Advanced DevOps Certification Training with GenAI

Topics:

• Introduction to DevOps: History, Evolution & Benefits
• DevOps Culture, Practices & Core Principles
• DLC vs DevOps Lifecycle
• DevOps Toolchain Overview & Tool Selection
• Agile, Lean & DevOps Integration
• Key Metrics: DORA Metrics, Lead Time, MTTR, Change Failure Rate
• DevOps Transformation Roadmap
• Introduction to AI in DevOps: Overview & Use Cases
• Essential Linux Commands for DevOps

Hands-On:

• Set up DevOps learning environment
• Create DevOps maturity assessment for a sample organization
• Design a DevOps transformation roadmap
• Calculate and analyze DORA metrics from case studies
• Practice essential Linux commands for daily DevOps tasks
• Explore AI tools landscape for DevOps

Skills you will learn:

• Understanding DevOps philosophy, principles, and lifecycle
• Differentiating between traditional and DevOps approaches
• Identifying key DevOps metrics and KPIs (DORA)
• Recognizing AI's transformative role in DevOps
• Mapping DevOps career paths

Topics:

• Introduction to GitHub Copilot & AI Coding Assistants
• Setting up Copilot in VS Code & JetBrains IDEs
• Copilot for Shell Script & Bash Generation
• AI-Assisted Python Scripting for Automation
• Prompt Engineering Best Practices for DevOps
• Copilot Chat for Code Explanation & Debugging
• AI Code Review & Suggestions
• Copilot for Documentation Generation
• Ethical AI Usage & Best Practices

Hands-On:

• Install and configure GitHub Copilot in VS Code
• Generate shell scripts for system automation using Copilot
• Create Python automation scripts with AI assistance
• Use Copilot Chat for code explanation and debugging
• Practice prompt engineering for DevOps tasks
• Generate documentation using Copilot
• Compare AI-generated code with manual coding

Skills you will learn:

• Setting up and configuring GitHub Copilot
• Leveraging AI for code and script generation
• Using Copilot for infrastructure code generation
• Applying prompt engineering techniques for DevOps
• Accelerating development with AI assistance throughout course

Topics:

• Git Fundamentals: Architecture & Workflow
• Git Installation & Configuration
• Repository Operations: Clone, Commit, Push, Pull
• Branching Strategies: GitFlow, Trunk-Based Development
• Merging, Rebasing & Conflict Resolution
• GitHub: Pull Requests, Code Reviews, Issues
• Git Tags, Stash & Advanced Commands
• Git Hooks & Pre-commit Automation
• GitHub Actions Introduction
• Using Copilot for Git Commands & Workflows

Hands-On:

• Initialize Git repository for a project
• Create feature branches and merge workflows
• Resolve merge conflicts in team scenarios
• Set up GitHub repository with branch protection
• Implement GitFlow workflow with Copilot assistance
• Create and manage pull requests with code reviews
• Configure Git hooks for code quality

Skills you will learn:

• Implementing version control workflows
• Managing branches and resolving conflicts
• Collaborating using GitHub (with Copilot assistance)
• Applying Git best practices in team environments
• Implementing Git hooks and automation

Topics:

• Continuous Integration Principles & Benefits
• Continuous Delivery vs Continuous Deployment
• CI/CD Pipeline Architecture & Stages
• Build Automation & Artifact Management
• Automated Testing in CI/CD (Unit, Integration, E2E)
• Code Quality Gates & Static Analysis
• Deployment Strategies: Blue-Green, Canary, Rolling
• Pipeline as Code Concepts
• CI/CD Security Considerations
• Metrics & KPIs for CI/CD

Hands-On:

• Design multi-stage CI/CD pipeline architecture
• Create a simple CI pipeline with automated builds
• Implement automated testing in pipeline
• Set up artifact repository
• Simulate blue-green deployment strategy
• Build a deployment pipeline decision tree
• Design pipeline for microservices application

Skills you will learn:

• Designing CI/CD pipelines for various scenarios
• Understanding pipeline stages and best practices
• Implementing automated testing strategies
• Applying CI/CD patterns and anti-patterns
• Planning deployment strategies

Topics:

