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Find a path to becoming a Multi-Cloud Strategy. Learn more at:
OpenCourser.com/topic/0r1ml2/multi
Reading list
We've selected 11 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
Multi-Cloud Strategy.
Covers continuous delivery, including topics such as build, test, and deployment automation. It is written by a continuous delivery expert and valuable resource for developers and architects who want to learn more about continuous delivery.
Covers the DevOps handbook, including topics such as agile development, continuous delivery, and site reliability engineering. It is written by a DevOps expert and valuable resource for developers and architects who want to learn more about DevOps.
Novel about IT, DevOps, and helping your business win. It is written by a DevOps expert and valuable resource for anyone who wants to learn more about DevOps.
Covers cloud native patterns and architectures that can be used to build and deploy multi-cloud applications. It is written by a Google Cloud Architect and valuable resource for developers and architects who want to learn more about cloud native development.
Covers machine learning with Python, including topics such as data preprocessing, model training, and model evaluation. It is written by a data scientist and valuable resource for developers and architects who want to learn more about machine learning.
Covers deep learning with Python, including topics such as neural networks, convolutional neural networks, and recurrent neural networks. It is written by a Google AI researcher and valuable resource for developers and architects who want to learn more about deep learning.
Covers the design of cloud-native applications, including topics such as cloud architecture, cloud patterns, and best practices. It is written by a cloud architect and valuable resource for developers and architects who want to learn more about designing and building cloud-native applications.
Covers the art of scalability, including topics such as scalability patterns, performance tuning, and capacity planning. It is written by a software architect and valuable resource for developers and architects who want to learn more about designing and building scalable applications.
Covers serverless architectures and best practices for building and deploying serverless applications. It is written by a Google Cloud Architect and valuable resource for developers and architects who want to learn more about serverless development.
Covers the design of data-intensive applications, including topics such as data modeling, data storage, and data processing. It is written by a data scientist and valuable resource for developers and architects who want to learn more about designing and building data-intensive applications.
Covers the building of serverless applications with AWS, including topics such as AWS Lambda, API Gateway, and DynamoDB. It is written by an AWS Certified Solutions Architect and valuable resource for developers and architects who want to learn more about building serverless applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/0r1ml2/multi
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