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Full Stack Automation, Data, and DevOps Expert Course Syllabus Powered by CLOUD (AWS/AZURE)

Duration : 3 Weeks
Category :Devops,Development Operations

The objective of the DevOps Training program is to equip learners with the essential skills, tools, and methodologies required to streamline software development and IT operations through continuous integration, continuous delivery, automation, and collaboration. This course provides a comprehensive foundation in DevOps culture, processes, pipelines, and industry-standard tools used to build efficient, scalable, and high-performing development environments.

Learners will gain hands-on experience with version control, build automation, containerization, orchestration, configuration management, monitoring, and cloud-based deployment workflows. The training covers practical implementations using tools such as Git, Jenkins, Docker, Kubernetes, Ansible, Terraform, and various cloud services. Emphasis is placed on real-time project scenarios, automation strategies, and best practices that support faster and more reliable software delivery.

By the end of the course, learners will be able to design and execute automated CI/CD pipelines, manage infrastructure as code, enhance development efficiency, and support continuous deployment—preparing them for roles such as DevOps Engineer, Site Reliability Engineer (SRE), Cloud Engineer, and Build & Release Engineer in modern software organizations.

    Module 1: Introduction to Jenkins and CI/CD
  • Overview of Jenkins: Introduction to Jenkins, its history, and importance in DevOps.
  • CI/CD Concepts: Understanding Continuous Integration, Continuous Deployment, and Continuous Delivery.
  • Software Development Processes: Agile methodologies and their integration with Jenkins.
  • Jenkins Architecture: Master-slave architecture and components.
    Module 2: Setting Up Jenkins
  • Installation and Configuration: Installing Jenkins on various platforms (Windows, Linux, macOS).
  • Setting Up Plugins: Introduction to essential plugins and global configurations.
  • User Management: Basic user authentication and authorization.
    Module 3: Advanced Pipeline Concepts
  • Source Code Management: Integrating with Git, SVN.
  • Artifacts Management: Using Jenkins for artifact storage.
  • Docker Integration: Running Jenkins in Docker containers.
  • Kubernetes Deployment: Deploying Jenkins on Kubernetes.
    Module 4: Integrations and Plugins
  • Parallel and Sequential Stages: Managing complex workflows.
  • Conditional Execution: Using conditions in pipelines.
  • Error Handling: Managing errors and exceptions.
  • Environment Variables: Using variables in pipelines.
    Module 5: Best Practices and Security
  • Code Quality and Review: Integrating code analysis tools.
  • Testing and Coverage: Integrating testing frameworks.
  • Approvals and Triggers: Manual approvals and triggers.
  • Secrets Management: Securely handling sensitive data.
  • Role-Based Access Control (RBAC): Implementing security roles.
    Module 6: Monitoring and Metrics
  • Performance Monitoring: Monitoring Jenkins performance.
  • Metrics Collection: Collecting and analyzing Jenkins metrics.
  • Alerting and Notifications: Setting up alerts and notifications.
  • Scaling for Large Organizations: Best practices for large-scale deployments.
    Module 1: Introduction to Terraform and Infrastructure as Code (IaC)
  • Introduction to Terraform: Overview of Terraform, its history, and role in DevOps.
  • Infrastructure as Code (IaC): Concept, advantages, and comparison with other IaC tools.
  • Evolution of Cloud Infrastructure: Virtualization, cloud computing, and the need for IaC.
    Module 2: Setting Up Terraform
  • Installation and Configuration: Installing Terraform on Windows, Linux, and macOS.
  • Understanding Providers: Introduction to Terraform providers and their role.
  • Basic Syntax and Configuration Files: Writing Terraform configuration files using HCL.
    Module 3: Terraform Basics
  • Terraform Workflow: Understanding init, plan, apply, and destroy commands.
  • Resources and Attributes: Defining infrastructure resources and attributes.
  • Input and Output Variables: Using variables for flexible configurations.
  • State Management: Understanding Terraform state files and their importance.