• Jenkins Architecture & Installation
• Jenkins UI & Job Configuration
• Freestyle vs Pipeline Jobs
• Declarative Pipeline Syntax
• Jenkinsfile & Pipeline as Code
• Jenkins Plugins: Git, Maven, Docker, SonarQube
• Distributed Builds & Jenkins Agents
• Jenkins Security & Access Control
• Jenkins Shared Libraries
• Jenkins Integration with Cloud Platforms

Hands-On:

• Install Jenkins on Linux server
• Create freestyle job with Git integration
• Build Java/Python application pipeline
• Write Jenkinsfile for multi-stage pipeline using Copilot
• Configure Jenkins agents for distributed builds
• Implement parameterized builds
• Set up Jenkins credentials and role-based access
• Create shared library for reusable pipeline code

Skills you will learn:

• Installing and configuring Jenkins
• Creating declarative and scripted pipelines
• Integrating Jenkins with Git, Docker, and build tools
• Implementing advanced Jenkins features
• Using Copilot for Jenkinsfile generation

Topics:

• GitHub Actions Architecture & Concepts
• Workflow Syntax & Triggers
• Jobs, Steps & Actions
• Secrets & Environment Variables
• Matrix Builds & Strategy
• Caching & Artifacts
• Reusable Workflows & Composite Actions
• Self-Hosted Runners
• GitHub Actions Marketplace
• Security Best Practices for Actions

Hands-On:

• Create first GitHub Actions workflow
• Build multi-platform application with matrix builds
• Implement caching for faster builds
• Create reusable workflow for deployment
• Set up self-hosted runner
• Integrate Docker build and push
• Implement security scanning with CodeQL
• Compare workflow with equivalent Jenkins pipeline

Skills you will learn:

• Building workflows using GitHub Actions
• Implementing matrix builds and caching
• Creating reusable workflows and actions
• Integrating security scanning in workflows
• Comparing GitHub Actions with Jenkins

Topics:

• Introduction to Containerization & Benefits
• Docker Architecture: Images, Containers, Registry
• Docker Installation & Configuration
• Docker Images: Building, Tagging, Pushing
• Dockerfile Best Practices & Multi-Stage Builds
• Container Lifecycle Management
• Docker Networking: Bridge, Host, Overlay
• Docker Volumes & Data Persistence
• Container Resource Management
• Docker Logging & Debugging

Hands-On:

• Install Docker on Linux
• Run your first container
• Create custom Dockerfile for web application with Copilot
• Build multi-stage Docker images
• Push images to Docker Hub
• Configure container networking
• Implement volume mounting for data persistence
• Containerize a 3-tier application
• Debug container issues

Skills you will learn:

• Understanding containerization concepts
• Building and managing Docker images
• Running and orchestrating containers
• Implementing Docker networking and storage
• Using Copilot for Dockerfile generation

Topics:

• Docker Image Optimization Techniques
• Docker Compose: Architecture & Syntax
• Multi-Container Application Management
• Docker Compose for Development & Testing
• Docker Security: Image Scanning, Secrets
• Vulnerability Scanning with Trivy
• Docker Registry: Harbor, ECR, ACR
• Docker in CI/CD Integration
• Docker Buildx & Multi-Platform Images
• Container Runtime Security

Hands-On:

• Optimize Docker image size (reduce by 70%+)
• Create Docker Compose file for microservices with Copilot
• Deploy multi-tier application with Docker Compose
• Configure custom networks and service discovery
• Implement Docker secrets management
• Scan images for vulnerabilities using Trivy
• Build automated Docker image pipeline
• Set up private Docker registry

Skills you will learn:

• Optimizing Docker images for production
• Orchestrating multi-container applications
• Implementing Docker security best practices
• Managing private Docker registries
• Integrating Docker in CI/CD pipelines

Topics:

• Kubernetes Architecture: Control Plane, Nodes
• Kubernetes Objects: Pods, Services, Deployments
• Kubernetes Installation: Minikube, kind, kubeadm
• kubectl Commands & Operations
• YAML Manifests for Kubernetes
• ReplicaSets & Deployments
• Services & Networking in Kubernetes
• ConfigMaps & Secrets Management
• Labels, Selectors & Annotations
• Kubernetes Namespaces

Hands-On:

• Set up Minikube cluster locally
• Deploy first pod using kubectl
• Create deployment for web application with Copilot
• Expose application using Services (ClusterIP, NodePort, LoadBalancer)
• Scale deployments horizontally
• Implement rolling updates and rollbacks
• Configure ConfigMaps and Secrets
• Deploy multi-tier application on Kubernetes

Skills you will learn:

• Deploying and managing Kubernetes clusters
• Understanding Kubernetes architecture
• Deploying applications on Kubernetes
• Implementing basic Kubernetes operations
• Using Copilot for K8s YAML manifest generation

Topics:

• StatefulSets & DaemonSets
• Persistent Volumes & Persistent Volume Claims
• Storage Classes & Dynamic Provisioning
• Ingress Controllers & Ingress Rules (NGINX, Traefik)
• Horizontal & Vertical Pod Autoscaling
• Resource Quotas & Limits
• Multi-Tenancy & Namespaces
• Helm: Package Manager for Kubernetes
• Helm Charts: Structure & Best Practices
• Kubernetes RBAC & Security

Hands-On:

• Deploy stateful application using StatefulSets
• Configure persistent storage for database
• Set up NGINX Ingress Controller
• Create Ingress rules for multiple services
• Implement Horizontal Pod Autoscaler (HPA)
• Set up resource quotas and limits
• Package application using Helm charts with Copilot
• Deploy microservices with Helm
• Configure RBAC for cluster security

Skills you will learn:

• Implementing advanced Kubernetes patterns
• Configuring persistent storage solutions
• Setting up ingress controllers
• Packaging applications with Helm
• Applying resource management and autoscaling

Topics:

• Introduction to Infrastructure as Code
• Terraform Architecture & Workflow
• HCL (HashiCorp Configuration Language)
• Terraform Providers (AWS, Azure, GCP)
• Resources, Variables & Outputs
• Terraform State Management
• Remote State & Backend Configuration
• Terraform Modules & Reusability
• Terraform Workspaces for Environments
• Terraform Cloud & Enterprise

Hands-On:

• Install and configure Terraform
• Provision EC2 instances on AWS with Copilot assistance
• Create VPC, subnets, and security groups
• Build reusable Terraform modules
• Implement remote state with S3 backend
• Provision Azure resources using Terraform
• Create multi-environment infrastructure with workspaces
• Implement Terraform pipeline in CI/CD

Skills you will learn:

• Provisioning infrastructure using code
• Managing cloud resources declaratively
• Implementing Terraform best practices
• Version controlling infrastructure changes
• Using Copilot for Terraform code generation

Topics:

• Introduction to Configuration Management
• Ansible Architecture: Control Node, Managed Nodes
• Ansible Installation & Configuration
• Inventory Management (Static & Dynamic)
• Ad-hoc Commands
• Ansible Playbooks: YAML Syntax
• Ansible Modules & Collections
• Variables, Facts & Conditionals
• Ansible Roles & Galaxy
• Ansible Vault for Secrets
• Ansible Tower/AWX

Hands-On:

• Install Ansible and configure inventory
• Execute ad-hoc commands on multiple servers
• Write playbook to install web server with Copilot
• Deploy application using Ansible
• Create reusable Ansible roles
• Implement multi-tier application deployment
• Use Ansible Vault for credentials
• Integrate Ansible with Jenkins pipeline
• Combine Terraform + Ansible workflow

Skills you will learn:

• Automating configuration management
• Writing Ansible playbooks
• Managing multiple servers efficiently
• Integrating Ansible with CI/CD pipelines
• Combining Terraform and Ansible

Topics:

• AWS Cloud Fundamentals for DevOps
• AWS CodePipeline: Architecture & Setup
• AWS CodeBuild: Build Automation
• AWS CodeDeploy: Deployment Strategies
• AWS CodeCommit & CodeArtifact
• EC2, VPC, S3, RDS for DevOps
• AWS ECS & EKS: Container Orchestration
• AWS Lambda & Serverless DevOps
• AWS CloudFormation for IaC
• AWS CloudWatch: Monitoring & Logging
• AWS Systems Manager & Parameter Store

Hands-On:

