Web Services Concepts, Architectures And Applications

Like many other incipient technologies, Web services are still surrounded by a tremendous level of noise. This noise results from the combination of wishful thinking on the part of research and industry and a lack of clear understanding of how Web services came to be. These factors make it extremely difficult to get a coherent picture of what Web services are, what they contribute, and where they will be applied.

Like many other incipient technologies, Web services are still surrounded by a tremendous level of noise. This noise results from the combination of wishful thinking on the part of research and industry and a lack of clear understanding of how Web services came to be. These factors make it extremely difficult to get a coherent picture of what Web services are, what they contribute, and where they will be applied.

In just a few years, service-oriented architectures (SOA) and Web services not only gained considerable interest in computer science research, they were also taken up with unanimity by all major international players in the IT industry. However, and in spite of all existing standards, in most SOA applications much human intervention is still required, for example to interpret the semantics of informal descriptions or to harmonize incompatible data schemata.

This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.

Design, build, and deploy responsive applications using AWS cloud components
Build scalable and highly available real-time applications
Make cost-effective architectural decisions by implementing your product's functional and non-functional requirements
Develop your skills with hands-on exercises using a three-tiered service oriented application as an example

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly