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Full Stack Automation, Data, and DevOps Expert Course Syllabus Powered by CLOUD (AWS/AZURE)
Module 1: Introduction to Jenkins and CI/CD
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Overview of Jenkins: Introduction to Jenkins, its history, and importance in DevOps.
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CI/CD Concepts: Understanding Continuous Integration, Continuous Deployment, and Continuous Delivery.
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Software Development Processes: Agile methodologies and their integration with Jenkins.
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Jenkins Architecture: Master-slave architecture and components.
Module 2: Setting Up Jenkins
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Installation and Configuration: Installing Jenkins on various platforms (Windows, Linux, macOS).
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Setting Up Plugins: Introduction to essential plugins and global configurations.
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User Management: Basic user authentication and authorization.
Module 3: Advanced Pipeline Concepts
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Parallel and Sequential Stages: Managing complex workflows.
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Conditional Execution: Using conditions in pipelines.
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Error Handling: Managing errors and exceptions.
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Environment Variables: Using variables in pipelines.
Module 4: Integrations and Plugins
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Source Code Management: Integrating with Git, SVN.
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Artifacts Management: Using Jenkins for artifact storage.
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Docker Integration: Running Jenkins in Docker containers.
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Kubernetes Deployment: Deploying Jenkins on Kubernetes.
Module 5: Best Practices and Security
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Code Quality and Review: Integrating code analysis tools.
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Testing and Coverage: Integrating testing frameworks.
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Approvals and Triggers: Manual approvals and triggers.
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Secrets Management: Securely handling sensitive data.
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Role-Based Access Control (RBAC): Implementing security roles.
Module 6: Monitoring and Metrics
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Performance Monitoring: Monitoring Jenkins performance.
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Metrics Collection: Collecting and analyzing Jenkins metrics.
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Alerting and Notifications: Setting up alerts and notifications.
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Scaling for Large Organizations: Best practices for large-scale deployments.
Module 1: Introduction to Terraform and Infrastructure as Code (IaC)
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Introduction to Terraform: Overview of Terraform, its history, and role in DevOps.
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Infrastructure as Code (IaC): Concept, advantages, and comparison with other IaC tools.
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Evolution of Cloud Infrastructure: Understanding virtualization, cloud computing, and the need for IaC.
Module 2: Setting Up Terraform
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Installation and Configuration: Installing Terraform on various platforms.
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Understanding Providers: Introduction to Terraform providers and their role.
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Basic Syntax and Configuration Files: Writing Terraform configuration files using HashiCorp Configuration Language (HCL).
Module 3: Terraform Basics
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Terraform Workflow: Understanding the init, plan, apply, and destroy commands.
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Resources and Attributes: Defining infrastructure resources and attributes.
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Input and Output Variables: Using variables for flexibility in Terraform configurations.
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State Management: Understanding Terraform state files and their importance.
Module 4: Advanced Terraform Concepts
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Modules: Creating reusable modules for efficient infrastructure management.
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Workspaces: Managing multiple environments with Terraform workspaces.
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Provisioners: Using local-exec and remote-exec provisioners for resource initialization.
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Data Sources: Fetching data from external sources.
Module 5: Terraform with Cloud Providers
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AWS Integration: Setting up and managing AWS resources with Terraform.
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Azure and Google Cloud Integration: Overview of integrating Terraform with other cloud providers.
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Multi-Cloud Strategies: Managing infrastructure across multiple cloud platforms.
Module 6: Security and Best Practices
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Secure Secret Management: Handling sensitive data securely in Terraform.
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Access Control and Authentication: Managing access to Terraform configurations.
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Remote State Management: Using S3 and DynamoDB for secure state management.
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Best Practices for Terraform Code: Organizing and optimizing Terraform configurations.
Module 1: Introduction to Kubernetes and Containerization
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Introduction to Kubernetes: History, motivation, and role in DevOps.
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Containerization Basics: Introduction to Docker, container concepts, and Dockerfile.
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Setting Up Docker: Installing Docker and running Docker containers.
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Kubernetes Overview: Understanding Kubernetes architecture and components.
Module 2: Setting Up Kubernetes
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Local Setup with Minikube: Installing and running Kubernetes locally.
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Kubernetes Installation Methods: Using kubeadm, kops, and Docker client.
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Minikube vs. Docker Client vs. kops vs. kubeadm: Comparison and use cases.
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Hands-On: Setting up Kubernetes using Minikube.
