AI
AI-native program. We teach you how to apply AI in practice
70% of practice – learning
on real projects
A portfolio of projects
that employers will appreciate
Career support for successful employment
Who is a DevOps engineer?
A DevOps engineer is a specialist who ensures that applications launch quickly and run stably:
- configures servers and the cloud
- automates processes so that everything works without manual work
- ensures that the product does not fall and withstands the load
The main person responsible for ensuring that the product works reliably from development to launch.
What will you be able to do after the course?
Deploy and maintain infrastructure
Work with Linux, Docker and cloud environments, create environments for projects and ensure their stable operation.
Automate development processes
Configure CI/CD, work with containers, and use modern DevOps tools in real-world tasks.
Be prepared for a Junior DevOps position
Complete test tasks, understand the work processes of the IT team, and create a portfolio to start your career.
Who is the course suitable for:
For beginners and those who want to change their profession
If you are planning to start a career in IT or are transitioning from another field, this course will help you understand the basics of DevOps. You will learn how modern IT infrastructure works, how applications are deployed, and how workflows are automated in cloud environments.
For those who want to improve their qualifications
If you already work in IT, the course will help you deepen your knowledge of DevOps practices. You will learn how to build CI/CD processes, work with containerization, and effectively manage infrastructure for stable project operations.
Earnings will increase
along with experience
+14% According to DOU, salaries in the field are increasing every year
Junior
First commercial projects, portfolio, teamwork.
From $800+
middle
1–2 years of experience
Independent work on projects
From $2000+
Senior
3–4 years of experience
Complex cases, task management
From $4000+
AI as a working tool for a modern DevOps Engineer
Our program -
AI-native
While others only add a module on AI, we structure our training so that AI is a fundamental element of all areas.
We don't just teach technology - we adapt students to a reality where AI is already the standard of the profession.
Our students work with AI tools every day, integrating AI into all stages of work.
We teach them to think like specialists who can automate, optimize and accelerate work using modern technologies.
Real experience
and lots of practice
Gain expertise, just like in your first job. Learn on specific tasks and projects.
Practice on real tasks and projects
- Production-ready CI/CD setup: create and deploy automated pipelines for real-world applications.
- Orchestration and cloud solutions: work with containers (Docker/K8s), cloud providers, and automation tools (Terraform/Ansible).
- Scaling and optimization: configure the infrastructure according to the standards of modern IT product companies.
You are entering the market not as a beginner, but as an Early-middle level DevOps engineer.
Teacher assistance
You study under the guidance of practicing DevOps engineers who help you understand complex technical tasks and confidently move towards the profession.
Own learning platform
Lesson records, performance statistics, assignments and learning materials, support - everything you need for your convenient and effective learning.
Course program
DevOps Basics (Cisco DevNet Associate) 6 topics
- DevOps methodology
- DevOps toolkit overview
- AI technologies
- AI technologies for solving universal problems
- Orientation in development: Low-Code and No-Code platforms, Front-End and Back-End
- Cloud technologies and databases
Networking Fundamentals (Cisco CCNA) 6 topics
- OSI and TCP/IP models
- IP addressing, IPv4 and IPv6, masks
- Routing Basics
- NAT technology
- TCP and UDP protocols, ports
- How DNS works
Linux (Cisco NDG Linux Essentials) 10 topics
- Installation. Getting to know the CLI interface
- Working with files. Working with text files
- Boot process and daemons (services)
- File systems. Software installation
- Devices. Processes, threads/processes. Network capabilities overview. Users
- Access rights and quotas. Audit, processes, logs, cron
- Traffic filtering
- SSH settings
- Server resource monitoring
- Troubleshooting
Version control systems using Git 4 Topics
- Introduction to Git. Installation, initial setup
- Basic git commands
- Working with a remote repository
- Branching in Git. Working with branches
Basic Python (Netacad PCAP - Programming Essentials in Python) 4 Topics
- Python Programming Basics
- Branching operators, loops, exceptions
- Lines, lists
- Features.
Docker (Cisco DevNet Associate) 5 topics
- Docker Basics
- Docker setup
- Basics of working with Docker containers
- Networking in Docker
- Introducing Volumes in Docker
Puppet 5 topics
- Puppet Basics
- Puppet Architecture
- Installing Puppet - master JOIN
- Installing Puppet - agent
- Introduction to DSL - Domain Specific Language
40 topics
Results after the course:
Position
DevOps Engineer
Skills
- Apply the DevOps approach in real projects
- You work with networks (IPv4/IPv6, DNS, routing)
- You are confident using Linux (CLI, permissions, logs)
- Manage code versions with Git
- Automate processes with Python
- Work with Docker containers and Docker Compose
- Scale your infrastructure through Kubernetes
- Implement Infrastructure as Code (Ansible, Puppet)
- Configure monitoring (Prometheus, Grafana)
- Working with logs (ELK stack)
- You use cloud services (AWS, Azure, Google Cloud)
Tools
-
Docker
-
-
Puppet
-
GIT
Frequently Asked Questions
How do I know if the profession of DevOps engineer is right for me?
Sign up for a consultation where we will explain the profession in detail, answer your questions, and offer a trial lesson. You will be able to experience the learning format, complete your first assignments, and understand how interested you are in this field.
