DevOps Course

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DevOps Course

 

Completion: 6 Months

Welcome to our DevOps Course!

DevOps is the union of people, process, and products to enable continuous delivery of value to your end users. DevOps is a set of services that gives you the tools you need to do just that. With Azure/AWS DevOps, you can build, test, and deploy any application, either to the cloud or on premises. DevOps practices that enable transparency, cooperation, continuous delivery and continuous deployment become embedded in your software development lifecycle.

gradstarthub_devops course

More on Devops Engineering Course

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Why is Devops needed?

The software development process can be a highly manual process, resulting in a significant number of code errors. Development and operations teams can often be out of sync, which can slow software delivery and disappoint business stakeholders. DevOps creates efficiency across all tasks involved in the development, deployment, and maintenance of software.

Connecting development and operations leads to increased visibility, more accurate requirements, improved communication, and faster time to market.

About this course

This DevOps training course is outlined keeping in mind the latest developments in the industry. The course focuses on creating a strong base for various DevOps tools including Docker, Git, Ansible, Jenkins, Kubernetes, Prometheus and Grafana, and Terraform.

The training is completely hands-on and designed in a way that will help you in becoming a certified practitioner by providing you an intensified training for the best practices about Continuous Testing, Continuous Development, Configuration Management, Continuous Integration and Continuous Deployment and also Continuous Monitoring of the software throughout its development life cycle.

Pre-requisite

 

  • Knowledge of cloud computing
  • Knowledge of Scripting Language
  • Knowledge of Linux
  • Knowledge of python is not necessary but will be an added advantage

Azure Path

The Azure training and certification path consists of various levels, from foundational to expert. The levels are as follows:

  1. Foundational level – Microsoft Certified: Azure Fundamentals: This level is designed for individuals with little or no experience with Azure. It covers the basics of Azure, including cloud concepts, Azure services, and Azure pricing and support.
  2. Associate level – Microsoft Certified: Azure Administrator Associate, Microsoft Certified: Azure Developer Associate, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: Azure AI Engineer Associate: These levels are designed for individuals with some experience with Azure. They cover the deployment, management, and development of applications on Azure.
  3. Expert level – Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure DevOps Engineer Expert, Microsoft Certified: Azure Security Engineer Expert, Microsoft Certified: Azure AI Engineer Expert: These levels are designed for individuals with extensive experience with Azure. They cover advanced topics such as architecture design, deployment, and management, as well as specialized skills in specific areas of Azure.

AWS Path

AWS is the pioneer company in cloud technology, AWS has been at the forefront of revolutionizing the way we build, deploy and manage applications on the cloud. The cloud courses bundled with AWS are designed to help you develop the skills and knowledge necessary to harness the power of AWS and build scalable, reliable and cost-effective cloud-based solutions.

The AWS training path consists of various levels, from foundational to expert. The levels are as follows:

  1. Foundational level – AWS Certified Cloud Practitioner: This level is designed for individuals with little or no experience with AWS. It covers the basics of AWS, including the core services, security, and compliance.
  2. Associate level – AWS Certified Solutions Architect, AWS Certified Developer, AWS Certified SysOps Administrator: These levels are designed for individuals with some experience with AWS. They cover the design, development, and deployment of applications on AWS.
  3. Professional level – AWS Certified Solutions Architect Professional, AWS Certified DevOps Engineer Professional: These levels are designed for individuals with extensive experience with AWS. They cover advanced topics such as large-scale deployments, high availability, and disaster recovery.
  4. Specialty level – AWS Certified Security, AWS Certified Advanced Networking, AWS Certified Big Data, AWS Certified Machine Learning: These levels are designed for individuals with specialized skills in specific areas of AWS. They cover topics such as security, networking, big data, and machine learning.

To become certified, you must pass an exam for the respective level. AWS exams are multiple-choice and can be taken at a testing center or online.

Certifications

Recommended Certifications:

  • Fundamentals-level certifications: Perfect for non-technical people who want to get started in cloud computing and cloud professionals who are just beginning.
  • Associate-level certifications: Best suited for candidates who have a solid understanding of Azure’s basics.
  • Expert-level certifications: Ideal for people who have a strong background in the cloud, including associate-level certification and hands-on experience working with the cloud.

Azure:

  • AZ-204: -Microsoft Certified Azure Developer Associate
  • AZ-400: -Microsoft Certified DevOps Engineer Expert

AWS:

  • AWS Certified Cloud Practitioner- Foundation
  • AWS Certified SysOps Associate– Associate
  • AWS Certified DevOps Engineer  – Professional

Curriculum

The Devops curriculum includes but not limited to the following”

  • Azure & Cloud Fundamentals
  • Infrastructure setup
  • Introduction to DevOps
  • Continuous Testing
  • Continuous Integration using Jenkins
  • Software Version Control
  • Continuous Deployment: Containerization with Docker
  •  Containerization with Docker: Ecosystem and Networking
  • Configuration Management using Puppet
  • Configuration Management using Ansible
  • Continuous Orchestration using Kubernetes
  •  Continuous Monitoring using Nagios
  • Terraform Modules & Workspaces
  • Azure DevOps and Azure Repos
  • Azure Artifacts and Azure Test Plans
  • Azure Pipelines
  • Azure Boards
  • Terraform with Azure
  • Projects
startup-generative AI

Industry Projects

gradstart_webserver_using_docker

Web Server Using Docker: You will create a default base image for this project that other developers can use in their production environments.

gradstarthub_deploying_app_kubernetes

Deploying App Using Kubernetes:  You are going to use a simple web service which parses user messages and adds your message to a Server.

gradstarthub_version_control

Version Control System: You will setup  a Version Control System to keep track of your code, inspect versions, maintain different versions and share it.

gradstarthub_final_devops_project

Final Project: In this final capstone project, you will combine all of the new skills you’ve learned and developed in this course to design an approved project

APPLY FOR SCHOLARSHIP

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You can secure up to 75% scholarship if you satisfy most of the conditions below:

  • Must be Academically sound (2.1 or better)
  • Must be Super Creative
  • Have a great Idea that can turn to MVP
  • Have a great Minimum Viable Product
  • Proofs, you can’t afford the fees

Click the button below to Apply

 

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PAY AS YOU GO

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   N120,000.00/month

  • 1 Month Access on the go
  • Pause program at will
  • Apply for scholarship

 

 

 

 

Register for PAYG >>

 

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ONE TIME TUITION FEE

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N550,000.00

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  • 6 Months Full Access
  • Save an extra 15% vs. pay as you go
  • Pay upfront now and save an extra %

 

 

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