DevOps Master Program | Jump-start your career as a DevOps Engineer
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Best DevOps Course Jump-start your career as a DevOps Engineer

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Master Essential DevOps Skills

Master DevOps Course, providing a highengagement learning experience and real world applications to help master essential DevOps skills. Students also will get hands-on experience in continuous deployment using current configuration management tools .This Devops Course will enable students to demonstrate their knowledge of automating workflow and getting products to market more efficiently and effectively with tools such as Ansible, Jenkins, Docker, Kubernetes, and GIT.

The Learning Path - Master DevOps Course

Master the DevOps Course from 01 to 10...

01. Linux Basics to Advanced
  1. Getting started with Red Hat Enterprise Linux.
  2. Access, Manage files from the command line.
  3. Get help in Red Hat Enterprise Linux.
  4. Create, view & edit text files, Manage local users & groups.
  5. Control access to files,Monitor & manage Linux processes.
  6. Control services & daemons,Configure & secure SSH.
  7. Analyze & store logs,Manage networking.
  8. Archive & transfer files,Install & update software.
  9. Access Linux files systems, Improving command line productivity using shell scripts.
  10. Schedule future tasks,Tune system performance.
  11. Control access to files with Access Control Lists, Manage SELinux security.
  12. Maintain basic storage,Manage logical volumes.
  13. Implement advanced storage features like vdo & stratis.
  14. Access network-attached storage.
  15. Control the boot process, Manage network security using firewalld.
  16. Install Red Hat Enterprise Linux, Run Containers.
02. Ansible Linux Automation
  1. Introduction to Ansible, Using Ansible ad-hoc commands.
  2. Writing an Ansible Playbook, Simple webserver deployment via Ansible.
  3. Using Ansible variables and facts.
  4. Iterating tasks using an Ansible loop.
  5. Managing tasks using Ansible conditions.
  6. Handling errors in Ansible.
  7. Handling task execution using Handlers.
  8. Connecting Ansible to AWS for dynamic provisioning.
  9. Introduction to jinja2 in Ansible.
  10. Advanced jinja2 concepts for dynamic content delivery.
  11. Managing multiple playbooks and complexity.
  12. Creating Ansible roles, Loadbalancer configuration deployment via Ansible.
  13. Using Ansible Galaxy for roles.
  14. SSH hardening via Ansible.
  15. Common use cases for Ansible modules.
  16. Ansible-lint and industry standards.
  17. Working with Ansible collections.
03. AWS Amazon Cloud
  1. Cloud computing - concepts.
  2. Benefits, models, Elastic compute cloud.
  3. Elastic block storage, EBS volumes & snapshots.
  4. AMI types - EBS vs Instance store.
  5. ENI vs ENA vs EFA.
  6. Types of instances, Cloudwatch.
  7. Identity and Access Management.
  8. Object Storage - S3, S3 pricing tiers, S3 security, S3 versioning, S3 performance
  9. CloudFront, Snowball, Storage gateway,
  10. Databases on AWS, RDS backup, multi-az & read replicas,
  11. Database migration service (DMS), EMR overview,
  12. Advanced IAM, IAM policies, AWS Single Sign-on,
  13. Route53, DNS, Virtual Private Cloud,
  14. Elastic Load Balancers,
  15. Auto Scaling, HA architecture, Elastic beanstalk,
  16. On-premises strategies with AWS, Simple workflow service,
  17. Simple notification service,
  18. Introduction to Lambda, Elastic container service (ECS)
04. Terraform Cloud Automation
  1. Introduction to IAC - Infrastructure as Code
  2. Introduction to Terraform
  3. Working with Terraform CLI
  4. Exploring Terraform commands
  5. Terraform modules, Terraform workflow,
  6. Planning & Writing in Terraform,
  7. Terraform Create & Destroy,
  8. Terraform state on a local backend,
  9. Terraform state on S3 buckets,
  10. Terraform refresh,
  11. Terraform authentication methods,
  12. Variables, Available configurations in Terraform,
  13. Functions in Terraform,
  14. Enterprise Terraform - Terraform Cloud,
  15. Terraform Sentinel.
05. Docker Containerization
  1. Introduction to Containers and Containerization,
  2. Introduction to Docker,
  3. Setting up a Docker node - On-premise & Cloud, Installing Docker,
  4. Docker Architecture, Engine, Images & Containers, Hub,
  5. Introduction to Docker commands,
  6. Creating Docker containers,
  7. Exposing container ports, Limiting resource utilization by containers,
  8. Docker logging,
  9. Networking in Docker environments,
  10. Introduction to Dockerfile,
  11. Creating Dockerfiles from scratch,
  12. Docker image history, Inspecting container processes,
  13. Docker events,
  14. Automating container deployments,
  15. Introduction to Docker compose,
  16. Docker compose CLI,
  17. Creating Docker compose files,
  18. Introduction to Docker Swarm,
  19. Running Docker in swarm mode,
  20. Working with Docker security,
  21. Docker content trust,
  22. Working with secrets in Docker.
06. Kubernetes Container Orchestration
  1. Kubernetes ETCD, Kube-API Server,
  2. Controller Manager in Kubernetes, Scheduler,
  3. Kubelet & Kubeproxy, Kubernetes pods,
  4. Replica sets & Deployments,
  5. Service Cluster IP,
  6. Manual scheduling in Kubernetes,
  7. Labels & Selectors,
  8. Resource requirements & Limits, Daemon sets,
  9. Static pods, Multiple Schedulers,
  10. Monitor Cluster Components,
  11. Managing Application logs, Rolling updates & Rollbacks,
  12. Scale applications in Kubernetes,
  13. Multi-container pods, Design pattern for pods,
  14. Init-containers, Self healing applications,
  15. Upgrading Kubernetes clusters, Kubernetes software versions, Backup and Restore Clusters.
07. GIT Source Control & Jenkins Pipeline
  1. Introduction to continuous integration and continuous deployment (CI/CD),
  2. Describe the principles of DevOps and the role of Jenkins.,
  3. Integrate source code with version control,
  4. Manage source code changes with Git version control.,
  5. Test applications,
  6. Describe the foundational principles behind comprehensive application testing,
  7. implement unit, integration, and functional  testing,
  8. Build applications with test-driven development,
  9. Implement and build application features with TDD.

