Full Stack DevOps Trainers
Full Stack DevOps Trainers For : Online - Classroom - Corporate Training in Worldwide
What is Full Stack DevOps?
Full Stack DevOps refers to a comprehensive approach to software development and IT
operations, where a professional or team is responsible for the entire lifecycle of an
application from code development to deployment, infrastructure management, and monitoring.
Unlike traditional roles, which are typically divided between development (Dev) and
operations (Ops) teams, Full Stack DevOps combines these responsibilities, often including
tasks in development, testing, release management, configuration, monitoring, and cloud
infrastructure management. The goal of Full Stack DevOps is to create a seamless workflow
that integrates all aspects of software delivery into one unified pipeline, allowing for
continuous integration (CI), continuous delivery (CD), and real-time monitoring. This
approach enables teams to maintain high-quality code while managing scalability, security,
and performance across multiple platforms.
In practical terms, Full Stack DevOps professionals are expected to have a diverse skill set
that spans front-end and back-end development, infrastructure as code (IaC), automation,
cloud platforms (AWS, Azure, Google Cloud), containerization tools (Docker), orchestration
tools (Kubernetes), and CI/CD pipeline setup. These professionals must be capable of working
across the entire technology stack, from developing features and handling version control to
automating deployment, managing infrastructure, and setting up monitoring systems to ensure
the application operates as expected in production. Full Stack DevOps is crucial in
environments where quick iterations, high availability, and continuous feedback are
essential, particularly in cloud-native applications and microservices architectures. It
enhances collaboration, reduces handoffs, and accelerates the software delivery process,
making it an invaluable strategy for modern, agile organizations.
Importance of Quality Trainer for Full Stack DevOps?
A Quality Trainer for Full Stack DevOps is crucial because Full Stack DevOps involves a comprehensive understanding of both development and operations across the entire software lifecycle. This includes everything from coding, version control, continuous integration, and deployment pipelines, to infrastructure management, monitoring, and security. Given the complexity of integrating development, testing, deployment, and operations in a continuous delivery pipeline, a skilled trainer ensures learners can effectively manage and automate the processes that keep modern applications running smoothly in production.
A Quality Trainer for Full Stack DevOps is crucial because Full Stack DevOps involves a comprehensive understanding of both development and operations across the entire software lifecycle. This includes everything from coding, version control, continuous integration, and deployment pipelines, to infrastructure management, monitoring, and security. Given the complexity of integrating development, testing, deployment, and operations in a continuous delivery pipeline, a skilled trainer ensures learners can effectively manage and automate the processes that keep modern applications running smoothly in production.
Moreover, a good Full Stack DevOps trainer emphasizes collaboration and communication between teams. DevOps is not just about tools—it’s about fostering a culture of shared responsibility between developers, operations, security, and quality assurance teams. A skilled trainer teaches best practices for cross-functional collaboration, version control strategies, and agile methodologies to ensure the team works cohesively toward a common goal, improving both software delivery speed and system reliability.
A quality Full Stack DevOps trainer also focuses on security, scalability, and performance optimization. They ensure learners understand how to build secure systems by integrating security practices early in the development process (shift-left security) and maintaining system performance through efficient resource utilization, load balancing, and automated scaling strategies.
Finally, a quality trainer ensures that learners are industry-ready and confident. By combining theoretical knowledge with practical exercises, troubleshooting, and real-world scenarios, learners gain the skills and confidence to manage the entire software lifecycle in complex, production-ready systems. This makes them valuable contributors to any organization seeking to improve agility, reduce deployment times, and ensure system reliability in a fast-paced, cloud-based environment.
How DevopsSchool's Trainer is best in industry for Full Stack DevOps?
DevOpsSchool's trainers are considered among the best in the industry for Continuous Delivery (CD) due to their deep industry expertise, practical experience, and hands-on teaching approach. They possess extensive real-world knowledge in Full Stack DevOps, Full Stack DevOps, and IT automation, often having implemented large-scale Full Stack DevOps solutions in enterprise environments. The training curriculum they provide is comprehensive and up-to-date with the latest tools and methodologies, ensuring learners gain practical skills that are immediately applicable. DevOpsSchool emphasizes hands-on learning, where trainers guide participants through real-world scenarios and projects, making complex topics more accessible. Moreover, these trainers offer personalized guidance, tailoring their teaching to the learner's specific needs and goals. With recognized certifications and a proven track record of producing successful Full Stack DevOps professionals, DevOpsSchool's trainers stand out for their ability to provide both deep technical insights and practical, career-boosting knowledge.
