps? Parte 2
Resumen

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Desarrolla las habilidades básicas y avanzadas relevantes para diseñar, implementar e integrar una estrategia de MLOps con la plataforma Vertex AI de Google Cloud
Está dirigido a profesionales del aprendizaje automático, ingenieros de DevOps y científicos de datos que buscan implementar y administrar sistemas de aprendizaje automático en producción
Aborda los principales problemas que enfrentan los profesionales del aprendizaje automático en la implementación y gestión de sistemas de AA en producción
Proporciona una comprensión integral del ciclo de vida de MLOps, desde la implementación hasta la supervisión y la automatización
Utiliza la plataforma Vertex AI de Google Cloud como caso práctico para demostrar cómo implementar MLOps en un entorno empresarial
Está impartido por expertos de Google Cloud Training, lo que garantiza la calidad y la relevancia del contenido del curso

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Machine Learning Operations (MLOps): Getting Started - Español with these activities:
Revise MLOps Concepts
Reinforce your understanding of MLOps fundamentals before starting the course.
Show steps
  • Review key concepts of MLOps, including model deployment, monitoring, and automation.
  • Summarize the benefits and challenges of implementing MLOps practices.
Crea una compilación de recursos de MLOps
Mejora tu organización y comprensión de los recursos de MLOps reuniéndolos en una sola ubicación.
Browse courses on MLOps
Show steps
  • Recopila recursos de MLOps de diversas fuentes, como sitios web, artículos y videos.
  • Organiza los recursos en categorías o temas.
  • Crea y documenta tu compilación para compartirla con otros.
Sigue tutoriales de operaciones de aprendizaje automático
Amplía tus conocimientos sobre las MLOps siguiendo tutoriales guiados para comprender mejor las prácticas y herramientas.
Browse courses on Vertex AI
Show steps
  • Busca tutoriales de operaciones de aprendizaje automático en plataformas como Coursera, edX o Udemy.
  • Sigue los tutoriales paso a paso y completa los ejercicios prácticos.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Participa en sesiones de práctica entre pares sobre MLOps
Colabora con tus compañeros para profundizar tu comprensión de las MLOps y compartir conocimientos.
Browse courses on MLOps
Show steps
  • Encuentra compañeros que estén interesados en estudiar MLOps.
  • Organiza sesiones regulares para discutir conceptos, resolver problemas y compartir recursos.
Ejercicios prácticos de implementación de modelos de AA
Mejora tus habilidades prácticas implementando modelos de AA en Vertex AI.
Browse courses on Vertex AI
Show steps
  • Sigue tutoriales y ejemplos para implementar modelos de AA.
  • Resuelve ejercicios prácticos sobre implementación de modelos.
  • Depura y soluciona problemas de implementaciones de modelos.
Practice Vertex AI MLOps Workflows
Enhance your skills in using Vertex AI for MLOps tasks.
Browse courses on Vertex AI
Show steps
  • Follow tutorials on deploying and monitoring models using Vertex AI.
  • Experiment with different MLOps pipelines and configurations.
  • Troubleshoot common issues encountered in Vertex AI MLOps workflows.
Consulta el artículo "Introducción a MLOps en Vertex AI"
Familiarízate con los conceptos de MLOps en Vertex AI y cómo pueden mejorar la implementación y gestión de modelos de aprendizaje automático.
Show steps
  • Lee el artículo "Introducción a MLOps en Vertex AI"
  • Toma notas sobre los conceptos clave de MLOps y Vertex AI
Crea un modelo de AA para una tarea de predicción
Desarrolla tu comprensión de los modelos de AA y aplica tus habilidades para predecir resultados utilizando Vertex AI.
Browse courses on Vertex AI
Show steps
  • Define el problema de predicción y recopila los datos.
  • Explora los algoritmos de AA para la tarea de predicción.
  • Crea e implementa un modelo de AA utilizando Vertex AI.
  • Evalúa el rendimiento del modelo y mejora su precisión.
Crea un pipeline de MLOps para implementar un modelo de aprendizaje automático
Refuerza tu comprensión práctica de MLOps implementando un pipeline completo utilizando Vertex AI.
Show steps
  • Define el caso de uso del modelo de aprendizaje automático
  • Selecciona y prepara los datos de entrenamiento
  • Crea y entrena el modelo de aprendizaje automático utilizando Vertex AI
  • Implementa el modelo en producción y monitorea su rendimiento
Crea una presentación sobre un proyecto de implementación de MLOps
Fortalece tus habilidades de comunicación y presentación resumiendo un proyecto de implementación de MLOps.
Show steps
  • Selecciona un proyecto de implementación de MLOps que hayas completado.
  • Crea diapositivas que describan el proyecto, los métodos utilizados y los resultados obtenidos.
  • Ensaya y presenta tu presentación a una audiencia.