Jenkins Pipeline

Author pipelines.
Create basic pipelines to run Jenkins jobs.
Deploy applications with pipelines.
Safely and automatically deploy applications to Red Hat OpenShift Container Pipelines.
Implement pipeline security and monitoring.
Manage the security and monitor the performance of pipelines.
Consume pipelines.
Work with and troubleshoot CI/CD pipelines for automated deployment and testing.

08. PYTHON For System Administrators
  1. Introduction to Python
    Understanding the need for Python
    Why is Python the preferred language?
    Python 2 vs Python 3
    Strings and string manipulation in Python
    Python lists and how to use them
    Python dictionaries and how to use them
    Data integrity using Tuples in Python
    Python comparison operators
    Basic Python Fundamentals
    For Loops in Python
    While Loops in Python
    Which loop to use when?
    If, Else & Elif in Python
    List Comprehension for advanced lists understanding
    Using Python methods
    Understanding and creating your own functions
    Error and Exception Handling
    Object Oriented Programming in Python
    Python Decorators
    User Input in Python

    File Input & Output in Python
    Reading files using Python
    Writing and appending to files via Python
    Downloading files via Python
    Reading CSV files in Python
    Manipulating CSV files using Python
    Reading JSON files using Python
    Manipulating JSON files using Python
    Working with PDFs and Images using Python
    Using Regular Expressions to find data in log files
    Redirecting Regular Expression outputs
    Listing files using Python
    Finding files using Python
    Reading & Extracting ZIP files
    Reading & Extracting TAR files
    OS Module in Python
    Performing basic Operating System tasks via Python
    Managing files & directories using OS.PATH
    Walking directory tree structures using OS.WALK
    Requests Module in Python
    Making HTTP GET requests via Python
    Making HTTP PUT requests via Python
    Manipulating output by HTTP status codes

