[Guest course]Shift Left for Modern Software Projects: Building Preventive, Scalable, and Intelligent Quality Pipelines

Course Description
Shift Left for Modern Software Projects is a forward-thinking course designed to equip software engineers, testers, and DevOps professionals with the practical knowledge and tools to build smarter, faster, and more secure software through preventive quality engineering.
In this hands-on journey, you’ll dive deep into the modern Shift Left approach—a strategy that integrates testing, validation, performance, and security early in the development lifecycle to catch issues before they become costly. Through real-world examples, intelligent automation, and cutting-edge tools including browser-integrated AI agents, you’ll learn how to transform your pipelines into proactive, intelligent quality engines.

What You’ll Learn

• Shift Left Fundamentals: What it is, why it matters, and how it reshapes modern software delivery
• Preventive Quality Engineering: Design code and build policies that detect issues before code reaches QA
• Test Automation Strategies: Apply the testing pyramid, TDD, and feature branch testing for high-confidence releases
• Practical Pipelines: Implement GitHub CI/CD pipelines that enforce quality gates and integrate testing from commit to deploy
• AI in Testing: Use ChatGPT, browser-based AI workflows, and MS AutoGen agents to generate, review, and execute test cases in real time
• Shift Left on Performance: Build and run early-stage performance tests using Grafana K6, JMeter and Google Lighthouse
• Security by Design: Implement early vulnerability scanning, secure coding practices, and compliance automation with tools like Chef InSpec
• Web Performance Optimization: Analyze front-end and accessibility issues early using Google Lighthouse integration
• TestOPS Design: Create and manage short- and long-lived test environments, optimize cost, and accelerate delivery cycles
• Shift Right Awareness: Understand how testing in production complements Shift Left for end-to-end quality assurance

Tools & Technologies You’ll Use

• GitHub Actions / GitHub CI/CD
• MS AutoGen (code execution & multi-agent testing scenarios)
• ChatGPT (requirements analysis, test case generation, test review)
• Browser-integrated AI agents
• JMeter and Grafana K6 for performance testing
• Google Lighthouse for web performance and accessibility checks
• Chef InSpec for compliance and security-as-code
• Modern testing frameworks and Shift Left best practices

Why Take This Course?
By the end of this course, you’ll go beyond traditional testing methods and gain the confidence to:

• Design intelligent, proactive pipelines
• Build quality in from day one
• Collaborate with AI agents to prevent, not just detect, bugs
• Deliver faster, safer, and more reliable software