Advanced ALM with Azure DevOps & GitHub Integration

Overview

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.

Syllabus

Lesson 1: Designing Scalable Branching Strategies for ALM

In this introductory lesson, learners will explore how to design advanced branching and integration strategies using GitHub and Azure Repos for enterprise-scale software delivery. From managing cross-functional collaboration to establishing policies and workflows that reduce risk and increase release velocity, this lesson covers the foundation of source control governance in ALM.

Lesson 2: Building Secure and Scalable CI/CD Pipelines for Enterprise Deployment

In this lesson, learners will explore how to design and implement enterprise-grade CI/CD pipelines that prioritize security, automation, and control. You’ll learn how to build pipelines using GitHub Actions and Azure Pipelines that integrate quality checks, security scanning, automated testing, and deployment approvals across multiple environments. Whether your applications are monolithic, microservices, or container-based, this lesson will give you the tools to move code to production safely and confidently.

Lesson 3: Monitoring, Governance & Lifecycle Optimization

In this final lesson, learners will examine how to continuously improve and secure their ALM processes using feedback loops, environment telemetry, governance policies, and collaboration integration. It covers practical governance strategies, pipeline observability, release approvals, and cross-team coordination—culminating in a capstone ALM blueprint that integrates all course components.