Advanced Multi-Project
DevOps Accelerator For Jobs
(Internship Available)

By the end of this advanced multi-project accelerator course, learners will be able to design, implement, and manage complex DevOps architectures in real-world applications. Let your expert portfolio do the speaking in your next DevOps interview. 

  • Learn with live instructors
    Learn with live instructors

    No pre‑recorded content

  • Project based learning
    Project based learning

    Build an impressive portfolio

  • Job assistance provided
    Job assistance provided

    Add-on: Work 1-on-1 with a career coach

Start Learning

  • Program Cost

    From: $600 (Discounted)

  • Bootcamp length

    8 Weeks

  • Bootcamp start date

    January 2024

  • Enroll now

A Simple "Hello World" Project won't get you a job

As a DevOps engineer, you are expected to already have experience by way of a job or a rich portfolio of projects. If you are struggling to land a DevOps job (despite answering all the right answers in interviews), the lack of a robust project portfolio is what is keeping you from landing your dream job. Let's dive deep and make you a DevOps rockstar.

What you'll learn

  • Build highly complex CI/CD pieplines
  • Confidence in your DevOps skills
  • How to stand out and crack DevOps interviews
  • End-to-end full stack DevOps projects
  • A problem solving mindset and team spirit
  • Project management with automation
  • Highly advanced automation projects
Show more

Project Curriculum

  • DevOps Curriculum

    1. Fork the main branch from Ansible
    2. Create a multi-branch pipeline in Jenkins
    in your folder: Name: ansible-tomcat-
    install-deploy
    a. Spin 2 AWS VMs (one for prod and
    one for Dev) using ssh key
    b. Create a pipeline to configure the
    above VMs with Tomcat
    c. Deploy hello-maven code to both
    the VM (s)

  • 1. Obtain the Sample Application
    2. Create an Nginx conf file for the Server Block
    3. Set up the Ansible-playbook on the Control Node
    a. necessary packages like Nginx will be installed
    b. Application files will be copied
    c. The Custom Nginx conf file will be applied and enabled
    d. Open Port 80 on UFW
    e. Set up handlers for the Nginx service
    4. Run the Playbook and use the server hostname or IP to access the Application.

  • 1. Build and Test the Application Locally using Maven
    2. Create Settings.xml in JFROG
    3. Transfer the deploy distribution management from JFROG onto pom.xml
    4. Create a Jenkinsfile for the CI/CD
    5. Implement Static code analysis utilizing SonarQube
    5. Run your Jenkins Pipeline Job and send artifacts to JFROG Artifactory.

  • 1. Explain Architecture
    2. Create a remote host/hosts
    3. Create a remote user with sudo privileges
    3. install ansible on control node
    4. Set up Ansible Playbook and create the plays, tasks
    5. Run the Playbook
    6. Navigate to browser and check the application

  • 1. Explain the Architecture
    2. Create Yaml Manifest files for the Stack
    3. Create a Kubernetes Cluster (local/cloud)
    4. Deploy the application and its services onto the Cluster
    5) Perform Deployment, nodes, pods, services management using kubectl
    6) Test the application stack
    7) Clean up

  • 1. install Node JS
    2. Initialise Application
    3. Install Dependencies
    4. Create an application file
    5. Test the Application Locally.
    6. Dockerize Application (Create Dockerfile --production)
    7. Build and Push Image to a Docker Registry (e.g ECR, Dockerhub, DOCR)
    8. Create a Kubernetes Manifest file for the Application
    9. Create a Kubernetes Cluster (Cloud or locally)
    10. Deploy the Application onto the Kubernetes Cluster
    11) Test your deployed Application

  • 1. setup
    2. clone application to the terminal
    3. build the application using Maven,
    4. Test the application locally
    5. Dockerise each application stack
    6. deploy the images to a public registry
    7. Create a Cluster
    8. Create a deployment and service manifest files for each service
    9. Deploy the Microservice onto the Kubernetes cluster and test the Application.

  • 1. setup
    2. clone application to local and test the application
    3. Dockerize the Application
    4. Create a Jenkinsfile for automating the build of the Python Image
    5. Create a Pipeline Job in Jenkins
    6. push the built image to amazon ECR
    7. Create ECS cluster
    8. Create task definition and Run Task
    9. Test Application on Browser

  • 1. Explain The Microservice architecture
    2. Clone application to Local Terminal
    3. Create Kubernetes Cluster in any environment of choice
    4. Deploy microservice manifest files unto Kubernetes Cluster
    5. Perform Deployment, nodes, pods, services management using kubectl
    6. Access your microservice on your browser.