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OUR POPULAR CERTIFICAITON
| CERTIFICAITON / COURSES NAME | AGENDA | FEES | DURATION | ENROLL NOW |
|---|---|---|---|---|
| DevOps Certified Professional (DCP) | CLICK HERE | 24,999/- | 60 Hours | |
| DevSecOps Certified Professional (DSOCP) | CLICK HERE | 49,999/- | 100 Hours | |
| Site Reliability Engineering (SRE) Certified Professional | CLICK HERE | 49,999/- | 100 Hours | |
| Master in DevOps Engineering (MDE) | CLICK HERE | 99,999/- | 120 Hours | |
| Master in Container DevOps | CLICK HERE | 34,999/- | 20 Hours | |
| MLOps Certified Professional (MLOCP) | CLICK HERE | 49,999/- | 100 Hours | |
| Container Certified Professional (AIOCP) | CLICK HERE | 49,999/- | 100 Hours | |
| DataOps Certified Professional (DOCP) | CLICK HERE | 49,999/- | 60 Hours | |
| Kubernetes Certified Administrator & Developer (KCAD) | CLICK HERE | 29,999/- | 20 Hours |
Features of DevOpsSchool:-
- Known, Qualified and Experienced Git Trainer.
- Assignments with personal assistance.
- Real time scenario based projects with standard evaluation.
- Hands on Approach - We emphasize on learning by doing.
- The class is consist of Lab by doing.
- Life time access to all learning materials & Lifetime technical support.
Profiles - Full Stack DevOps Trainers
Full Stack DevOps Course content designed by our Full Stack DevOps Trainers
Introduction to Full Stack DevOps
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Overview of DevOps principles and practices
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Understanding Full Stack DevOps and its role in the software development lifecycle
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Key benefits of adopting DevOps: faster delivery, better collaboration, and higher-quality software
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Real-world use cases of Full Stack DevOps in modern software development and cloud-native environments
DevOps Fundamentals
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The DevOps culture: collaboration between development, operations, and security teams
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Continuous Integration (CI), Continuous Deployment (CD), and Continuous Testing (CT)
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DevOps lifecycle: Planning, Coding, Building, Testing, Releasing, Deploying, Operating, and Monitoring
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Key tools and technologies used in DevOps pipelines
Version Control and Source Code Management
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Introduction to version control systems (VCS): Git and GitHub
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Setting up and managing Git repositories for DevOps projects
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Best practices for branching, merging, and conflict resolution in Git
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Using Git workflows (feature branching, GitFlow, etc.) in a collaborative DevOps environment
Continuous Integration (CI)
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Overview of CI principles and the importance of automated builds and testing
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Setting up a CI pipeline using Jenkins, GitLab CI, or CircleCI
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Integrating automated testing into the CI pipeline (unit tests, integration tests, security tests)
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Automating code analysis and build verification with static code analysis tools
Continuous Deployment and Delivery (CD)
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Difference between Continuous Deployment (CD) and Continuous Delivery (CD)
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Setting up automated deployment pipelines for production and non-production environments
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Tools for Continuous Deployment: Jenkins, GitLab CI, Spinnaker, ArgoCD
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Best practices for managing deployment approvals, rollbacks, and rollback strategies
Infrastructure as Code (IaC)
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Introduction to Infrastructure as Code and its importance in DevOps
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Using Terraform and AWS CloudFormation for provisioning and managing infrastructure
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Automating environment setup and configuration management with Ansible, Puppet, or Chef
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Best practices for version-controlled infrastructure and reproducibility
Containerization and Container Orchestration
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Introduction to containers: Docker and containerization benefits in DevOps
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Building, deploying, and managing Docker containers
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Introduction to Kubernetes: orchestrating and managing containers at scale
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Configuring Kubernetes clusters, pods, services, and deployments for application management
Monitoring and Observability
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Importance of monitoring and observability in Full Stack DevOps
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Setting up monitoring tools like Prometheus, Grafana, and Datadog
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Collecting logs and metrics from applications and infrastructure
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Using ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging and visualization
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Configuring alerting and notification systems for proactive issue resolution
Cloud Platforms and Cloud-Native DevOps
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Introduction to cloud platforms: AWS, Azure, Google Cloud Platform (GCP)
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Leveraging cloud services for scalable DevOps environments
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Setting up cloud-based CI/CD pipelines with cloud providers' native tools
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Using cloud-native tools like AWS CodePipeline, Azure DevOps, and GCP Cloud Build for deployment automation
Security in DevOps (DevSecOps)
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Understanding the importance of security in the DevOps lifecycle
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Integrating security practices into the CI/CD pipeline: Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST)
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Automating vulnerability scanning and remediation with tools like Snyk, Clair, and Trivy
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Managing secrets and credentials securely using Vault, Kubernetes secrets, and other solutions
Configuration Management
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Introduction to configuration management in DevOps
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Using tools like Ansible, Chef, and Puppet to automate system configurations
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Managing configuration files and deployments across environments
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Handling application and infrastructure configurations in an automated, consistent way
Agile Methodologies and Scrum in DevOps
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Understanding Agile methodologies and how they relate to DevOps
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Scrum practices: Sprints, standups, and retrospectives in a DevOps environment
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Aligning development, operations, and security teams using Agile principles
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Implementing Agile project management tools like Jira, Trello, and Asana
Collaboration and Communication Tools in DevOps
