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DevOps with Artificial Intelligence (AI) (223003027)

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About the course

A DevOps engineer is an information technology (IT) professional who works with software developers, system operators (SysOps) and other production IT staff to oversee code releases.

The role calls for someone who has the necessary hard and soft skills that are required to overcome the traditional barriers between software development, testing and operations teams.

Employment opportunities

Programme

  • 1 theme
  • 2 theme
  • 3 theme
  • 4 theme
  • 5 theme
  • 6 theme
  • 7 theme
  • 8 theme
  • 9 theme
  • 10 theme
  • 11 theme
  • 12 theme
  • 13 theme
  • 14 theme
  • 15 theme
  • 16 theme
  • 17 theme
  • 18 theme

Documentation writing 4 hours

Requirements for technical documentation

Intro to Linux OS 16 hours

  • Getting to know Linux
  • Basic Linux commands
  • Installing Linux packages
  • Learn how to check system resources in Linux
  • Users and Permissions
  • SSH
  • Cronjobs
  • Filesystems
  • Regex
  • Installing and configuring applications
  • Troubleshooting applications issues
  • Tracing errors and logs
  • Setup and configure your first services

Containers 24 hours

  • What is Docker?
  • Basic Docker commands
  • Running first container (Linux container to use in the future to learn Linux and bash scripting)
  • Connecting to container
  • Docker volumes mounting and usage
  • Docker network and ports
  • Docker environment variables
  • Docker security
  • Dockerfile writing: Getting to know basic Dockerfile commands; Best practices for writing Dockerfile; Getting to know best practices how to use multi-stage image builds; Getting to know best practices on how to use multi-stage image builds
  • Docker image building
  • Get familiar with Docker Compose: How to run docker-compose; Learn Docker compose file syntax; Learn how to write Docker compose file: Variables; Services; Logging; Volumes and mount points; Network; Secrets
  • Running your first multi containers stack with docker-compose

Bash scripting 12 hours

  • Introduction to Bash scripting
  • Getting familiar how to write bash scripts: Syntax; Variables; If/else conditions; Cycles while/for; Functions
  • Writing your own bash scripts

Databases 4 hours

  • Get familiar with basic SQL commands
  • Get familiar with different databases
  • Learn how to troubleshoot DB issues

Code versioning 4 hours

  • What is Git?
  • Basic git commands
  • Best practices of code versioning
  • Setup GitHub/GitLab connection
  • Learn how to create repo and push code to it
  • Feature branches and code merging

Python programming 40 hours

  • First look into Python
  • Variables
  • Conditions
  • Loops
  • Functions
  • Python modules
  • Writing your own modules
  • Classes
  • Virtual environments
  • Databases with Python
  • Decorators
  • Unit Tests
  • Flask

Cloud Infrastructure 24 hours

  • What is Cloud and how to use it?
  • Creating Free tier cloud account (AWS/Azure/GCP)
  • Get familiar with the cloud dashboard
  • Intro into: EC2; RDS; SG; ALB; NLB; ECS; IAM
  • Get familiar with Cloud CLI

Intro into JSON 4 hours

Intro into JSON

Writing your own JSON code

Intro into YAML 4 hours

  • Intro into YAML
  • Writing your own YAML code

Intro to APIs 4 hours

  • What is API
  • What is RESTful API
  • How to work with APIs
  • How to use Postman

Intro to Serverless 8 hours

  • What is Serverless
  • AWS Serverless
  • Writing your first serverless services

Intro into configuration management 8 hours

  • Intro into Ansible
  • Getting to know how to use public modules
  • Writing your first roles/playbooks
  • Learning how infrastructure variables works

Infrastructure as a Code 28 hours

  • Theory about IaaC
  • Introduction to Terraform
  • Terraform modules
  • Terraform resources writing
  • Terraform variables
  • Writing your own root and child modules
  • Working with terraform state
  • Writing terraform code to create instance and DB and launching some kind of application (WordPress for example) by using user data and Ansible

Go Lang 40 hours

  • First look into Go
  • Variables
  • Conditions
  • Slices and Loops
  • Functions and return types
  • Custom types declarations
  • OO Approach vs Go Approach
  • Receiver Functions
  • Byte Slices
  • Error Handling
  • Testing
  • Structs
  • Pointers
  • Maps
  • Interfaces
  • Channels and Go Routines

First look into Go Variables Conditions Slices and Loops Functions and return types Custom types declarations OO Approach vs Go Approach Receiver Functions Byte Slices Error Handling Testing Structs Pointers Maps Interfaces Channels and Go Routines 40 hours

  • What is containers orchestrators
  • What is Kubernetes
  • kubectl CLI
  • Basic commands of kubectl
  • Launching your own minikube
  • Kubernetes deployment basics
  • Kubernetes resources
  • Auto Scaling
  • Creating your own Kubernetes cluster

Kubernetes Deployments and Helm 24 hours

  • What is Helm
  • Helm deployments
  • Environment variables
  • Writing your helm deployments for minikube
  • Writing Helm deployments to deploy your app to Kubernetes

Monitoring and Logging 12 hours

  • Learning importance of Monitoring and Logging
  • Getting familiar with monitoring and logging tools and solutions
  • Setup monitoring and logging solution for Kubernetes – Loki Stack

Release Management and Release process 20 hours

  • Basic understanding of what is CI/CD pipelines
  • Deployment Strategies
  • Intro info GitHub Actions
  • Setting up CI/CD pipeline to run some tests on code push
    • Lint
    • Setup your repository to prevent merging code until all test cases passes
  • Setup CI/CD pipeline to build your code:
    • Building your artifacts
    • Storing your artifacts
  • Create CI/CD pipeline to build Docker image with your code
  • Prepare Helm file for deployment to EKS
  • Setting up logging and monitoring of your infrastructure and applications
  • Deploying your new code into EKS or minikube
  • Setting up health checks to see if everything working after deploying

Soft skills 16 hours

  • CV and Linkedln
  • Job interview simulation
  • Individual activity and fees
  • IT specialist competencies

AI basics 8 hours

  • Information search with AI
  • Answers generation with AI
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Lecturers

Our team of lecturers is a mixture of different IT specialists. Some, like superheroes 🦸, take Top positions in their companies during the day and respond to student calls in the evenings, while others work as freelancers, juggling between clients and students on a daily basis. But they are all 100% ready with the knowledge and experience to help you!🧑‍🎓

Tadas Narbutas

Payment options

We offer so many different payout options and benefits that we have created a fee calculator for you to calculate your abilities yourself - just like in a bank. 💸

CodeAcademy Financing

  • Pay by installments – 50 €/month

100% UZT funding

  • Funding from the Employment Service allows retraining for those working and acquiring new competencies for those not working! 🚀
  • Extracurricular scholarships can be awarded to studying students.

Pay when you get employed!

  • Monthly fee – 10% of Net income, with the possibility of a payment holiday of up to 5 months.

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Frequently asked questions

Yes! We invite you to contact us by email [email protected]  

For open job positions, you can inquire by email [email protected]. We will be happy to direct you to companies that are looking for specialists. *After receiving an offer, we cannot 100% guarantee that the company will hire you, as it very much depends on how you will represent yourself during the job interview.   

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