  • 1. Explain the concept and Workflow
    2. Have a ready domain either on aws or a different domain registry
    2. Hands-on demo

  • 1. Explain the Architecture
    2. Test Application Locally
    3. Set up Production Server
    4. Push Application to Git
    5. Clone Application onto Production Server
    6. Set up Nginx web server and set up server block configurations
    6. Run the Application after configuring the environment.

  • 1. Explain Architecture (Docker, Mongo Atlas, AWS)
    2. Test Application Locally
    3. Dockerize the Application
    4. Set up Production Server (Install Node, NPM, etc)
    5. Push Application to Git
    6. Clone Application onto Production Server
    7. Set up compose file stack for the services
    8. Run Application

  • 1. Explain Architecture
    2. Test Application Locally
    3. Dockerize the Application
    4. Create a Kubernetes Cluster
    5. Create Manifest files for the Services
    6. Deploy application onto Kubernetes Cluster
    7. Run Application

  • 1. Explain Architecture
    2. Test Application Locally
    3. Dockerize the Application
    4. Create a Kubernetes Cluster
    5. Create Manifest files for the Services
    6. Deploy application onto Kubernetes Cluster
    7. Set Atlas Operator
    8. Deploy Custom resource definitions
    7. Run Application

  • 1. Explain Architecture
    2. Dockerize the Application
    3. Create Manifest files for the Services
    4. Create a helm file and deploy your application using Helm
    5. Configure your config files or services using Kustomize
    6. Deploy application onto Kubernetes Cluster
    7. Run Application

  • 1. Explain Architecture
    2. Dockerize Node application
    3. Create a stack of the application using compose
    4. Bring up application and test
    5. Bring down application
    5. Create Deployments and Service manifests
    6. Deploy Kubernetes Cluster using Terraform
    7. Deploy application onto Cluster
    8. Run application and Destroy resources

  • 1. Explain Architecture
    2. Set up IAM Authentication and configure AWS CLI
    3. Test application Locally
    4. Dockerize Application
    5. Create tf config files to provision your network and security resources (VPC,Subnets,ALB, SGs)
    6. Create tf config files to Provision your deployment environment (ECR, ECS (EC2 or Fargate), Task Def, Task or Services)
    7. Create Jenkinsfile for your application
    8. Push code to Github
    9. Create a Pipeline Job and Build the Job
    10. Check Created Resources
    11. Test Application
    12. Destroy Architecture

  • 1. Explain Architecture
    2. Get application To Development Server
    3. Bring up Application and Test Locally
    4. Containerized The Application and serve it with a web server
    5. Push the Containerized Application to a Docker Registry
    6. Push Application to Kubernetes Cluster
    7. Run Application
    8. Clean up

  • 1. Explain the workflow
    2. Set up Permissions and integration
    3. Create config manifest files for the infrastructures to Provisioned
    4. Get needed Plugins and manage toos configuration
    5. Create a Jenkinsfile
    6. Push Resources To Public Repo
    7. Create a Pipeline Job and Run it
    8. Confirm Provisioned Resources
    9. Use Jenkins to Automate Destroying the entire infrastructure

  • 1. Explain workflow
    2. Create Helm template for the application
    3. Create Kubernetes Cluster
    4. Use Helm and Deploy the Application
    5. use Helm to deploy ingress-controller onto the Cluster.
    6. Deploy Ingress resources
    7. Deploy Cert-manager and Configure tls/ssl for Ingress using Let's enscrypt
    8. Test application using your secured dns

  • 1. Explain workflow
    2. Set up
    3. Transfer source code to Local Machine
    4. Create a zip artifact
    5. Create S3 bucket for uploading the input files for build artifact
    6. Create a new Build Project for Deployment
    7. Build your Project

  • 1. Explain workflow
    2. Set up
    3. Transfer source code to workspace
    4. Give an overview of the stack
    5. bring up the stack of applications
    6. Test and demo the application stack
    7. Bring down Application

  • 1. Explain Architecture
    2. Set up IAM Authentication and configure AWS CLI
    3. Test application Locally
    4. Dockerize Application
    5. Create tf config files to Provision your deployment environment (ECR, EKS,VPC,SUBNETS,SG etc )
    6. Create Jenkinsfile for you application
    7. Push code to Github
    8. Create a Pipeline Job and Build the Job
    9. Check Created Resources
    10. Test Application
    11. Destroy Architecture

