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Google Cloud Training
Neste curso, os participantes vão conhecer as ferramentas de MLOps e as práticas recomendadas para a implantação, a avaliação, o monitoramento e a operação de sistemas de ML de produção no Google Cloud. MLOps é uma disciplina com foco na implantação, teste, monitoramento e automação de sistemas de ML em produção.
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Neste curso, os participantes vão conhecer as ferramentas de MLOps e as práticas recomendadas para a implantação, a avaliação, o monitoramento e a operação de sistemas de ML de produção no Google Cloud. MLOps é uma disciplina com foco na implantação, teste, monitoramento e automação de sistemas de ML em produção.
Read more
Neste curso, os participantes vão conhecer as ferramentas de MLOps e as práticas recomendadas para a implantação, a avaliação, o monitoramento e a operação de sistemas de ML de produção no Google Cloud. MLOps é uma disciplina com foco na implantação, teste, monitoramento e automação de sistemas de ML em produção.
Também incluímos experiências práticas de uso da ingestão de streaming do Vertex AI Feature Store na camada do SDK.
Register for this course and see more details by visiting:
OpenCourser.com/course/yg4csm/mlops
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What's inside
Syllabus
Bem-vindo ao curso Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Introdução ao curso.
Introdução à Vertex AI Feature Store
Read more
Syllabus
Bem-vindo ao curso Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Introdução ao curso.
Introdução à Vertex AI Feature Store
Read more
Vertex AI e seus recursos de MLOps. Principais desafios relacionados a dados e potenciais soluções de mitigação.
Machine Learning Operations (MLOps) with Vertex AI: Gerenciar recursos com uma análise aprofundada
Principais recursos da Vertex AI Feature Store.
Resumo
Resumo do curso.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ensina práticas recomendadas para implantação, avaliação, monitoramento e operação de sistemas de ML de produção no Google Cloud
Desenvolve habilidades essenciais em MLOps com foco na implantação, teste, monitoramento e automação de sistemas de ML em produção
Ensinado pela Google Cloud Training, que são reconhecidos por seu trabalho em MLOps
Oferece uma compreensão profunda dos recursos da Vertex AI Feature Store, que é essencial para o armazenamento e gerenciamento de recursos de ML
Fornece insights sobre os principais desafios relacionados a dados e estratégias de mitigação, o que é crucial para os profissionais de MLOps
Examina os principais recursos da Vertex AI Feature Store, que é uma ferramenta valiosa para MLOps
Save this course
Save MLOps with Vertex AI: Manage Features - Português Brasileiro to your list so you can find it easily later:
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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 MLOps with Vertex AI: Manage Features - Português Brasileiro with these
activities:
Criar um fluxo de trabalho de ML básico usando a Vertex AI Feature Store
Show steps
Fortalece a compreensão prática das funcionalidades básicas da Vertex AI Feature Store.
Browse courses on
Vertex AI Feature Store
Show steps
-
Criar um projeto e um armazenamento de recursos
-
Configurar a Vertex AI Feature Store
-
Criar um recurso online
-
Criar um pipeline de treinamento e implantação
-
Implantar o modelo e monitorar os resultados
Show all one activities
Criar um fluxo de trabalho de ML básico usando a Vertex AI Feature Store
Show steps
Fortalece a compreensão prática das funcionalidades básicas da Vertex AI Feature Store.
Browse courses on
Vertex AI Feature Store
Show steps
Show steps
Show steps
- Criar um projeto e um armazenamento de recursos
- Configurar a Vertex AI Feature Store
- Criar um recurso online
- Criar um pipeline de treinamento e implantação
- Implantar o modelo e monitorar os resultados
Show all one activities
Career center
Learners who complete MLOps with Vertex AI: Manage Features - Português Brasileiro will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning systems. This course can help you build a foundation in MLOps practices and tools, which can be crucial for the success of ML systems in production. By learning about Vertex AI Feature Store and its capabilities, you can gain the skills needed to effectively manage features and ensure the smooth operation of ML systems, which is a key responsibility of Machine Learning Engineers.
Data Scientist
Data Scientist
Data Scientists use data to build and evaluate ML models. This course can provide you with the MLOps knowledge and skills needed to successfully deploy and manage ML models in production. By understanding how to use Vertex AI Feature Store, you can gain the ability to create and maintain high-quality features, which is essential for developing accurate and reliable ML models, a core aspect of Data Science.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can provide you with the MLOps skills needed to integrate ML models into software applications. By learning about Vertex AI Feature Store, you can gain the ability to effectively manage features and ensure the seamless integration of ML models into software systems, a key aspect of Software Engineering.
Data Engineer
Data Engineer
Data Engineers manage and process data for use in ML models. This course can provide you with the MLOps knowledge and skills needed to ensure the reliability and efficiency of ML systems in production. By understanding how to use Vertex AI Feature Store, you can gain the ability to create and maintain high-quality features, which is essential for building and training accurate ML models, a core aspect of Data Engineering.
Product Manager
Product Manager
Product Managers plan and manage the development and launch of products. This course can help you build a foundation in MLOps practices and tools, which can be crucial for the successful delivery of ML-powered products. By learning about Vertex AI Feature Store and its capabilities, you can gain the skills needed to effectively communicate the value and impact of ML systems to stakeholders, which is a key responsibility of Product Managers.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions to improve efficiency and effectiveness. This course can provide you with the MLOps knowledge and skills needed to assess the business value of ML systems and ensure their alignment with business objectives. By understanding how to use Vertex AI Feature Store, you can gain the ability to communicate the potential benefits and risks of ML systems to stakeholders, which is a key aspect of Business Analysis.
