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This credential earner demonstrated their applied knowledge in analyzing data to provide informed guidance to the stakeholders. The earner has conducted stakeholder interviews, used descriptive analytics to uncover patterns, and made recommendations based on the analysis. The earner will build and develop their transferable skills and gain real industry experience.

This credential earner demonstrated their applied knowledge in investigating, identifying, and assessing potential threats in an organization. The earner has implemented hash file analysis techniques, analyzed emails to unveil any concealed threats, and provided a defense containment and recommendation plans. The earner will build and develop their transferable skills and gain real industry experience.

Mainframe workloads often lack the agility needed to deploy new business functions and their technical complexity slows down development. This course provides you with the most common mainframe modernization drivers and an understanding of the key…

This digital learning experience focuses on the technical fundamentals that support optimal architectural practices for deploying or migrating SAP applications to the AWS Cloud. You'll gain insights into the advantages of running SAP workloads on…

This course will get you started on migration considerations and introduces common patterns that you can use as the basis for many serverless applications. In this course, you will learn about the different compute and data store services that you…

This Skill Builder learning plan is specifically designed to empower IT architects, enterprise architects, and solution architects with the knowledge and frameworks to architect scalable, secure, and compliant cloud environments for EU government…

This Online Course Supplement (OCS) is a companion resource to the Architecting on AWS – Accelerator classroom training. It provides additional information and practice opportunities to ensure that you know how to architect a resilient, secure,…

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

This credential earner demonstrates knowledge of artificial intelligence (AI) concepts, such as natural language processing, computer vision, machine learning, deep learning, chatbots, and neural networks; AI ethics; and the applications of AI. The individual has a conceptual understanding of how to run an AI model using IBM Watson Studio. The earner is aware of the job outlook in fields that use AI and is familiar with the skills required for success in various roles in the domain.

This credential earner demonstrates knowledge of artificial intelligence (AI) concepts, such as natural language processing, computer vision, machine learning, deep learning, chatbots, neural networks and ethics. The individual has practical skills to apply AI knowledge to a variety of scenarios, including writing effective prompts for AI language models. The earner has practiced essential AI workplace skills required for success in various roles in any domain.

This credential earner demonstrated their applied knowledge in conducting a vulnerability assessment for a clinic. The earner has analyzed network scans, conducted an internal and external vulnerability scan, and delivered a report of the findings and recommendations to the stakeholders. The earner will build and develop their transferable skills and gain real industry experience.

After you have implemented your security measures, you still need to continually assess, audit, and evaluate access to your data and your Amazon S3 configurations. Auditing helps you detect potential security incidents, identify any security…