    Argument Parser in Python
    Need of robust Python + Linux CLI
    Creating interactive CLI - 1
    Creating interactive CLI - 2
    Networking in Python
    Running remote commands using Python & SSH via Paramiko
    Working with Python & FTP Servers
    Copying files between servers using Python
    Using Python Fabric Module for easy interaction
    Security in Python
    Port Scanning a server using Python
    Banner grabbing available ports using Python
    Capturing transmitting packets through Python
    Creating a TCP Server using Python
    Python integration with AWS
    Why integrate Python with AWS?
    Creating an AWS SSH Key
    Creating AWS instances with Python
    Listing AWS instances with Python
    Stopping & Terminating instances
    Modifying AWS Instances via Python
    Downloading files from S3 Buckets
    Uploading files to S3 Buckets

    Python virtual environments
    Why create Python virtual environments?
    Using Pipenv to source Python virtual environments
    Multithreading vs Multiprocessing in Python
    What is multithreading?
    When to use multithreading?
    Multithreading in Python Requests
    Multithreading and checking Linux PIDS
    What is multiprocessing?
    When to use multiprocessing?
    Multiprocessing in Python Requests
    Multiprocessing and checking Linux PIDS


09. Grafana Monitoring
  1. Introduction to Grafana, Installing Grafana on Linux.
  2. Installing Grafana on Docker.
  3. Grafana User Interface Overview.
  4. Creating Grafana dashboards.
  5. Monitoring URLs using Grafana.
  6. Monitoring Docker containers using Grafana.
  7. Monitoring Kubernetes clusters using Grafana.
  8. Installing plugins for advanced visualizations.
  9. Managing Grafana permissions using Role-Based Access Control.
  10. Embedding Grafana panels on HTML websites.
  11. Upgrading Grafana versions.
10. DevOps Open Practices
  1. Getting started with DevOps culture and practices.
  2. Introducing the Open Practice Library.
  3. Visualizing work.
  4. Facilitating practices with teams.
  5. Fostering culture and collaboration.
  6. Team forming and ice breakers.
  7. Social contracts. Conducting retrospectives.
  8. Establishing fundamental technical practices.
  9. Continuous integration and delivery.
  10. Everything as code, Security automation.
  11. The big picture, Driving team alignment with discovery practices.
  12. Metrics-based process mapping.
  13. Target outcomes, Priority sliders.
  14. Setting direction with options pivot practices.
  15. Impact and effort prioritization.
  16. Value slicing, Delivering value with Agile methodologies.
  17. Agile ceremonies, Kanban.
11. Project 1 - Infrastructure Automation

Example company is using Cloud for one of their application hosting. The project uses modular components, multiple frameworks and want the components to be developed by different teams or by 3rd-party vendors.
The company’s goal is to deliver the product updates frequently to production with High quality & Reliability. They also want to accelerate software delivery speed, quality and reduce feedback time between developers and testers. As development progressed, they are facing multiple problems, because of various technologies involved in the project. Some of the challenges are:

1. Building Complex builds is difficult
2. Incremental builds are difficult to manage, and deploy
3. Creating infrastructure on AWS manually is time consuming and prone to errors
4. Creating kubernetes cluster on AWS manually is taking time and more resources
5. Code created/modified by one team member is not visible to other team members
6. There must be a graphical interface to measure performance of application / cluster

12. Project 2 - Application Automation

Now, once Example company's infrastructure is setup on cloud. They want to sell their products online. Company wants a solution that can reduce the time and effort it needs to enhance its website functionality on a regular basis. They are looking for an automated way to deploy the new code (for new features) to the production website whenever they want.

