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1222 courses available

Amazon Web Services

Software Development with Amazon Q Developer

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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…
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IBM

Software Engineer Pre-Apprenticeship - V3

gear-duotone-light-full Software Development
This credential earner demonstrates basic proficiency of computer programming fundamentals and demonstrated skills in programming languages including Java, JavaScript and Python. The earner has also demonstrated soft skills for design thinking, agile, and professional skills (including problem solving and collaboration). The earner is prepared for an apprenticeship, and has completed all the foundational skills.
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IBM

Software and Operating Systems

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This credential earner has the advanced skills to manage and troubleshoot software and operating systems issues to ensure the smooth operation of computer systems. The individual has the technical knowledge and practical skills to configure settings, conclude the type of issue, follow troubleshooting steps and best practices, perform system updates, select tools for resolving issues across operating systems, and perform user management tasks. The earner has practiced essential workplace skills.
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Amazon Web Services

Solution Architect Learning Plan

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Learn to architect scalable AWS solutions through our comprehensive training designed for Solution Architects. We will guide you through best practices and implementation concepts of core AWS services, including Compute, Networking, Storage,…
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Amazon Web Services

Solution Architect Learning Plan (includes labs)

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Learn to architect scalable AWS solutions through our comprehensive training designed for Solution Architects. We will guide you through best practices and implementation concepts of core AWS services, including Compute, Networking, Storage,…
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Amazon Web Services

Spec-Driven Development with Kiro

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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…
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Amazon Web Services

Storage Data Migration - Knowledge Badge Readiness Path

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This Learning Path helps you build knowledge on migrating storage implementations to the cloud. This Learning Path presents domain-specific content and includes courses, knowledge checks, and a knowledge badge assessment. This path is a guide and…
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Amazon Web Services

Storage Data Protection and Disaster Recovery - Knowledge Badge Readiness Path

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This Learning Path helps you build knowledge on key technology features and best practices for backup solutions and practices to maintain disaster readiness during normal business operations. This Learning Path presents domain-specific content and…
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Amazon Web Services

Subnets, Gateways, and Route Tables Explained

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In this course, we will use sample three-tiered architecture to better understand how certain network components can help you effectively network your application. We review the differences between public and private subnets and discuss how…
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Amazon Web Services

Succeeding in the Cloud- Rethinking your Levers

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Transformation isn't about doing existing things better; it's foremost about doing different things and doing them differently. This course highlights why transformation is different from any other project and challenges leaders to rethink their…
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IBM

Supervised Learning Methods

This credential earner has applied technical knowledge of supervised learning techniques such as classification and regression algorithms. This individual has the knowledge to apply various supervised learning techniques to real-world problems and effectively assess the performance of machine learning models. The learner is also familiar with the skills required for success in a related job role.
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Amazon Web Services

Sustainability Strategies with Generative AI

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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…
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