Free Download Certification in DevOps with Cloud, Docker, CI CD & Ansible
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.59 GB | Duration: 13h 28m
Learn Shell Scripting, RedHat Linux, Cloud Services, Docker, SonarQube, CI/CD, Applications in Kubernetes, Ansible, IaC
What you'll learn
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
Requirements
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
DescriptionTake 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
art 1Introduction and Study Plan· Introduction and know your instructor· Study Plan and Structure of the CourseModule 1. Automation Using Shell Scripting & RedHat Linux Administration1.1. Introduction to Shell Scripting & RedHat Linux1.2. Working with Files, Directories, and Permissions1.3. Automating System Tasks Using Shell Scripts1.4. Process, Services, and Resource Management1.5. Network Configuration and Automation1.6. Conclusion of Automation Using Shell Scripting & RedHat Linux AdministrationModule 2. Cloud Services & AWS Fundamentals2.1. Introduction to Cloud Computing and AWS2.2. AWS Identity and Access Management (IAM)2.3. AWS EC2 and Elastic Block Storage (EBS)2.4. S3 and Data Management in AWS2.5. Introduction to AWS Networking: VPC & Route 532.6. Conclusion of Cloud Services & AWS FundamentalsModule 3. Source Code Management & Networking Concepts3.1. Introduction to Git and Version Control3.2. Networking Fundamentals for DevOps3.3. Advanced Git: Hooks, Tags, and Submodules3.4. Source Code Collaboration Tools3.5. Network Automation Using Shell Scripting3.6. Conclusion of Source Code Management & Networking ConceptsModule 4. Package Management (Docker) Using Real-Time Scenarios & Understanding SonarQube4.1. Introduction to Docker4.2. Real-World Scenarios with Docker4.3. Continuous Integration Using Docker4.4. Introduction to SonarQube4.5. Advanced Docker Techniques4.6. Conclusion of Package Management (Docker) Using Real-Time Scenarios & Understanding SonarQubeModule 5. Minor Project Week5.1. Project Planning and Setup5.2. Problem Definition and Requirements5.3. Implementation Phase5.4. Testing and Debugging5.5. Final Presentation and Review5.6. Conclusion of Minor Project WeekModule 6. Continuous Integration and Continuous Delivery6.1. Introduction to CI/CD Concepts6.2. Setting Up Jenkins/GitLab CI for Pipelines6.3. Automating Builds and Tests6.4. Continuous Deployment to Staging/Production6.5. Integrating Docker in CI/CD6.6. Conclusion of Continuous Integration and Continuous DeliveryModule 7. Deep Dive Kubernetes7.1. Kubernetes Architecture and Components7.2. Setting Up a Kubernetes Cluster7.3. Managing Kubernetes Pods and Deployments7.4. Kubernetes Networking and Services7.5. Persistent Storage in Kubernetes7.6. Conclusion of Deep Dive KubernetesModule 8. Working with Applications in Kubernetes8.1. Deploying Stateless Applications8.2. Deploying Stateful Applications8.3. Managing Secrets and ConfigMaps8.4. Autoscaling Applications in Kubernetes8.5. Monitoring and Logging in Kubernetes8.6. Conclusion of Working with Applications in KubernetesModule 9. Ansible9.1. Introduction to Ansible and YAML Basics9.2. Managing Infrastructure with Ansible Playbooks9.3. Automating Application Deployment9.4. Ansible Roles and Galaxy9.5. Ansible Tower for Large-Scale Automation9.6. Conclusion of AnsibleModule 10. Infrastructure As Code using Terraform10.1. Introduction to Infrastructure as Code (IaC)10.2. Writing Terraform Configurations10.3. Managing State and Version Control10.4. Deploying Infrastructure with Terraform10.5. Advanced Terraform Techniques (Modules & Workspaces)10.6. Conclusion of Infrastructure As Code using TerraformModule 11. Monitoring and Logging11.1. Introduction to Monitoring Tools (Prometheus, Nagios)11.2. Logging with ELK Stack (Elasticsearch, Logstash, Kibana)11.3. CloudWatch and CloudTrail in AWS11.4. Setting Up Alerts and Notifications11.5. Centralized Logging and Monitoring in Kubernetes11.6. Conclusion of Monitoring and LoggingModule 12. Major Projects - Mentor and Self Guided12.1. Defining Project Scope and Requirements12.2. Research and Design Phase12.3. Implementation and Development12.4. Testing, Validation, and Debugging12.5. Final Project Presentation and Review12.6. Conclusion of Major ProjectsPart 2Assignments.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.
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