Linux Basics to Advanced

Getting started with Red Hat Enterprise Linux, Access, Manage files from the command line, Get help in Red Hat Enterprise Linux, Create, view & edit text files, Manage local users & groups, Control access to files,Monitor & manage Linux processes,Control services & daemons,Configure & secure SSH,Analyze & store logs,Manage networking, Archive & transfer files,Install & update software, Access Linux files systems, Improving command line productivity using shell scripts,Schedule future tasks,Tune system performance,Control access to files with Access Control Lists, Manage SELinux security, Maintain basic storage,Manage logical volumes,Implement advanced storage features like vdo & stratis,Access network-attached storage, Control the boot process, Manage network security using firewalld, Install Red Hat Enterprise Linux, Run Containers.

Anisible Linux Automation

Introduction to Ansible, Using Ansible ad-hoc commands,Writing an Ansible Playbook, Simple webserver deployment via Ansible, Using Ansible variables and facts, Iterating tasks using an Ansible loop, Managing tasks using Ansible conditions, Handling errors in Ansible, Handling task execution using Handlers, Connecting Ansible to AWS for dynamic provisioning, Introduction to jinja2 in Ansible, Advanced jinja2 concepts for dynamic content delivery, Managing multiple playbooks and complexity, Creating Ansible roles, Loadbalancer configuration deployment via Ansible,Using Ansible Galaxy for roles,SSH hardening via Ansible,Common use cases for Ansible modules, Ansible-lint and industry standards, Working with Ansible collections.

AWS Amazon Cloud

Cloud computing - concepts, benefits, models, Elastic compute cloud, Elastic block storage, EBS volumes & snapshots, AMI types - EBS vs Instance store, ENI vs ENA vs EFA, Types of instances, Cloudwatch, Identity and Access Management, Object Storage - S3, S3 pricing tiers, S3 security, S3 versioning, S3 performance, CloudFront, Snowball, Storage gateway, Databases on AWS, RDS backup, multi-az & read replicas, Database migration service (DMS), EMR overview, Advanced IAM, IAM policies, AWS Single Sign-on, Route53, DNS, Virtual Private Cloud, Elastic Load Balancers, Auto Scaling, HA architecture, Elastic beanstalk, On-premises strategies with AWS, Simple workflow service, Simple notification service, Introduction to Lambda, Elastic container service (ECS)

Terraform Cloud Automation

Introduction to IAC - Infrastructure as Code, Introduction to Terraform, Working with Terraform CLI, Exploring Terraform commands, Terraform modules, Terraform workflow, Planning & Writing in Terraform, Terraform Create & Destroy, Terraform state on a local backend, Terraform state on S3 buckets, Terraform refresh, Terraform authentication methods, Variables, Available configurations in Terraform, Functions in Terraform, Enterprise Terraform - Terraform Cloud, Terraform Sentinel.

Docker Containerization

Introduction to Containers and Containerization, Introduction to Docker, Setting up a Docker node - On-premise & Cloud, Installing Docker, Docker Architecture, Engine, Images & Containers, Hub, Introduction to Docker commands, Creating Docker containers, Exposing container ports, Limiting resource utilization by containers, Docker logging, Networking in Docker environments, Introduction to Dockerfile, Creating Dockerfiles from scratch, Docker image history, Inspecting container processes, Docker events, Automating container deployments, Introduction to Docker compose, Docker compose CLI, Creating Docker compose files, Introduction to Docker Swarm, Running Docker in swarm mode, Working with Docker security, Docker content trust, Working with secrets in Docker.

KUBERNETES Container Orchestration

Kubernetes ETCD, Kube-API Server, Controller Manager in Kubernetes, Scheduler, Kubelet & Kubeproxy, Kubernetes pods, Replica sets & Deployments, Service Cluster IP, Manual scheduling in Kubernetes, Labels & Selectors, Resource requirements & Limits, Daemon sets, Static pods, Multiple Schedulers, Monitor Cluster Components, Managing Application logs, Rolling updates & Rollbacks, Scale applications in Kubernetes, Multi-container pods, Design pattern for pods,Init-containers, Self healing applications, Upgrading Kubernetes clusters, Kubernetes software versions, Backup and Restore Clusters.

