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This course provides business decision makers a high-level picture of job roles in the AWS Cloud and how they compare to on-premises IT job roles. Learners explore four cloud job roles and their competencies to understand how to best transition…

This credential earner demonstrates knowledge and understanding of the digital transformation drivers made possible by cloud technologies and services. This includes: how cloud works, its capabilities, types, and delivery models (IaaS, SaaS, and PaaS); digital transformation strategies such as Agile practices, the IBM Garage Method, and Enterprise Design Thinking to help organizations get started on their transformation journey; & deploying a test pilot cloud application using IBM Code Engine.

This credential earner demonstrates knowledge and understanding in the intricate relationship between the enterprises embracing the journey to Cloud adoption and the cloud service providers. The credential earner acquired advanced skills on cloud computing adoption concepts such as compliance, data management, data protection, cloud security, service management and operations, ITIL, incident, problem and change management, site reliability engineering, AIOps, and governance.

This credential earner demonstrates knowledge and understanding in cloud adoption concepts such as cloud culture, modern cloud practices, and the corresponding roles, with a focus on cloud development practices such as DevOps & Agile. The credential earner explores technical concepts such as cloud-native architecture, microservices, containerization, and APIs and understands what organizational changes may be required when an organization decides to migrate its workloads to the cloud.

Learn how to effectively use Kiro to write, debug, and maintain code while following best practices and team standards.

This lab teaches you about Amazon DynamoDB by walking you through how to create, query, view and delete a table in the AWS Management Console.

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This module is a part of the Amazon WorkSpaces Primer curriculum. In this module, you will learn how to launch an Amazon WorkSpace, as well as what your users can expect after they connect to their new WorkSpace.

Learn how to build modern, high-performance UI components with Lightning Web Components (LWC). This is the future of Salesforce development.

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training MLOps Engineering on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

In this three-course curriculum, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the…