GitHub Security GH-500 Training Course – Secure your Repositories with GitHub Advanced Security
- Price
- Duration
- Number of Hours
Description
This GitHub Security training course – Secure your Repositories with GitHub Advanced Security – teaches you how to leverage GitHub’s advanced security features to protect your code and workflows. You will learn how to activate and configure GitHub Advanced Security (GHAS), implement code scanning (CodeQL), detect exposed secrets with Secret Scanning, and manage dependency vulnerabilities with Dependabot.
Format
Remote (recorded sessions).
GOOD TO KNOW
This training course includes numerous exercises (60% practical) for better learning. Sessions are guaranteed from 1 registered participant (except in cases of force majeure).
Objectives of this GitHub Security GH-500 Training Course
By the end of this training course, each participant will be able to:
- Understand and master GitHub Advanced Security (GHAS) features to strengthen the security of your projects and workflows.
- Configure and use CodeQL for automated static code analysis.
- Implement Secret Scanning and Dependabot alerts to detect vulnerabilities and exposed secrets.
- Integrate security controls into CI/CD pipelines with GitHub Actions.
- Manage and triage security alerts effectively within a team context.
Prerequisites for this GitHub Security GH-500 Training Course
Knowledge of GitHub and the basics of Git (commits, branches, pull requests). Basic experience in software development or DevOps. GitHub account with sufficient rights to activate GHAS and modify repository settings.
TARGET AUDIENCE
Software developers wishing to strengthen code and GitHub workflow security. DevOps engineers and system administrators involved in DevSecOps integration. Security managers and cloud architects seeking to enforce governance policies in their repositories.
Programme of this GitHub Security GH-500 Training Course
Introduction to Terraform and IaC
Principes d’Infrastructure as Code, avantages, architecture de Terraform, providers, ressources et blocs HCL.
Writing and executing Terraform code
Creation of .tf files, init, plan, apply, controlled deletion, resource lifecycle management.
Advanced structuring
Variables, outputs, .tfvars files, custom modules, code factorisation, dynamic resource creation.
State, backends, and workspaces
State, backends, and workspaces.
Safety and best practices
Securing secrets, integration with Vault, versioning management, team conventions, linters, and validation.S3, Azure Blob, etc.), locking, organisation by environment.
Multi-cloud case study
Deployment of resources on AWS or Azure, reusable modules, environment logic (dev/stage/prod).
The advantages of this training course
This training course :
- Provides a rigorous and professional approach to Terraform
- Prepares you for secure production deployment with CI/CD and remote backendsmphasises code structuring and team collaboration
- Includes concrete multi-cloud case studies that can be adapted to any real-world project
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