Overview
You will begin your DevOps journey by understanding Automation Using Shell Scripting and RedHat Linux Administration, You will gain a strong understanding of Cloud Services and AWS Fundamentals, where you will explore cloud computing concepts, You will develop expertise in Source Code Management and Networking Concepts, covering version control using Git, collaboration workflows, You will dive into Package Management (Docker) Using Real-Time Scenarios and Understanding SonarQube, You will gain practical experience through a Minor Project Week, where you will apply your learning to define project requirements, implement automation tasks, You will master Continuous Integration and Continuous Delivery (CI/CD) concepts, setting up automated build and deployment pipelines using Jenkins or GitLab, You will explore Deep Dive Kubernetes, learning about Kubernetes architecture, components, and cluster setup, You will work on Applications in Kubernetes, deploying both stateless and stateful applications, managing ConfigMaps, Secrets, You will learn Ansible for Configuration Management, starting with YAML basics and progressing to writing playbooks, automating application deployments, You will advance into Infrastructure as Code using Terraform, where you will create, modify, and manage cloud infrastructure declaratively, You will explore Monitoring and Logging, learning to use Prometheus, Nagios, and the ELK Stack for real-time monitoring, alerting, and log analysis, Finally, you will apply everything learned in Major Projects – Mentor and Self-Guided, where you will define, design, implement, test, and present
Aspiring DevOps engineers, cloud administrators, and automation specialists looking to build practical, hands-on experience with core DevOps tools and practices., System administrators, IT professionals, and software engineers who want to transition into DevOps roles and implement automation across development and operations., Students, educators, and researchers interested in exploring the real-world integration of cloud, CI/CD, and infrastructure as code., Network engineers and infrastructure professionals who want to enhance their skills in configuration management, container orchestration, and monitoring., Technical managers and project leads aiming to understand DevOps workflows to streamline team collaboration and deployment processes.
You should have an interest in DevOps, cloud technologies, and automation, and a desire to learn how modern software delivery works through continuous integration and deployment, A willingness to practice hands-on with tools such as Linux, Git, Docker, Kubernetes, Jenkins, Ansible, and Terraform for automating tasks and managing infrastructure.
Description
Take the next step in your DevOps and cloud automation journey! Whether you’re an aspiring DevOps engineer, system administrator, or IT professional, this course will equip you with the essential tools and workflows to automate, deploy, and manage software in real-world environments. Learn how to leverage Linux, AWS, Docker, Jenkins, Kubernetes, Ansible, Terraform, and monitoring tools to build scalable, automated DevOps pipelines.
Guided by practical projects and real-time lab exercises, you will:
• Master the fundamentals of Linux administration, shell scripting, and automation.
• Gain hands-on experience with cloud infrastructure management on AWS.
• Learn source code management, containerization, and continuous delivery pipelines.
• Work with Kubernetes for application orchestration and scaling.
• Automate infrastructure provisioning with Ansible and Terraform.
• Implement monitoring and logging solutions to maintain system reliability.
• Complete real-world DevOps projects integrating all tools and stages of the DevOps lifecycle.
By the end of the course, you’ll be ready to design, implement, and maintain complete DevOps pipelines used by top organizations worldwide.
The Frameworks of the Course
• Engaging video lectures, demonstrations, real-world projects, downloadable resources, and interactive labs designed to help you build deep practical understanding of DevOps tools and workflows.
• The course includes case studies, automation exercises, cloud labs, self-paced assessments, and industry-based projects to strengthen your end-to-end DevOps implementation skills.
• In the first part of the course, you’ll build your foundation in Linux administration, shell scripting, cloud fundamentals, and Git-based version control.
• In the middle part, you will gain hands-on experience with Docker, Kubernetes, Jenkins, and CI/CD pipeline automation, along with configuration management and IaC tools like Ansible and Terraform.
• In the final part, you will focus on monitoring, logging, and full-scale project execution, applying every skill to build and deploy real DevOps environments. All your queries will be addressed within 48 hours, with full support throughout your learning journey to ensure you gain both conceptual clarity and real-world technical confidence.
