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LaunchDarkly: Feature Flagging & Experimentation is a comprehensive, self-paced course designed for developers, DevOps engineers, product managers, and technical teams who want to enhance their software delivery process through safe, controlled, and data-driven feature rollouts. This course provides a complete understanding of how LaunchDarkly’s powerful feature management platform enables organisations to innovate faster, minimise risk, and optimise user experience through real-time experimentation and progressive delivery.

Modern software development demands agility, reliability, and flexibility. Teams are expected to deploy code frequently without compromising stability or user trust. Traditionally, releasing new features involved significant risk, as even small changes could disrupt production environments or impact users unexpectedly. LaunchDarkly addresses this challenge by introducing feature flags, a transformative concept that decouples code deployment from feature release. Instead of launching new functionality for all users at once, teams can selectively enable or disable features for specific audiences, environments, or time periods—all without redeploying code.

At its core, LaunchDarkly operates as a centralised control system for managing features in real time. The platform integrates seamlessly with existing development workflows, enabling teams to turn features “on” or “off” instantly across applications. This level of control empowers developers to deploy code safely and continuously while maintaining confidence that any problematic feature can be rolled back instantly. The result is faster iteration, improved stability, and more resilient product delivery.

The course begins with a clear and accessible introduction to the fundamentals of feature flagging—what it is, why it matters, and how it transforms the traditional release process. Learners explore the difference between toggling features for internal testing versus exposing them to end users and understand the various types of flags, such as release flags, experiment flags, and operational flags. Through hands-on demonstrations, participants learn how to configure, manage, and organise feature flags effectively to maintain clean and maintainable codebases.

Building on this foundation, the course progresses into advanced feature rollout strategies. Learners gain in-depth knowledge of canary releases, gradual rollouts, and progressive delivery—techniques that allow for incremental exposure of new features. Instead of deploying changes globally, these approaches enable teams to target specific user segments, geographic regions, or device types. For example, a new interface design could be rolled out to 10% of users initially, observed for feedback and performance, and then expanded gradually as confidence grows. This reduces the risk of large-scale failures and supports continuous improvement based on real-world data.

A central part of this course focuses on experimentation and A/B testing, which are essential components of modern product development. LaunchDarkly provides built-in capabilities for running controlled experiments directly within production environments. Learners will understand how to design experiments, set up variation groups, collect meaningful metrics, and interpret results statistically. These insights allow product managers and developers to make evidence-based decisions about which features drive engagement, retention, or revenue. By learning how to combine feature flags with experimentation, participants can create a continuous feedback loop between deployment, data collection, and product optimisation.

Beyond experimentation, the course highlights LaunchDarkly’s integration with CI/CD pipelines, a crucial step for automation and scalability. Learners will discover how to embed feature flags into automated workflows, ensuring that new releases are tied to specific conditions or approval gates. The course covers integration with popular tools such as GitHub Actions, Jenkins, GitLab CI, and Azure DevOps. This integration ensures that feature management becomes a seamless part of the software delivery lifecycle, from coding and testing to deployment and monitoring.

Security and compliance are also key areas of focus. Learners explore how LaunchDarkly enforces granular access controls, role-based permissions, and audit trails to maintain governance over who can modify or deploy specific features. The course discusses best practices for flag lifecycle management—such as retiring old flags, preventing flag debt, and maintaining consistency across environments. These skills are essential for teams operating at scale, where feature flag proliferation can become complex if not managed properly.

A dedicated section of the course addresses collaboration and communication across cross-functional teams. In modern software organisations, product managers, developers, QA engineers, and DevOps professionals must work together seamlessly. LaunchDarkly acts as a shared platform that unites these roles by providing visibility into feature states and rollout progress. Product managers can use the dashboard to monitor experiments or schedule launches, while engineers can automate toggles through code. This unified workflow fosters transparency and empowers every team member to make informed, coordinated decisions.

Real-world case studies and practical exercises form an integral part of the learning experience. Learners are guided through examples such as rolling out a new payment feature for a small subset of users, conducting an experiment on button placement to measure engagement, and using canary deployments to test backend performance changes. These scenarios illustrate how LaunchDarkly’s capabilities can be applied in diverse contexts—from e-commerce and SaaS products to enterprise software and mobile applications. Each exercise reinforces best practices in planning, testing, monitoring, and iterating based on live user data.

Performance monitoring and observability are also woven into the learning journey. The course demonstrates how LaunchDarkly integrates with monitoring and analytics platforms like Datadog, New Relic, and Splunk. Learners discover how to track performance metrics and detect issues as features roll out. By combining feature flagging with observability tools, teams can achieve full visibility into how each release impacts system health, latency, and user experience—enabling proactive responses to potential issues before they affect end users.

Throughout the course, participants also learn about the cultural and strategic dimensions of feature flagging. LaunchDarkly is not only a technical tool but also a catalyst for DevOps transformation. It supports continuous delivery, empowers experimentation, and fosters a culture of learning and iteration. Teams adopting LaunchDarkly often find that it encourages smaller, safer changes and promotes collaboration across roles that traditionally operated in silos. This course emphasises how to integrate these principles into daily practice to achieve a mature, agile development environment.

By the end of this comprehensive and practical training, learners will be able to confidently use LaunchDarkly to manage features, run experiments, and improve release safety in real-world environments. They will understand how to use feature flags strategically to support faster innovation, reduce deployment risks, and improve product quality. More importantly, they will gain the mindset and technical expertise needed to drive continuous delivery and experimentation in modern software development.

What You Will Gain

• Understand feature flags and their role in software delivery: Learn how to decouple deployment from release to enable safe, controlled rollouts.

• Safely roll out new features with gradual exposure: Master techniques such as canary releases and percentage-based rollouts.

• Run A/B tests and experiments directly in production: Use LaunchDarkly’s experimentation framework to make data-driven product decisions.

• Implement canary releases and progressive delivery: Improve reliability and user experience by introducing new features incrementally.

• Integrate LaunchDarkly with CI/CD tools and workflows: Automate feature flagging within your continuous integration and delivery pipelines.

Who This Course Is For

• Developers who want to release features safely and efficiently.

• DevOps Engineers implementing progressive delivery strategies.

• Product Managers testing ideas and features with real users.

• QA Engineers validating new functionality in controlled environments.

• Startups & Agile Teams seeking rapid experimentation without operational risk.