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Advanced Data Testing for Quality at Scale

Advanced ALM Strategies with Azure DevOps and GitHub Integration is an advanced-level course designed for DevOps engineers, release managers, and software...

By Hurix Digital on Coursera

About This Course

Advanced ALM Strategies with Azure DevOps and GitHub Integration is an advanced-level course designed for DevOps engineers, release managers, and software delivery leaders who want to implement scalable, secure, and policy-driven Application Lifecycle Management (ALM) practices. Taught by experienced DevOps professionals, this course equips learners with the tools and strategies needed to optimize software delivery pipelines across complex enterprise environments. Through real-world use cases, scenario-based walkthroughs, hands-on activities, and design challenges, learners will explore advanced branching models, secure CI/CD pipelines, automated quality gates, and governance frameworks using GitHub, Azure DevOps, and supporting integrations. You'll learn to build traceable workflows, enforce compliance and testing standards, and evaluate your DevOps maturity using monitoring and feedback loops. By the end of the course, you’ll have designed a personalized ALM blueprint that aligns delivery speed with security, scale, and compliance—ready to apply directly in your organization.

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Frequently Asked Questions

How much does Advanced Data Testing for Quality at Scale cost?

Visit the Advanced Data Testing for Quality at Scale course page for current pricing and available discounts.

Who teaches Advanced Data Testing for Quality at Scale?

Advanced Data Testing for Quality at Scale is taught by Hurix Digital, Coursera.

What skill level is Advanced Data Testing for Quality at Scale for?

This course is designed for advanced learners.

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Students0
DurationSelf-paced
LevelAdvanced
Languageen
PlatformCoursera