• Build end-to-end pipeline with AWS CodePipeline
• Configure AWS CodeBuild for multi-language builds
• Deploy application using AWS CodeDeploy
• Provision AWS infrastructure with Terraform
• Set up EKS cluster and deploy containerized apps
• Implement blue-green deployment on AWS
• Build serverless CI/CD pipeline with Lambda
• Configure CloudWatch dashboards and alarms

Skills you will learn:

• Deploying DevOps solutions on AWS
• Utilizing AWS native DevOps services
• Implementing CI/CD on AWS platform
• Managing AWS infrastructure with DevOps tools

Topics:

• Introduction to Azure DevOps Services
• Azure Pipelines Architecture (Classic vs YAML)
• Multi-Stage Pipelines & Templates
• Azure Repos, Boards & Test Plans
• Azure Kubernetes Service (AKS) Deep Dive
• Azure Container Instances (ACI)
• Azure Functions & Serverless
• Azure Resource Manager (ARM) Templates & Bicep
• Azure Monitor & Application Insights
• Azure Key Vault Integration
• GitHub Copilot for Azure DevOps

Hands-On:

• Create Azure DevOps organization and project
• Build YAML-based multi-stage pipeline
• Deploy application to Azure App Service
• Create and manage AKS cluster
• Deploy ARM/Bicep templates for infrastructure
• Configure Azure Monitor for comprehensive monitoring
• Integrate Application Insights for APM
• Set up Azure Key Vault for secrets management

Skills you will learn:

• Building CI/CD pipelines in Azure DevOps
• Implementing YAML pipelines
• Deploying to Azure cloud services
• Integrating Azure services with DevOps workflows

Topics:

• Monitoring vs Observability: Three Pillars (Metrics, Logs, Traces)
• Prometheus: Architecture & Installation
• Metrics Collection & PromQL
• Grafana: Dashboards & Visualizations
• ELK Stack: Elasticsearch, Logstash, Kibana
• Loki for Log Aggregation
• Application Performance Monitoring (APM)
• Distributed Tracing with Jaeger/Zipkin
• Alerting & Incident Management
• SLIs, SLOs, SLAs & Error Budgets
• OpenTelemetry Overview

Hands-On:

• Install Prometheus and exporters
• Configure metrics collection for applications
• Create Grafana dashboards for system metrics
• Set up ELK/Loki for centralized logging
• Configure log shipping from applications
• Create log parsing and analysis queries
• Implement alerting rules in Prometheus
• Set up distributed tracing for microservices
• Define SLOs and create error budget dashboards

Skills you will learn:

• Implementing comprehensive monitoring solutions
• Setting up centralized logging
• Creating dashboards and alerts
• Applying observability best practices
• Understanding the three pillars of observability

Topics:

• Introduction to DevSecOps & Shift-Left Security
• Static Application Security Testing (SAST)
• Dynamic Application Security Testing (DAST)
• Software Composition Analysis (SCA)
• Container Security Scanning (Trivy, Clair)
• Infrastructure Security: CIS Benchmarks
• Secrets Management: HashiCorp Vault, Azure Key Vault
• Policy as Code: OPA, Kyverno
• Security in CI/CD Pipelines
• Compliance as Code
• AI-Powered Security Analysis

Hands-On:

• Integrate SonarQube for code quality & security
• Implement SAST scanning in pipeline
• Scan Docker images for vulnerabilities
• Configure Trivy/Snyk for container scanning
• Set up HashiCorp Vault for secrets
• Implement policy as code with OPA/Kyverno
• Scan infrastructure code with Checkov/tfsec
• Create security-hardened CI/CD pipeline
• Implement automated compliance checks

Skills you will learn:

• Integrating security into DevOps pipelines
• Implementing security scanning tools
• Applying shift-left security practices
• Managing secrets and credentials securely
• Automating compliance checks

Topics:

• Introduction to GitOps Principles
• GitOps vs Traditional DevOps
• ArgoCD: Architecture & Installation
• Flux CD: Setup & Configuration
• Declarative Infrastructure with GitOps
• Application Sets & Multi-Cluster Management
• Progressive Delivery: Canary, Blue-Green
• Argo Rollouts for Advanced Deployments
• Feature Flags & A/B Testing
• Rollback Strategies & Self-Healing
• GitOps Best Practices & Security

Hands-On:

