СS411
AI Assisted DevOps
Faculty
Maksym Prokopov
Senior Site Reliability Manager at Billie.io
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
The DevOps and SRE Specialisation equips participants to navigate the growing complexity of modern software delivery.
The course emphasises practical, real-world applications of DevOps principles while addressing the challenges of building, deploying, and maintaining reliable systems.
Through hands-on experience with industry-standard tools and workflows, participants will develop the technical expertise and problem-solving skills needed to support and optimise modern development pipelines.
Learning highlights
- Understand how CI/CD pipelines work and implement all typical stages (build, test, deploy).
- Design and build your own automated build and deployment pipelines from scratch.
- Develop a deep, practical understanding of Docker, including image creation, networking, and container orchestration.
- Apply Kubernetes core concepts and use Helm charts to deploy and manage applications at scale.
- Explore modern cloud platforms with AWS as an example, and learn how to interact with cloud services programmatically through APIs.
- Use Infrastructure as Code (IaC) tools and principles to automate provisioning and configuration.
- Implement observability practices with Prometheus, Grafana, and related tools to monitor, analyse, and optimise application performance.
- Leverage GitHub Actions and similar tools to streamline and automate the software delivery process.
Course outline
15 classes
Session 1
Introduction to the DevOps and Site Reliability Engineering
Session 2
The builds and artifacts, CI/CD
Session 3
Introduction to deployment tools
Session 4
Introduction to Docker
Session 5
Docker deep dive
Session 6
Deep dive into testing
Session 7
The runtime environments introduction
Session 8
Kubernetes introduction
Session 9
Kubernetes deep dive
Session 10
The Kubernetes ecosystem
Session 11
Cloud Platforms, Serverless
Session 12
Cloud Platforms, AWS
Session 13
Observability
Session 14
GitHub Actions
Session 15
Wrap-up and exam
Prerequisites
Moderate skills in Linux OS and shell, Networking.
Methodology
Lectures – Conceptual overviews and deep dives into core DevOps practices and tools.
Hands-on Labs – Guided, practical exercises simulating real-world DevOps workflows.
Home Assignments – Independent tasks reinforcing skills and encouraging problem-solving beyond the classroom.
Capstone Project / Final Exam – Comprehensive evaluation through a real-world project or exam to assess applied knowledge and skills.
Grading
Maksym is an experienced tech lead developer and Staff Site Reliability Engineer spent many years creating solutions from scratch to the production. Possesses the skill of explaining complex things in a simple way.
He believes everyone with passion eventually becomes a professional.
See full profileApply for this course
AI Assisted DevOps
by Maksym Prokopov
Total hours
45 Hours
Dates
May 18 - Jun 05, 2026
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.