Architecting CI/CD Pipelines and Automations

At Course Completion

By the conclusion of this course, attendees will learn to use Git GitHub, GitLab, and Jenkins to manage and automate the release of code:
• Building custom Continuous Integration (CI) and Continuous Deployment (CD) workflows
• Take control of project flows build Python, Ansible, and GoLang applications
• Practice team collaboration methods for projects and advancing code
• How Git and GitHub actions can trigger builds, testing, and deployment of container images to production environments, such as Azure App service, and Kubernetes
• DAST and SAST tools relating to DevSecOps practices
• AI LLM prompt engineering for relevant configuration snippets and solutions

Audience Profile

• This course is applicable training for all persons looking to understand how CI / CD automated processes tie into Software Control Management (SCM) techniques
• DevOps Engineers
• Software Developers
• Marketing and Sales Engineers
• Managers and Directors
• Quality Assurance & Site Reliability Professionals

Outline

AI LLM Toolkit
•   Lecture + Lab: Large Language Model toolkit for AI Solution Assistance

Core Git Concepts
•   Lecture + Lab: Introduction to Git
•   Lecture + Lab: Git Branching

GitHub
•   Lecture + Lab: Revision Control with GitHub
•   Lecture + Lab: Pull Requests
•   Lecture + Lab: Collaborating with the Team
•   Lecture + Lab: GitHub Desktop

Core CI / CD Concepts
•   Lecture + Lab: Intro to DevOps
•   Lecture + Lab: Docker Containers
•   Lecture + Lab: Dockerizing A Python Flask App or Creating A Container Image

GitHub Actions
•   Lecture + Lab: GitHub Actions – Automatically Triggered Events
•   Lecture + Lab: GitHub Actions – Manually Triggered

GitLab
•   Lecture + Lab: Up and Running with GitLab
•   Lecture + Lab: Generating and Using SSH Keys
•   Lecture + Lab: Git and GitLab Interaction
•   Lecture + Lab: Fixing Merge Conflicts
•   Lecture + Lab: Writing Markdown in GitLab
•   Lecture + Lab: GitLab Project Wikis
•   Lecture + Lab: GitLab Collaboration
•   Lecture + Lab: GitLab Webhooks
•   Lecture + Lab: GitLab API Calls

GitLab CI CD
•   Lecture + Lab: Introduction to CI CD
•   Lecture + Lab: Building a Docker Image
•   Lecture + Lab: Creating gitlab-ci.yml
•   Lecture + Lab: Lifecycling a GoLang App with GitLab
•   Lecture + Lab: GitLab Container Repository
•   Lecture + Lab: GitLab Integration with Kubernetes Clusters

DevSecOps
•   Lecture + Lab: Intro to DevOps
•   Lecture + Lab: GitHub Actions - GitLeaks
•   Lecture + Lab: GitHub Actions – Terraform
•   Lecture + Lab: GitLab gitlab-ci.yml – DevSecOps as a Service

Jenkins Basics
•   Lecture + Lab: Deploying Jenkins with Docker
•   Lecture + Lab: Jenkins Dashboard
•   Lecture + Lab: Freestyle Projects and Workspaces
•   Lecture + Lab: Triggering Jenkins Builds with WebHooks
•   Lecture + Lab: Installing Jenkins Plugins
Scripting
•   Lecture + Lab: Docker Build Agents
•   Lecture + Lab: Python Builds
•   Lecture + Lab: Ansible Builds

CI / CD
•   Lecture + Lab: Continuous Integration
•   Lecture + Lab: Creating Jenkins Scripted Pipelines
•   Lecture + Lab: Declarative vs Scripted Pipelines
•   Lecture + Lab: Jenkins REST API

Ansible
•   Lecture + Lab: Ansible Overview
•   Lecture + Lab: Understanding YAML
•   Lecture + Lab: Introduction to Playbooks
•   Lecture + Lab: Playbooks and Variables
•   Lecture + Lab: Ansible Modules
•   Lecture + Lab: Architecting Pipelines with Ansible

Capstone
•   Architecting a GitHub CI / CD Pipeline
•   Architecting a GitLab CI / CD Pipeline
•   Webhooking Jenkins for CI / CD Automation