• Install and configure ArgoCD
• Deploy application using GitOps workflow
• Set up automated sync from Git to Kubernetes
• Implement canary deployment with Argo Rollouts
• Create blue-green deployment strategy
• Configure progressive delivery pipelines
• Implement feature flags with Flagsmith
• Manage multi-environment deployments with GitOps
• Build self-healing infrastructure

Skills you will learn:

• Implementing GitOps workflows
• Using ArgoCD for continuous delivery
• Applying progressive delivery techniques
• Automating Kubernetes deployments
• Implementing self-healing infrastructure

Topics:

• Introduction to AIOps: Concepts & Benefits
• AIOps Platforms Overview (Dynatrace, Datadog, Splunk)
• Machine Learning for IT Operations
• Anomaly Detection in Monitoring
• Predictive Analytics for System Failures
• AI-Powered Log Analysis & Pattern Recognition
• Intelligent Alerting & Noise Reduction
• Root Cause Analysis with AI
• Automated Incident Triage & Response
• Capacity Planning with ML
• AIOps Integration with Existing Tools

Hands-On:

• Implement anomaly detection with Prometheus & ML
• Build AI-powered log analysis system
• Create intelligent alerting with reduced false positives
• Implement predictive failure analysis
• Set up automated root cause analysis
• Build ML model for capacity prediction
• Automate incident triage with AI
• Create intelligent dashboard with ML insights
• Integrate AIOps with existing monitoring stack

Skills you will learn:

• Applying AI/ML in IT operations
• Implementing predictive analytics for failures
• Automating incident detection and response
• Reducing alert noise with AI
• Building intelligent monitoring systems

Topics:

• AI in Software Engineering: Overview & Trends
• AI Coding Assistants: Copilot, CodeWhisperer, Tabnine
• AI-Powered Code Review & Analysis
• Automated Test Generation with AI
• AI for Code Refactoring & Optimization
• Natural Language to Code Conversion
• AI-Powered Documentation Generation
• Code Security Analysis with AI
• AI for Bug Detection & Resolution
• ChatOps & Conversational AI for DevOps
• Building AI-Enhanced CI/CD Pipelines

Hands-On:

• Compare different AI coding assistants
• Implement AI-powered code review in pipeline
• Use AI for test case generation
• Generate unit tests automatically with AI
• Build AI-powered documentation workflow
• Create ChatOps bot with Slack/Teams integration
• Implement AI-based code quality gates
• Build natural language to infrastructure workflow
• Create AI-enhanced debugging system

Skills you will learn:

• Leveraging AI for software development lifecycle
• Implementing AI-assisted code review
• Using AI for automated testing
• Applying AI for code quality and documentation
• Building AI-enhanced development workflows

Topics:

• Generative AI in DevOps: Advanced Use Cases
• LLMs for Infrastructure Code Generation
• AI Agents for DevOps Automation
• Custom GPT/Claude for DevOps Tasks
• Platform Engineering & Internal Developer Platforms (IDP)
• Self-Service Infrastructure Portals (Backstage)
• FinOps: AI-Driven Cost Optimization
• Emerging Trends: WebAssembly, eBPF, Service Mesh
• Building AI-Native DevOps Culture

Hands-On:

• Build custom AI assistant for DevOps tasks
• Generate infrastructure code using LLMs
• Create AI agent for pipeline optimization
• Design Internal Developer Platform architecture
• Implement self-service portal with Backstage
• Build cost optimization dashboard with AI

Skills you will learn:

• Leveraging Generative AI for DevOps automation
• Designing internal developer platforms
• Implementing FinOps practices
• Building end-to-end DevOps pipeline

Topics:

• Kubernetes Operators: Concepts & Use Cases
• Custom Resource Definitions (CRDs)
• Building Custom Operators with Operator SDK
• Service Mesh Introduction: Why Service Mesh?
• Istio Architecture: Control Plane & Data Plane
• Istio Installation & Configuration
• Traffic Management: Virtual Services, Destination Rules
• mTLS & Security Policies
• Observability with Istio: Kiali, Jaeger Integration
• Linkerd Overview & Comparison
• Multi-Cluster Service Mesh
• Service Mesh Best Practices

Hands-On:

• Create Custom Resource Definition (CRD)
• Build simple Kubernetes Operator
• Install Istio on Kubernetes cluster
• Configure traffic splitting (Canary with Istio)
• Implement circuit breaker pattern
• Enable mTLS between services
• Set up Kiali dashboard for mesh visualization
• Implement rate limiting with Istio
• Configure fault injection for testing
• Deploy application across multiple clusters

Skills you will learn:

• Implementing Kubernetes Operators and Custom Resources
• Configuring service mesh with Istio/Linkerd
• Implementing advanced traffic management
• Applying mTLS and zero-trust security
• Managing multi-cluster Kubernetes deployments

Topics:

• Introduction to Chaos Engineering
• Chaos Engineering Principles & Practices
• Chaos Monkey & Netflix Simian Army
• Chaos Toolkit & LitmusChaos
• Gremlin for Enterprise Chaos
• Designing Chaos Experiments
• Site Reliability Engineering (SRE) Fundamentals
• SRE vs DevOps: Complementary Practices
• Service Level Indicators (SLIs)
• Service Level Objectives (SLOs)
• Error Budgets & Budget Policies
• Incident Management & Postmortems
• Toil Reduction Strategies
• On-Call Best Practices

Hands-On:

• Install LitmusChaos on Kubernetes
• Design and run pod failure experiment
• Implement network chaos scenarios
• Create CPU/Memory stress tests
• Define SLIs for sample application
• Calculate and implement SLOs
• Set up error budget tracking dashboard
• Conduct chaos experiment on microservices
• Write postmortem document for incident
• Implement automated rollback on chaos detection

Skills you will learn:

• Applying chaos engineering principles
• Implementing reliability testing in production
• Designing and implementing SRE practices
• Creating error budgets and SLOs
• Building resilient systems through controlled failure

Topics:

• Advanced Terraform Patterns & Anti-Patterns
• Terraform Functions & Expressions
• Dynamic Blocks & For Each
• Terragrunt: DRY Infrastructure Code
• Terragrunt Configuration & Best Practices
• Multi-Cloud Infrastructure Management
• Terraform Cloud & Enterprise Features
• Sentinel Policy as Code
• Writing Sentinel Policies
• Infrastructure Testing with Terratest
• Terraform Import & State Surgery
• Terraform CDK (CDKTF) Introduction
• Pulumi Overview & Comparison
• Cost Estimation with Infracost

Hands-On:

• Implement complex Terraform with dynamic blocks
• Set up Terragrunt for multi-environment
• Create reusable Terragrunt modules
• Deploy infrastructure to AWS and Azure simultaneously
• Write Sentinel policies for compliance
• Implement Terratest for module testing
• Import existing infrastructure to Terraform
• Perform state migration between backends
• Use Infracost for cost estimation
• Create CDKTF infrastructure in Python

Skills you will learn:

• Implementing advanced Terraform patterns
• Using Terragrunt for DRY infrastructure
• Managing multi-cloud infrastructure
• Implementing policy as code with Sentinel
• Automating infrastructure testing

Topics:

• Introduction to FinOps: Framework & Principles
• FinOps Lifecycle: Inform, Optimize, Operate
• Cloud Cost Fundamentals: Pricing Models
• Reserved Instances & Savings Plans
• Spot/Preemptible Instances Strategies
• AWS Cost Explorer & Cost Anomaly Detection
• Azure Cost Management & Budgets
• Kubecost for Kubernetes Cost Management
• Right-sizing Resources
• Idle Resource Detection & Cleanup
• Tagging Strategies for Cost Allocation
• Showback & Chargeback Models
• AI-Powered Cost Optimization
• Cost Governance & Policies
• Building FinOps Culture

Hands-On:

• Analyze cloud costs using AWS Cost Explorer
• Set up Azure budgets and alerts
• Implement tagging strategy for cost allocation
• Install and configure Kubecost
• Identify and terminate idle resources
• Calculate potential savings from Reserved Instances
• Implement Spot instances for non-critical workloads
• Create cost optimization recommendations report
• Build cost dashboard with Grafana
• Implement automated cost alerts and actions

Skills you will learn:

• Implementing FinOps practices and principles
• Optimizing cloud costs across AWS and Azure
• Using AI for cost prediction and optimization
• Implementing cost governance and allocation
• Designing cost-aware architectures