Course Content:
Part 1
Introduction and Study Plan
· Introduction and know your instructor
· Study Plan and Structure of the Course
Module 1. Automation Using Shell Scripting & RedHat Linux Administration
1.1. Introduction to Shell Scripting & RedHat Linux
1.2. Working with Files, Directories, and Permissions
1.3. Automating System Tasks Using Shell Scripts
1.4. Process, Services, and Resource Management
1.5. Network Configuration and Automation
1.6. Conclusion of Automation Using Shell Scripting & RedHat Linux Administration
Module 2. Cloud Services & AWS Fundamentals
2.1. Introduction to Cloud Computing and AWS
2.2. AWS Identity and Access Management (IAM)
2.3. AWS EC2 and Elastic Block Storage (EBS)
2.4. S3 and Data Management in AWS
2.5. Introduction to AWS Networking: VPC & Route 53
2.6. Conclusion of Cloud Services & AWS Fundamentals
Module 3. Source Code Management & Networking Concepts
3.1. Introduction to Git and Version Control
3.2. Networking Fundamentals for DevOps
3.3. Advanced Git: Hooks, Tags, and Submodules
3.4. Source Code Collaboration Tools
3.5. Network Automation Using Shell Scripting
3.6. Conclusion of Source Code Management & Networking Concepts
Module 4. Package Management (Docker) Using Real-Time Scenarios & Understanding SonarQube
4.1. Introduction to Docker
4.2. Real-World Scenarios with Docker
4.3. Continuous Integration Using Docker
4.4. Introduction to SonarQube
4.5. Advanced Docker Techniques
4.6. Conclusion of Package Management (Docker) Using Real-Time Scenarios & Understanding SonarQube
Module 5. Minor Project Week
5.1. Project Planning and Setup
5.2. Problem Definition and Requirements
5.3. Implementation Phase
5.4. Testing and Debugging
5.5. Final Presentation and Review
5.6. Conclusion of Minor Project Week
Module 6. Continuous Integration and Continuous Delivery
6.1. Introduction to CI/CD Concepts
6.2. Setting Up Jenkins/GitLab CI for Pipelines
6.3. Automating Builds and Tests
6.4. Continuous Deployment to Staging/Production
6.5. Integrating Docker in CI/CD
6.6. Conclusion of Continuous Integration and Continuous Delivery
Module 7. Deep Dive Kubernetes
7.1. Kubernetes Architecture and Components
7.2. Setting Up a Kubernetes Cluster
7.3. Managing Kubernetes Pods and Deployments
7.4. Kubernetes Networking and Services
7.5. Persistent Storage in Kubernetes
7.6. Conclusion of Deep Dive Kubernetes
Module 8. Working with Applications in Kubernetes
8.1. Deploying Stateless Applications
8.2. Deploying Stateful Applications
8.3. Managing Secrets and ConfigMaps
8.4. Autoscaling Applications in Kubernetes
8.5. Monitoring and Logging in Kubernetes
8.6. Conclusion of Working with Applications in Kubernetes
Module 9. Ansible
9.1. Introduction to Ansible and YAML Basics
9.2. Managing Infrastructure with Ansible Playbooks
9.3. Automating Application Deployment
9.4. Ansible Roles and Galaxy
9.5. Ansible Tower for Large-Scale Automation
9.6. Conclusion of Ansible
Module 10. Infrastructure As Code using Terraform
10.1. Introduction to Infrastructure as Code (IaC)
10.2. Writing Terraform Configurations
10.3. Managing State and Version Control
10.4. Deploying Infrastructure with Terraform
10.5. Advanced Terraform Techniques (Modules & Workspaces)
10.6. Conclusion of Infrastructure As Code using Terraform
Module 11. Monitoring and Logging
11.1. Introduction to Monitoring Tools (Prometheus, Nagios)
11.2. Logging with ELK Stack (Elasticsearch, Logstash, Kibana)
11.3. CloudWatch and CloudTrail in AWS
11.4. Setting Up Alerts and Notifications
11.5. Centralized Logging and Monitoring in Kubernetes
11.6. Conclusion of Monitoring and Logging
Module 12. Major Projects - Mentor and Self Guided
12.1. Defining Project Scope and Requirements
12.2. Research and Design Phase
12.3. Implementation and Development
12.4. Testing, Validation, and Debugging
12.5. Final Project Presentation and Review
12.6. Conclusion of Major Projects
Part 2
Assignments.
Human and Emotion: CHRMI
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