  • 1. Explain workflow
    2. Application source code walkthrough
    3. Set up ECR repo
    4. Build resume image
    5. Push image to ECR
    6. Create Cluster using CloudFormation Template or Terraform
    7. Deploy Application onto ECS Cluster
    8. Run Application
    9. Bring down Infrastructure

  • 1. Explain Gitops workflow
    2. Application and configuration code walk through (Two Repositories)
    3. Set up workspace
    4. Set up Tokens for Jenkins authentication with Github and Dockerhub
    5. Create a Jenkins Build job that will trigger The Manifest update Job
    6. Create a second Jenkins Build job to update the deployment manifest file
    7. Create your Kubernetes Cluster
    8. Run the Jenkins Build Job, This will also trigger the Manifest update job
    9. Set up Argocd, by installing and Deploying ARGOCD manifest files onto your Kubernetes Cluster
    10. Authenticate and Login onto Argocd UI
    11. Deploy your Application from the ARGOCD UI or CLI
    12. Set up Github webhook connection with Jenkins and update the application to start end-to-end automated deployment of your application, No Human Touch !!!
    13. Deploy Monitoring and Visualization tools unto your Cluster (Prometheus and Grafana)
    14. Bring down infrastructure

  • 1. Project Overview
    2. Application source code walkthrough
    3. convert k8s manifest files to helm
    4. Kustomize set up
    5. Set up Kubernetes Cluster
    6. Set up Jenkins Pipeline to build and Push your Python flask Image to a registry
    7. Install Argocd
    8. Deploy your Python Flask Application using HELM
    9. Deploy your Python Flask Application using KUSTOMIZE
    10. Bring down infrastructure

  • 1. Get application To Development Server
    2. Bring up the Application and Test Locally
    3. Containerized The Application and serve it with a web server (nginx)
    4. Push the Containerized Application to a Docker Registry
    5. Create a deployment and service files for the webapp
    6. Push Application to Git
    7. Set up deployment Cluster
    8. install Argocd on Machine and on Cluster
    9. Deploy the Application to Kubernetes Cluster via argo cli or ui
    10. Run Application
    11. Clean up

  • 1. Explain app Architecture
    2. set up Prod Server
    3. Get application stack source code to Prod Server
    4. Set up Apache Web server
    5. Set up Mysql Database
    6. Connect application with Mysql
    7. Configure application with Apache
    8. Test the multi-tier application set up
    9. Clean up

  • 1. Explain set up
    2. Clone source code to working environment
    3. Test application Locally
    4. Demo working of the Application
    5. Containerize the Application and push to the registry
    6. Deploy a Cluster
    7. Create Kubernetes objects for the stack
    8. Deploy your Containerised application onto the Cluster
    9. Test and demo the working of your Application.
    10. Clean up

  • 1. Explain app architecture
    2. clone Application to workspace
    3. connect application to Mongo DB atlas, set up all environments
    4. Test Application locally
    5. Create Dockerfiles for the app stack (API, ADMIN, CLIENT)
    6. Build the images and push to ECR or Dockerhub
    7. Set up Production deployment environment by Creating a Kubernetes Cluster
    8. Create Kubernetes objects/manifests for the stack
    9. Deploy the application to Production Cluster
    10. Test the Application for proper working
    11. recap
    12. Bring down infrastructure

  • 1. Explain app architecture
    2. clone Application to workspace
    3. connect application to Mongo DB atlas, set up all environments
    4. Test Application locally
    5. Create Dockerfiles for the app stack (API, CLIENT)
    6. Build the images and push to ECR or Dockerhub
    7. Set up Production deployment environment by Creating a Kubernetes Cluster
    8. Create Kubernetes objects/manifests for the stack
    9. Deploy the application to Production Cluster
    10. Test the Application for proper working
    11. recap
    12. Bring down infrastructure

Why become a DevOps Engineer?

DevOps is the most in-demand job title

The need for qualified software engineers is soaring. Indeed, an industry-led market studies conducted over the past few years consistently reach the same conclusion: DevOps engineer is the most in-demand IT role at digitally-enabled companies.

Flexibility and enhanced benefits

The rewards for DevOps Engineers in terms of flexibility and remuneration are among the most lucrative in IT.

