Advanced Data Testing for Quality at Scale
Skills:
AI Workflow Automation80%
Key Takeaways
Implements scalable Application Lifecycle Management practices using Azure DevOps and GitHub Integration
Original Description
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.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: AI Workflow Automation
View skill →Related Reads
📰
📰
📰
📰
Deployment of a Web Application to automate talent onboarding using HTML / CSS / JS / BS…
Medium · DevOps
Fix Docker Exit Code 137 (OOMKilled): Why It Happens and How to Stop It
Dev.to · James Joyner
AWS DevOps Setup Sparks Faster CI/CD Pipelines in 2026
Dev.to · MLXIO
Cut Memory Store Tests from 3 Hours to 10 Minutes: 18x Efficiency with pytest + Docker
Dev.to · BAOFUFAN
🎓
Tutor Explanation
DeepCamp AI