Module 3: Kubernetes Basics
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Pods and Containers: Understanding pod lifecycle and container management.
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Replication Controllers and Deployments: Managing pod replicas and deployments.
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Services and Load Balancing: Creating services and load balancing.
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Labels and Selectors: Using labels for resource management.
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Health Checks: Implementing readiness and liveness probes.
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Secrets and ConfigMaps: Managing sensitive data and configurations.
Module 4: Advanced Kubernetes Concepts
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Persistent Volumes and Stateful Sets: Managing persistent data.
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Ingress Controllers and External DNS: Exposing services externally.
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Tolerations and Node Affinity: Managing node scheduling.
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Horizontal Pod Autoscaling (HPA): Scaling pods based on resource usage.
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Cluster Autoscaling (CA): Scaling cluster nodes dynamically.
Module 5: Packaging and Deploying Applications
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Introduction to Helm: Creating and managing Helm charts.
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Building and Deploying Applications: Using Helm for application deployment.
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Hands-On: Creating and deploying Helm charts.
Module 6: Continuous Development and Delivery
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Introduction to Skaffold: Automating development workflows.
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CI/CD Pipelines with Kubernetes: Using tools like GitHub Actions and GitOps.
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Hands-On: Implementing CI/CD pipelines.
Module 7: Serverless and Microservices
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Introduction to Serverless: Understanding serverless computing.
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Kubernetes and Serverless Frameworks: Deploying serverless applications.
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Istio and Service Mesh: Introduction to Istio for microservices management.
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Hands-On: Working with Istio for authentication and RBAC.
Module 8: Monitoring, Logging, and Security
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Monitoring with Prometheus and Grafana: Setting up monitoring dashboards.
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Logging with Fluentd and ELK Stack: Managing logs in Kubernetes.
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Security Best Practices: Implementing secure configurations and access controls.
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Hands-On: Setting up monitoring and logging tools.
Module 9: Advanced Topics and Real-World Applications
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Kubernetes on Cloud Providers: Deploying Kubernetes on AWS, Azure, and GCP.
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Multi-Cloud Strategies: Managing Kubernetes across multiple clouds.
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Real-World Case Studies: Implementing Kubernetes in complex environments.
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Hands-On Projects: Deploying real-world applications on Kubernetes.
Module 10: Hands-On Projects and Assessments
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Practical Assignments: Building real-world Kubernetes deployments.
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Real-Time Projects: Implementing Kubernetes in actual environments.
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Assessments and Mock Interviews: Preparing for real-world scenarios.
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Full Stack Automation, Data, and DevOps Expert Job Placement and Certification
The Full Stack Automation, Data, and DevOps Expert Job Placement and Certification program equips you with industry-leading skills in Jenkins, Terraform, Kubernetes, AWS, Azure, and CI/CD pipelines. With expert-led training, hands-on projects, and real-world case studies, you'll gain the expertise needed for high-demand DevOps roles. Our certification validates your proficiency, while dedicated job placement support helps you secure opportunities with top tech companies. Whether you're a beginner or an experienced professional, this program accelerates your path to a successful career in automation and DevOps.
Gain Real-World Skills with Practical Training
Group Project Submission
Designed by Industry Experts
Gain practical experience in real-world scenarios
Frequently Asked Questions
This course is designed for beginners, IT professionals, software engineers, system administrators, DevOps engineers, and anyone looking to master automation, cloud technologies, and DevOps practices.
Basic knowledge of programming, Linux, and cloud computing is helpful but not mandatory. The course covers foundational concepts before diving into advanced topics.
The course covers Jenkins, Terraform, Kubernetes, AWS, Azure, CI/CD, Docker, Git, Python, and more, providing in-depth knowledge of automation, cloud platforms, and DevOps tools.
Yes, upon successful completion, you will receive an industry-recognized certification validating your expertise in Full Stack Automation, Data, and DevOps.
Yes, we offer job placement support, including resume building, mock interviews, and connections with hiring partners to help you secure job opportunities.
The duration varies based on the learning mode. We offer regular, fast-track, and weekend batches to suit different schedules.
We offer both online and in-person training in Chennai, allowing flexibility for learners from different locations.
Graduates can pursue roles like DevOps Engineer, Cloud Engineer, Automation Engineer, Site Reliability Engineer (SRE), and Infrastructure Engineer in top tech companies.
You can enroll by visiting our website, calling our support team, or visiting our Chennai training center. Limited seats are available—register now to secure your spot!