High salary for DevOps jobs

Per BuiltIn, The average salary for a DevOps Engineer in US is $133,017. The average additional cash compensation for a DevOps Engineer in US is $16,929. The average total compensation for a DevOps Engineer in US is $149,946. DevOps Engineer salaries are based on responses gathered by Built In from anonymous DevOps Engineer employees in US.

Show More

  • CI/CD

  • Containers

  • Version Control

  • Cloud - Iaas

  • Container Orchestration

  • Build Tools

  • Build Tools

  • Configuration Management

  • Artifactory Management

  • Monitoring

Avg. salary of a DevOps Engineer is around
$138,732 per annum

glassdoor

Where our talents work

Learn the skills that companies are looking for and land a job that you will love. At IBT, we are outcome driven. We train you for successful careers in tech. 

  • fourth logo small
  • Comcast
  • onecall
  • TI
  • Hunterfan

Outcomes

  • 85%

    interview within the first two weeks post graduation

  • 8%

    of our graduates accept offers the first two-three weeks after graduating

  • 4%

    Find employment before graduating

Landric N

IBT learning is an outstanding tech school with experienced teachers.
Its students graduate with good hands-on experience in management tools like
*git, maven, nexus, sonarqube, Ansible, Docker, for microservice deployment, Kubernetes for container orchestration, and Terraform as Iaac tool.

Landric N

IBT learning is an outstanding tech school with experienced teachers.
Its students graduate with good hands-on experience in management tools like
*git, maven, nexus, sonarqube, Ansible, Docker, for microservice deployment, Kubernetes for container orchestration, and Terraform as Iaac tool.

Landric N

IBT learning is an outstanding tech school with experienced teachers.
Its students graduate with good hands-on experience in management tools like
*git, maven, nexus, sonarqube, Ansible, Docker, for microservice deployment, Kubernetes for container orchestration, and Terraform as Iaac tool.

Not sure?
Talk to our advisors

Our program advisors will answer any questions you have about the Advanced Project-based DevOps Training for Jobs and what it’s like to learn with IBT Learning. 

    Tuition breakdown and Learning Path

    Without Internship

    Learn alongside other motivated students in a structured live cohort. No more than 50 students per cohort.

    • One-time

      Pay upfront and save on total cost

      $600

      $990

    • Monthly

      Break your payment into monthly cycles for a more flexible payment option

      $385

      per month / 3 months

      $1,155 in total payment
    Upcoming Start Date

    January 2024

    See Schedule of Classes

    With Guaranteed Internship

    New

    Get a guaranteed remote internship position  and help ship production code, gaining a real-world work experience

    • One-time

      Pay upfront and save on total cost

      $1,299

      $1,399

    • Monthly

      Break your payment into monthly cycles for a more flexible payment option

      $500

      per month / 3 months

      $1,500 in total payment
    Upcoming Start Date

    January 2024

    See Schedule of Classes
    Register
    seal

    Internship Guarantee:

    Get placed or get a refund

    If you don’t get a guaranteed internship after two-three months of completing our program
    we will refund 100% of your tuition. No questions asked! 

    The IBT advantage

    Personalized learning and support

    Learning focused on you. Get personal support from your support engineers and industry mentors. Learning a new skill can feel overwhelming sometimes, that’s why we take your hand and guide you every step of the way.

    Live Instructor-led learning

    Learn from industry leaders in real-time. We don't give you a bunch of videos to watch and have one weekly check-in with you. For career changers, live, instructor led-learning is the best way to learn

    World-class instructors

    We take pride in the quality of highly sought-after instructors at IBT Learning. Our up-to-date curriculum is designed and taught by the best-in-class IT professionals.

    Outcome oriented

    While many boot camps train you to acquire certifications, we are much more than that. We train you with a focus on your outcome.

    Frequently asked questions

    NO: This advanced hands-on training program is designed for those who already have had some level of DevOps training, either self-taught or boot camp graduates. We don't cover the Fundamentals, just high-level stuff. To break into DevOps without a tech background, you should register for our 6 months DevOps Industrial Training Program https://www.ibtlearning.co/courses/devops-engineer-industrial-training/Program

    Our DevOps Industrial Training program is mainly designed for students with little to no IT experience. We take them through the fundamentals of programming before getting them into DevOps. The Advanced program is strictly hands-on and project-based.

    The beginning
    of an exciting journey

    When you complete the form below. One of our enrollment officers will reach out to you within 12 hours to answer any questions you may have.