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Overview of collaboration tools in DevOps: Slack, Microsoft Teams, Confluence, and JIRA
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Automating notifications and communication between development, operations, and security teams
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Building a collaborative environment through documentation, feedback loops, and transparency
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Using chatops for streamlining operations and automating communication
Full Stack DevOps Toolchain
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Understanding the end-to-end toolchain for Full Stack DevOps
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Integrating the tools: Git, Jenkins, Docker, Kubernetes, Terraform, Prometheus, and more
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Customizing the DevOps pipeline to meet specific organizational requirements
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Best practices for selecting and implementing tools in a Full Stack DevOps pipeline
Cloud-Native CI/CD Pipelines
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Building and deploying cloud-native applications using CI/CD pipelines
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Configuring Kubernetes-based CI/CD for containerized applications
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Continuous monitoring, logging, and scaling in cloud-native environments
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Using tools like Helm for Kubernetes deployments and Helm charts
DevOps Culture and Change Management
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Fostering a DevOps culture: Collaboration, communication, and automation
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Implementing change management strategies in DevOps organizations
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Managing cultural resistance and driving the DevOps transformation
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Creating feedback loops for continuous improvement in DevOps processes
Hands-on Labs and Practical Exercises
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Setting up a basic CI/CD pipeline using Jenkins or GitLab CI
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Creating Docker containers and deploying them on Kubernetes clusters
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Automating infrastructure provisioning with Terraform and Ansible
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Monitoring system performance with Prometheus and Grafana
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Implementing security checks in the CI/CD pipeline
Real-world Use Cases and Case Studies
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Case studies of organizations adopting Full Stack DevOps practices
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Lessons learned from scaling DevOps in large enterprise environments
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Best practices for managing high-volume, high-availability applications
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Success stories in automating deployments and improving time-to-market
Career Guidance and Certification Paths
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Roles and responsibilities for Full Stack DevOps engineers
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Recommended certifications: AWS Certified DevOps Engineer, Kubernetes Administrator, Docker Certified Associate
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Resume building, portfolio creation, and interview preparation
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Trainer tips for industry readiness and career advancement
Review, Assessment, and Knowledge Check
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Recap of Full Stack DevOps concepts, best practices, and tools
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Hands-on evaluation and feedback based on practical exercises
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Scenario-based exercises for building, deploying, and managing applications
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Preparing for real-world Full Stack DevOps deployments and certifications
Training Flow
The Full Stack DevOps Course is designed to provide participants with comprehensive knowledge and hands-on experience in implementing DevOps practices across the entire software development lifecycle (SDLC). From source code management and continuous integration (CI) to deployment, monitoring, and scaling applications in production environments, this course covers all aspects of DevOps, integrating development and operations into a unified, streamlined process. Participants will gain expertise in automation, cloud technologies, and containerization, equipping them to handle modern software delivery pipelines.
High-Level Training Flow – Full Stack DevOps Course
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Training Needs Analysis (TNA)
Assess participants’ current understanding of DevOps principles, software development processes, cloud technologies, automation tools, and CI/CD practices to define course objectives and identify skill gaps. -
Curriculum Finalization & Agenda Approval
Confirm course modules, session schedules, and learning outcomes covering topics such as version control (Git), CI/CD pipeline setup, containerization (Docker, Kubernetes), cloud deployment (AWS, Azure), infrastructure automation (Terraform, Ansible), and monitoring (Prometheus, ELK stack). The agenda is reviewed and approved to align with participants' needs and goals. -
Environment Setup
Prepare the necessary tools, software, and cloud infrastructure for hands-on labs. Participants will gain access to DevOps tools, containerization platforms (Docker, Kubernetes), cloud accounts (AWS/Azure), and the required resources to complete practical exercises. -
Content Preparation
Develop slides, demos, exercises, and case studies covering topics such as source code management, continuous integration, automated testing, containerization, orchestration, infrastructure as code (IaC), cloud deployments, and application monitoring. The content will be project-driven, helping participants learn through real-world scenarios. -
Training Delivery
Conduct live sessions that mix theory and practice. Participants will learn to build CI/CD pipelines, deploy applications to cloud environments, use version control systems, automate testing, implement container orchestration, and monitor system performance. Each module will be followed by hands-on exercises to reinforce learning. -
Daily Recap & Lab Review
Summarize key concepts after each session, review the hands-on lab exercises, and address any questions. This recap ensures that participants understand the material before moving on to more advanced topics, allowing them to apply their learning effectively. -
Assessment & Project Submission
Evaluate participants through quizzes, practical exercises, and a final project. The final project typically involves setting up an end-to-end DevOps pipeline using version control, continuous integration, deployment automation, containerization, and monitoring tools, demonstrating their ability to apply DevOps practices in a real-world context. -
Feedback Collection
Gather participant feedback on content clarity, delivery pace, practical application, and how the course helped them understand DevOps tools and practices. This feedback helps refine future courses and improve the learning experience for all participants. -
Post-Training Support
Provide continuous support via Q&A sessions, Slack/Telegram groups, or email. Participants can seek advice on implementing DevOps practices in their organizations, get help with troubleshooting, and share their challenges as they apply DevOps methodologies in real-world environments. -
Training Report Submission
Document attendance, assessment results, project completion, and participant feedback. The report offers a comprehensive overview of the training outcomes, providing evidence of participant readiness to apply DevOps principles across the software development lifecycle.
