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This immersive and dynamic training guides you in adopting GitHub Advanced Security to strengthen security right from the early stages of development! With a clear and structured module organization, you’ll efficiently enhance your skills.
By exploring various practical cases, you’ll discover key features of the tool that will transform your approach to security and fuel innovation. This option provides the flexibility to tailor security measures based on your project’s specific needs.
Knowledge of programming languages and GitHub
GitHub Advanced Security (GHAS) enhances software development security by automating vulnerability detection. This training will help you anticipate risks and improve the quality of your applications. By mastering GHAS, you will adopt modern security best practices and increase your projects’ resilience to threats.
Taking a proactive approach to security from the beginning of development significantly reduces the costs and efforts associated with fixing issues downstream. With GHAS, you can integrate automated security scans directly into the CI/CD development cycle, ensuring that every line of code is verified before it goes into production.
This GitHub Advanced Security training from Gologic is primarily designed for development and security teams aiming to optimize collaboration and integrate security from the earliest stages of the development life cycle. It provides the foundational knowledge needed to effectively implement GitHub Advanced Security at an organizational level.
Developers and security experts need to work closely with each other to successfully implement modern security practices. This training facilitates collaboration by offering tools and strategies for both teams to work in sync at each development phase. Mutual understanding of roles and responsibilities, enhanced by DevOps workshops, helps maximize this synergy.
The GitHub Advanced Security training consists of six progressive modules, covering a wide range of security features. It begins with an introduction to GHAS and its fundamental concepts, then dives into code analysis with CodeQL and secret detection.
Participants will then learn how to manage dependencies with Dependabot and integrate GHAS with existing company services. The final module addresses alert governance and overall security posture, providing a solid foundation for strengthening secure development practices.
This structure enables a gradual skill development journey, from understanding the basics to applying advanced security techniques in real-world development scenarios.
You’ll learn how to set up security workflows to detect exposed secrets in code and prevent sensitive information leaks. GHAS allows you to implement protection rules to automatically block commits containing API keys, passwords, or other critical secrets, ensuring effective risk mitigation.
GitHub Advanced Security training enables you to improve the security and efficiency of your development teams by learning how to optimally configure and integrate key features.
You will learn to detect and fix vulnerabilities, protect secrets, and manage dependencies while automating these processes to reduce risks and increase productivity.
This training goes beyond implementing GitHub Advanced Security by exploring shift-left security best practices and providing an overview of the various stakeholders and their roles within this transformation of software development practices. By enhancing your security expertise, you ensure that security is embedded throughout all phases of development.
Gologic stands out with its hands-on teaching approach and recognized expertise in DevOps. As a GitHub partner, Gologic provides tailored support, experienced instructors, and case studies designed to address the current challenges of modern businesses.
An artificial intelligence expert at Gologic in Montreal, Justine designs and deploys AI solutions that improve IT teams’ productivity. She focuses on automating code generation, migrations, impact analysis, and infrastructure oversight, helping organizations accelerate their projects without compromising quality or security.
Before joining Gologic, she worked at Moderne, where she integrated AI tools for large-scale code modernization and led a strategic partnership with Mila. Trained at McGill and Mila, she specialized in Machine Learning for Code (ML4Code) and graph neural networks, exploring code generation in complex environments.
Co-author of the book AI for Mass-Scale Code Refactoring and Analysis (O’Reilly, 2024) and a regular speaker (ICSME, Devnexus, ÜberConf, TechDebt), Justine serves on the TechDebt Industry track program committee.
At Gologic, she leads the AI business line, guiding development teams in generative AI adoption to maximize concrete results at a pivotal moment for the industry.