GIT Source Control

Introduction to continuous integration and continuous deployment (CI/CD), Describe the principles of DevOps and the role of Jenkins., Integrate source code with version control, Manage source code changes with Git version control., Test applications, Describe the foundational principles behind comprehensive application testing, implement unit, integration, and functional  testing, Build applications with test-driven development, Implement and build application features with TDD.

JENKINS Pipelines

Author pipelines, Create basic pipelines to run Jenkins jobs., Deploy applications with pipelines, Safely and automatically deploy applications to Red Hat OpenShift Container P, Implement pipeline security and monitoring, Manage the security and monitor the performance of pipelines., Consume pipelines , Work with and troubleshoot CI/CD pipelines for automated deployment and a testing.

Grafana Monitoring

Introduction to Grafana, Installing Grafana on Linux, Installing Grafana on Docker, Grafana User Interface Overview, Creating Grafana dashboards, Monitoring URLs using Grafana, Monitoring Docker containers using Grafana, Monitoring Kubernetes clusters using Grafana, Installing plugins for advanced visualizations, Managing Grafana permissions using Role-Based Access Control, Embedding Grafana panels on HTML websites, Upgrading Grafana versions.

DevOps Open Practices

Getting started with DevOps culture and practices, Introducing the Open Practice Library, Visualizing work, Facilitating practices with teams, Fostering culture and collaboration, Team forming and ice breakers, Social contracts, Conducting retrospectives, Establishing fundamental technical practices, Continuous integration and delivery, Everything as code, Security automation, The big picture, Driving team alignment with discovery practices, Metrics-based process mapping, Target outcomes, Priority sliders, Setting direction with options pivot practices, Impact and effort prioritization, Value slicing, Delivering value with Agile methodologies, Agile ceremonies, Kanban.

Why Network Nuts?


Best Training Partner

Best Red Hat Certified Training Certification Partner in North India for 14 Years. We provide training and certification on Red Hat Linux, AWS, Microsoft Azure, Python automation, Kubernetes, Openshift, DevOps, Ethical Hacking & more.

Top Notch Training

Network Nuts believes in providing the best service possible to our students. We provide them with the training and all the necessary resources that they need to excel in the industry.

Learn from industry experts

A reliable and professional team at Network Nuts takes a step-by-step approach to teaching their students Red Hat Linux, Cloud Computing, DevOps technologies. 

Learn the practical way

Our sessions are designed to be practical and we include plenty of lab exercises to make sure that the students are well versed with the tools that they will be using. 

You are not alone

 Helping Our Students to gain the skills to sit for the certification and build a fulfilling their career in the current tech space. We're here for you, form beginning to end, every step of the way!

To become an Expert, Learn from the Expert.

Alok Srivastava, Head Trainer

With 18+ years of experience on Red Hat Technologies, Cloud Computing, Containerisation and Linux. Alok Srivastava is one of the most known Linux trainers in India. You will often see him providing technological consultancy and trainings to top MNCs across Asia Pacific in countries like India, Australia, New Zealand and Singapore. He is a Red Hat Certified Instructor and a Red Hat Certified Architect. Alok's knowledge across Linux is unmatched with his students having a 100% success rate in obtaining their Certifications.

Our Proud DevOps Students Happy Voice...

Had a great learning experience with Network Nuts. Enrolled for RHCSA and Devops batch. Thanks to Alok sir for making the classes interactive and enjoyable.

Vineet Kumar

Nice training institute regarding Linux,Devops and AWS. Had learnt a lot in Linux. Good platform to learn cloud from here. I have taught Linux from Alok sir. He is an awesome faculty.:)

Maneesh Bahukhandi

Highly recommended Devops Training. The facility is great with laptops available to practice. Special thanks to Sachin, Jay and Alok Sir for guiding throughout the training. Successfully got placed in Devops role with Network Nuts.

Arnav Srivatsava

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