    Module 4: Advanced Terraform Concepts
  • Modules: Creating reusable modules for efficient infrastructure management.
  • Workspaces: Managing multiple environments with Terraform workspaces.
  • Provisioners: Using local-exec and remote-exec provisioners.
  • Data Sources: Fetching data from external sources.
    Module 5: Terraform with Cloud Providers
  • AWS Integration: Setting up and managing AWS resources using Terraform.
  • Azure and Google Cloud Integration: Managing infrastructure on Azure and GCP.
  • Multi-Cloud Strategies: Managing infrastructure across multiple cloud platforms.
    Module 6: Security and Best Practices
  • Secure Secret Management: Handling sensitive data securely in Terraform.
  • Access Control and Authentication: Managing access to Terraform configurations.
  • Remote State Management: Using S3 and DynamoDB for state locking and security.
  • Best Practices for Terraform Code: Organizing and optimizing Terraform projects.
    Module 1: Introduction to Kubernetes and Containerization
  • Introduction to Kubernetes: History, motivation, and role in DevOps.
  • Containerization Basics: Introduction to Docker, container concepts, and Dockerfile.
  • Setting Up Docker: Installing Docker and running Docker containers.
  • Kubernetes Overview: Understanding Kubernetes architecture and components.
    Module 2: Setting Up Kubernetes
  • Local Setup with Minikube: Installing and running Kubernetes locally.
  • Kubernetes Installation Methods: Using kubeadm, kops, and Docker client.
  • Minikube vs Docker Client vs kops vs kubeadm: Comparison and use cases.
  • Hands-On: Setting up Kubernetes using Minikube.
    Module 3: Kubernetes Basics
  • Pods and Containers: Understanding pod lifecycle and container management.
  • Replication Controllers and Deployments: Managing pod replicas and deployments.
  • Services and Load Balancing: Creating services and load balancing.
  • Labels and Selectors: Using labels for resource management.
  • Health Checks: Implementing readiness and liveness probes.
  • Secrets and ConfigMaps: Managing sensitive data and configurations.
    Module 4: Advanced Kubernetes Concepts
  • Persistent Volumes and Stateful Sets: Managing persistent data.
  • Ingress Controllers and External DNS: Exposing services externally.
  • Tolerations and Node Affinity: Managing node scheduling.
  • Horizontal Pod Autoscaling (HPA): Scaling pods based on resource usage.
  • Cluster Autoscaling (CA): Scaling cluster nodes dynamically.
    Module 5: Packaging and Deploying Applications
  • Introduction to Helm: Creating and managing Helm charts.
  • Building and Deploying Applications: Using Helm for application deployment.
  • Hands-On: Creating and deploying Helm charts.
    Module 6: Continuous Development and Delivery
  • Introduction to Skaffold: Automating development workflows.
  • CI/CD Pipelines with Kubernetes: Using GitHub Actions and GitOps.
  • Hands-On: Implementing CI/CD pipelines.
    Module 7: Serverless and Microservices
  • Introduction to Serverless: Understanding serverless computing.
  • Kubernetes and Serverless Frameworks: Deploying serverless applications.
  • Istio and Service Mesh: Introduction to Istio for microservices management.
  • Hands-On: Working with Istio for authentication and RBAC.
    Module 8: Monitoring, Logging, and Security
  • Monitoring with Prometheus and Grafana: Setting up monitoring dashboards.
  • Logging with Fluentd and ELK Stack: Managing logs in Kubernetes.
  • Security Best Practices: Implementing secure configurations and access controls.
  • Hands-On: Setting up monitoring and logging tools.
    Module 9: Advanced Topics and Real-World Applications
  • Kubernetes on Cloud Providers: Deploying Kubernetes on AWS, Azure, and GCP.
  • Multi-Cloud Strategies: Managing Kubernetes across multiple clouds.
  • Real-World Case Studies: Implementing Kubernetes in complex environments.
  • Hands-On Projects: Deploying real-world applications on Kubernetes.
    Module 10: Hands-On Projects and Assessments
  • Practical Assignments: Building real-world Kubernetes deployments.
  • Real-Time Projects: Implementing Kubernetes in actual environments.
  • Assessments and Mock Interviews: Preparing for real-world scenarios.

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