Career center

Learners who complete Machine Learning Operations (MLOps): Getting Started - Español will develop knowledge and skills that may be useful to these careers:
AI Engineer
As an AI Engineer, you will design, develop, and deploy artificial intelligence (AI) solutions. You will work closely with other engineers, scientists, and business stakeholders to ensure that AI solutions meet the needs of the organization. This course will provide you with a foundation in the principles and practices of AI and will help you to develop the skills needed to be successful in this role.
Machine Learning Engineer
As a Machine Learning Engineer, you will develop and deploy machine learning models to solve business problems. You will work with data scientists to identify and collect the necessary data, and you will use machine learning techniques to build models that can make predictions or recommendations. This course will provide you with a foundation in the principles and practices of machine learning and will help you to develop the skills needed to be successful in this role.
Data Scientist
As a Data Scientist, you will use data to solve business problems. You will collect, clean, and analyze data, and you will use statistical and machine learning techniques to build models that can make predictions or recommendations. This course will provide you with a foundation in the principles and practices of data science and will help you to develop the skills needed to be successful in this role.
Software Engineer
As a Software Engineer, you will design, develop, and maintain software applications. You will work with other engineers and stakeholders to ensure that software applications meet the needs of the organization. This course will provide you with a foundation in the principles and practices of software engineering and will help you to develop the skills needed to be successful in this role.
Data Analyst
As a Data Analyst, you will collect, clean, and analyze data to identify trends and patterns. You will use your findings to make recommendations to businesses on how to improve their operations. This course will provide you with a foundation in the principles and practices of data analysis and will help you to develop the skills needed to be successful in this role.
Business Analyst
As a Business Analyst, you will work with businesses to identify and solve problems. You will use your analytical skills to develop solutions that can improve the efficiency and profitability of businesses. This course will provide you with a foundation in the principles and practices of business analysis and will help you to develop the skills needed to be successful in this role.
Product Manager
As a Product Manager, you will be responsible for the development and launch of new products. You will work with engineers, designers, and marketers to ensure that products meet the needs of customers. This course will provide you with a foundation in the principles and practices of product management and will help you to develop the skills needed to be successful in this role.
Project Manager
As a Project Manager, you will be responsible for planning, executing, and closing projects. You will work with stakeholders to ensure that projects are completed on time, within budget, and to the required specifications. This course will provide you with a foundation in the principles and practices of project management and will help you to develop the skills needed to be successful in this role.
Sales Engineer
As a Sales Engineer, you will work with customers to identify and solve problems. You will use your technical expertise to help customers select and implement the right products and services. This course will provide you with a foundation in the principles and practices of sales engineering and will help you to develop the skills needed to be successful in this role.
Technical Writer
As a Technical Writer, you will create documentation that explains complex technical concepts. You will work with engineers and other technical experts to ensure that documentation is accurate, clear, and concise. This course may provide you with some of the skills needed to be successful in this role, such as the ability to write clearly and concisely about technical topics.
User Experience Designer
As a User Experience Designer, you will design and evaluate user interfaces for websites and applications. You will work with engineers and other designers to ensure that user interfaces are easy to use and enjoyable. This course may provide you with some of the skills needed to be successful in this role, such as the ability to understand user needs and design user interfaces that are both usable and visually appealing.
Quality Assurance Analyst
As a Quality Assurance Analyst, you will test software applications to identify and fix bugs. You will work with engineers to ensure that software applications are reliable and meet the required specifications. This course may provide you with some of the skills needed to be successful in this role, such as the ability to test software applications and identify bugs.
Network Administrator
As a Network Administrator, you will manage and maintain computer networks. You will work with engineers and other IT professionals to ensure that networks are reliable, secure, and performant. This course may provide you with some of the skills needed to be successful in this role, such as the ability to manage and maintain computer networks.
Systems Administrator
As a Systems Administrator, you will manage and maintain computer systems. You will work with engineers and other IT professionals to ensure that systems are reliable, secure, and performant. This course may provide you with some of the skills needed to be successful in this role, such as the ability to manage and maintain computer systems.
Database Administrator
As a Database Administrator, you will manage and maintain databases. You will work with engineers and other IT professionals to ensure that databases are reliable, secure, and performant. This course may provide you with some of the skills needed to be successful in this role, such as the ability to manage and maintain databases.

Reading list

We've selected seven 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 Machine Learning Operations (MLOps): Getting Started - Español.
Este libro aborda los aspectos de ingeniería del aprendizaje automático, incluida la gestión de datos, la ingeniería de características, la evaluación del modelo y la implementación. Proporciona información valiosa sobre las mejores prácticas y herramientas para construir y mantener sistemas de AA fiables y escalables.
Este libro práctico se centra en la implementación de algoritmos de AA utilizando bibliotecas de Python. Proporciona un complemento útil al curso, ya que cubre técnicas de modelado, evaluación y validación.
Si bien este libro se centra principalmente en el aprendizaje profundo, proporciona una base sólida para las MLOps. Cubre conceptos esenciales como redes neuronales, convoluciones y redes neuronales recurrentes, que son fundamentales para comprender los modelos de AA modernos.
Este libro clásico proporciona una base sólida en estadística y aprendizaje automático. Aunque no se centra específicamente en las MLOps, ofrece una comprensión profunda de los principios subyacentes que sustentan los sistemas de AA.
Este libro explora las técnicas para hacer que los modelos de AA sean interpretables y comprensibles. Es valioso para los profesionales de AA que buscan comprender cómo funcionan sus modelos y comunicar sus resultados a las partes interesadas.
Este libro proporciona una visión general de los conceptos y tecnologías de computación en la nube. Es beneficioso para los profesionales de AA que buscan comprender el panorama de la nube y cómo aprovecharla para sus sistemas de AA.

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