Project Manager
Project Manager
Project Managers plan and execute projects to achieve specific goals. This course can provide you with the MLOps knowledge and skills needed to successfully manage ML projects. By understanding how to use Vertex AI Feature Store, you can gain the ability to effectively manage features and ensure the smooth execution of ML projects, which is a key responsibility of Project Managers.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for technical products and systems. This course can provide you with the MLOps knowledge and skills needed to effectively document ML systems and their features. By understanding how to use Vertex AI Feature Store, you can gain the ability to clearly and concisely explain the functionality and benefits of ML systems to users, which is a key aspect of Technical Writing.
Data Architect
Data Architect
Data Architects design and manage data systems to meet business needs. This course can provide you with the MLOps knowledge and skills needed to ensure the reliability and efficiency of ML systems in production. By understanding how to use Vertex AI Feature Store, you can gain the ability to create and maintain high-quality features, which is essential for building and training accurate ML models, a core aspect of Data Architecture.
IT Manager
IT Manager
IT Managers plan and manage the delivery of IT services within an organization. This course can provide you with the MLOps knowledge and skills needed to effectively manage ML systems and ensure their alignment with overall IT strategy. By understanding how to use Vertex AI Feature Store, you can gain the ability to effectively manage features and ensure the smooth operation of ML systems, which is a key responsibility of IT Managers.
Statistician
Statistician
Statisticians use statistical methods to analyze data and draw conclusions. This course can provide you with the MLOps knowledge and skills needed to understand and evaluate the performance of ML systems. By understanding how to use Vertex AI Feature Store, you can gain the ability to effectively analyze features and ensure the validity and reliability of ML models, which is a key aspect of Statistics.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of systems. This course can provide you with the MLOps knowledge and skills needed to optimize the performance of ML systems. By understanding how to use Vertex AI Feature Store, you can gain the ability to effectively manage features and ensure the smooth operation of ML systems, which is a key aspect of Operations Research.
Risk Manager
Risk Manager
Risk Managers identify and assess risks to an organization and develop strategies to mitigate those risks. This course can provide you with the MLOps knowledge and skills needed to understand and manage the risks associated with ML systems. By understanding how to use Vertex AI Feature Store, you can gain the ability to effectively manage features and ensure the reliability and security of ML systems, which is a key aspect of Risk Management.
Compliance Manager
Compliance Manager
Compliance Managers ensure that an organization complies with applicable laws and regulations. This course can provide you with the MLOps knowledge and skills needed to understand and comply with the regulations governing ML systems. By understanding how to use Vertex AI Feature Store, you can gain the ability to effectively manage features and ensure the ethical and responsible use of ML systems, which is a key aspect of Compliance Management.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts ensure the quality of products and services. This course can provide you with the MLOps knowledge and skills needed to ensure the quality and reliability of ML systems. By understanding how to use Vertex AI Feature Store, you can gain the ability to effectively manage features and ensure the validity and accuracy of ML models, which is a key aspect of Quality Assurance.
For more career information including salaries, visit:
OpenCourser.com/course/yg4csm/mlops
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
MLOps with Vertex AI: Manage Features - Português Brasileiro.
Este livro foca especificamente nos repositórios de recursos, um componente crucial dos sistemas MLOps. Ele fornece uma compreensão profunda dos conceitos e práticas de gerenciamento de recursos.
Este livro fornece uma base sólida em aprendizado de máquina em grande escala, cobrindo tópicos como otimização distribuída e processamento de dados. Ele oferece uma compreensão mais profunda dos desafios e soluções abordados no MLOps.
Este livro aborda o desenvolvimento prático de modelos de aprendizado de máquina usando Python. Ele pode fornecer exemplos adicionais e estudos de caso para complementar o conteúdo do curso.
Este livro aborda os princípios e técnicas de engenharia de recursos, que são essenciais para preparar dados para modelos de aprendizado de máquina. Ele fornece uma compreensão mais profunda dos conceitos de MLOps relacionados ao gerenciamento de recursos.
Este livro foca no aprendizado de máquina usando a linguagem de programação R. Ele pode ser útil para participantes do curso que desejam explorar técnicas alternativas de aprendizado de máquina.
Este livro oferece uma introdução acessível ao aprendizado de máquina, cobrindo os fundamentos e conceitos básicos. Ele pode fornecer um contexto útil para os participantes do curso que buscam uma compreensão mais ampla do tópico.
Este livro oferece uma visão geral de inteligência artificial, incluindo os fundamentos do aprendizado de máquina. Ele pode fornecer uma compreensão inicial do tópico para participantes do curso que estão começando com IA e MLOps.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/yg4csm/mlops
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Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Português
Good to know
Ensina práticas recomendadas para implantação, avaliação, monitoramento e operação de sistemas de ML de produção no Google Cloud
Desenvolve habilidades essenciais em MLOps com foco na implantação, teste, monitoramento e automação de sistemas de ML em produção
Ensinado pela Google Cloud Training, que são reconhecidos por seu trabalho em MLOps
Oferece uma compreensão profunda dos recursos da Vertex AI Feature Store, que é essencial para o armazenamento e gerenciamento de recursos de ML
Fornece insights sobre os principais desafios relacionados a dados e estratégias de mitigação, o que é crucial para os profissionais de MLOps
Examina os principais recursos da Vertex AI Feature Store, que é uma ferramenta valiosa para MLOps
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