DevOps Certification Training Course with Gen AI Course Syllabus

Overview: This six-week, weekend-intensive DevOps certification course blends core DevOps practices with generative AI integration, delivering 36 hours of live instruction and hands-on labs. Designed for working professionals, the program covers CI/CD, Infrastructure as Code, containerization, orchestration, security automation, and AI-enhanced monitoring. Each module includes practical exercises in a 24/7 cloud lab environment, culminating in a capstone project that demonstrates end-to-end pipeline automation with intelligent insights.

Module 1: Introduction to DevOps & AI Integration

Estimated time: 3 hours

• DevOps philosophy and culture
• Role of AI in modern software delivery
• Overview of DevOps toolchain with AI enhancements
• Hands-on: Exploring the Gen AI playground and designing an intelligent pipeline

Module 2: Version Control with Git & GitHub

Estimated time: 3 hours

• Git fundamentals and branching strategies
• Collaborative workflows using pull requests
• Automating CI triggers via GitHub events
• Hands-on: Setting up a GitHub repository with automated build hooks

Module 3: Continuous Integration with Jenkins

Estimated time: 3 hours

• Pipeline as Code using Jenkinsfile
• Jenkins plugin ecosystem and job configuration
• Automated unit testing and reporting
• Hands-on: Building and executing a Jenkins pipeline with test integration

Module 4: Infrastructure as Code with Terraform and Configuration Management with Ansible

Estimated time: 6 hours

• Terraform basics: provisioning, state management, and modules
• Ansible playbooks, roles, and idempotency
• Secure handling of secrets using Ansible Vault
• Hands-on: Provisioning AWS VPC and compute resources with Terraform; automating deployment and drift remediation with Ansible

Module 5: Containerization with Docker and Orchestration with Kubernetes

Estimated time: 6 hours

• Docker image creation, multi-stage builds, and registries
• Kubernetes architecture: Pods, Deployments, Services
• Application scaling and management using Helm charts
• Hands-on: Containerizing a microservice and deploying it on a managed Kubernetes cluster

Module 6: Monitoring, Security, and Collaboration

Estimated time: 9 hours

• Monitoring with Prometheus and Grafana; logging with ELK stack
• DevSecOps: Integrating SAST/DAST, secrets management, compliance as code
• ChatOps: Bot integrations with Slack/Teams, incident response workflows
• Hands-on: Building dashboards in Grafana, integrating security scanners into CI, and creating a ChatOps bot for deployment triggers

Module 7: GitOps & Continuous Delivery

Estimated time: 3 hours

• GitOps principles and benefits
• Argo CD for automated deployments
• Policy enforcement and auditability in GitOps
• Hands-on: Implementing a GitOps pipeline for continuous delivery

Module 8: Capstone Project & Roadmap

Estimated time: 3 hours

• Designing an end-to-end AI-powered DevOps pipeline
• Integrating CI/CD, IaC, security, monitoring, and ChatOps
• Presenting a fully automated solution with AI-driven insights
• Hands-on: Capstone project submission and career roadmap review

Prerequisites

• Familiarity with basic Linux commands and scripting
• Understanding of software development lifecycle
• Basic knowledge of cloud computing concepts

What You'll Be Able to Do After

• Orchestrate secure, AI-enhanced CI/CD pipelines using Jenkins, GitHub, Docker, and Kubernetes
• Implement Infrastructure as Code using Terraform and Ansible for repeatable cloud provisioning
• Embed generative AI tools for automated code generation, test prioritization, and predictive failure analytics
• Monitor and optimize deployments using Prometheus, Grafana, and AI-driven analytics
• Design and deploy end-to-end automated DevOps solutions with GitOps and ChatOps integration