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AWS B1.10: Guide for the nondestructive examination of welds AWS B2.1: Specification for Welding Procedure and Performance Qualification AWS D1.1: Structural welding (steel) AWS D1.2: Structural welding (aluminum) AWS D1.3: Structural welding (sheet steel) AWS D1.4: Structural welding (reinforcing steel) AWS D1.5: Bridge welding AWS D1.6
The Radiographic Interpretation Certification, for example, includes a detailed general knowledge exam, a test of specific information from the AWS code book on radiographic quality and interpretation, and a practical exam testing the individual's ability to read radiographic films. [4]
The Robotics Certification Standards Alliance (RCSA) is a global company that has been actively providing robotics curricula, training, online testing systems and certification since 1998. RCSA first started with partnerships with Motoman and Private Career Colleges in Canada. The partnerships grew to have included ABB, Motoman and Panasonic.
The following is a comparison of e-book formats used to create and publish e-books. The EPUB format is the most widely supported e-book format, supported by most e-book readers except Amazon Kindle [a] devices. Most e-book readers also support the PDF and plain text formats.
Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [3]
Amazon Elastic Compute Cloud (EC2) is a part of Amazon's cloud-computing platform, Amazon Web Services (AWS), that allows users to rent virtual computers on which to run their own computer applications.
Amazon Neptune is a managed graph database product published by Amazon.com.It is used as a web service and is part of Amazon Web Services (AWS). It was announced on November 29, 2017. [1]
Amazon SageMaker AI is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [1] It can be used to deploy ML models on embedded systems and edge-devices .
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