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Part-Time CourseDevOps & LLMOps Infrastructure Engineering
From cloud deployment to production AI systems over 10 weeks. This comprehensive part-time program combines DevOps fundamentals with LLMOps infrastructure engineering. Master the complete pipeline from deploying cloud applications with CI/CD to building production-ready AI systems with vector databases, monitoring, and operational intelligence.
Part-Time
weeks
On-site / Remote
English
Program overview
Our DevOps & LLMOps program takes you from cloud deployment to production AI systems over 10 weeks. In the first half, master Linux, Git, SQL, Django REST APIs, Docker, and CI/CD pipelines with GitLab. In the second half, dive into data science for LLMs, embeddings, vector databases, RAG architectures, FastAPI services, and monitoring with LangFuse and Prometheus. The program culminates in building operational intelligence systems that automate insights from logs and incidents. With live sessions and expert support, you'll gain hands-on experience throughout. Check the upcoming dates and join us!
Upcoming dates
Course dates
May 06 - Jul 11
Apply by
May 05
Tuition
5'500 CHF
Format
Remote
Course dates
Aug 05 - Oct 10
Apply by
Aug 04
Tuition
5'500 CHF
Format
Remote
Course dates
Oct 14 - Dec 19
Apply by
Oct 13
Tuition
5'500 CHF
Format
Remote
Schedule doesn't fit your needs?
Check out our remote options or the Full-Time program.
Looking for financing? Check out our financing options.
Schedule
- Wed
Remote
- 18.00 - 21.00Lecture
- Fri
Remote
- 18.00 - 21.00Practice
- Sat
Remote
- 09.00 - 12.00Lecture
- 13.00 - 16.00Practice
LectureLearn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.
PracticeWork on a set of interesting and challenging exercises related to the topics covered during the previous lecture. Practice your team-building skills by doing group projects together with your peers.
Laura Van Os
Full-Stack
❝The exceptional career services support from teachers/mentors led to my current employer reaching out shortly after completing the bootcamp. Highly recommended for aspiring developers!❞
Before: Store Clerk
After: Junior Frontend Developer at Headwire.com
What you will learn
Preparation
Python and Ops
- Python Fundamentals: Learn the basics of Python programming.
- Linux Fundamentals: Set up a Linux environment and navigate via the command line.
- Version Control: Master Git for code management and collaboration.
Week 1 - 2
Cloud Infrastructure & APIs
- Servers: Provision cloud servers, configure NGINX, and secure with HTTPS.
- Databases: Master SQL queries and connect databases to Python applications.
- Web APIs: Build REST APIs with Django and Django REST Framework.
- Security: Implement JWT authentication and connect React frontends.
- Containerization: Package applications with Docker for consistent deployment.
Week 3 - 5
CI/CD & Production Deployment
- Multi-Service Apps: Orchestrate containers with Docker Compose and PostgreSQL.
- CI/CD Pipelines: Set up GitLab CI for automated builds and testing.
- Production Deployment: Configure NGINX, Gunicorn, and HTTPS with Let's Encrypt.
- Operations: Monitor health, troubleshoot issues, and implement backups.
- Capstone: Deploy a complete application demonstrating DevOps skills.
Week 6 - 7
Data Science for LLM Systems
- Data Fundamentals: Work with Pandas for tables, text, and operational logs.
- Text Processing: Understand tokenization, distributions, and time-series data.
- Embeddings: Learn how AI captures meaning and build semantic search.
- ML to LLMs: Connect classical ML concepts to modern language models.
- Data Pipelines: Build reproducible pipelines for production AI systems.
Week 8 - 10
LLMOps & Operational Intelligence
- LLM APIs: Work with OpenAI, Anthropic, and Hugging Face in production.
- LLM Services: Build high-performance APIs with FastAPI and Redis.
- RAG Systems: Deploy complete AI systems with vector databases.
- Monitoring: Implement observability with LangFuse, Prometheus, and Grafana.
- Operational Intelligence: Automate insights from logs with AI-powered dashboards.
Application process
Apply to the program hereInformative call with Constructor Nexademy (optional)
Pay a deposit to secure your spot
Complete your preparation work before the program starts (beginners only)
Start learning! 😊
Get ready for the course
Free Python & Ops intro course
Online
Self-paced
Free of charge
Get ready for DevOps to LLMOps with our free course covering Python fundamentals plus Linux and Git basics. If you complete this course, you'll have a strong foundation to hit the ground running in our program.
Estimated time to complete: 12 hours
Topics
DevOps & Cloud Infrastructure
Master the complete DevOps pipeline from Linux and Git to production deployment. Build REST APIs with Django, containerize applications with Docker, set up CI/CD pipelines with GitLab, and deploy to the cloud with NGINX, Gunicorn, and PostgreSQL.
Data Science for LLMs
Master data preparation and processing for AI systems. Work with Pandas for operational data, understand embeddings and vector similarity, and build reproducible data pipelines for production AI.
LLM Infrastructure & Operations
Work with cutting-edge LLM APIs from OpenAI, Anthropic, and Hugging Face. Build RAG architectures, deploy AI services with FastAPI and Docker, and monitor production systems with LangFuse, Prometheus, and Grafana.
DevOps & LLMOps Infrastructure Engineering
This comprehensive program combines DevOps fundamentals with LLMOps infrastructure engineering. You'll master the complete pipeline from cloud deployment to production AI systems, covering Linux, Git, Docker, CI/CD, databases, REST APIs, LLM APIs, RAG architectures, and monitoring. By the end, you'll have deployed production applications with automated pipelines and built complete LLM-powered systems with operational intelligence, skills that are essential for modern infrastructure engineering.
- DevOps pipelines, Docker, CI/CD, LLM APIs, RAG architecture, and monitoring
- A strong foundation for DevOps, LLMOps, and AI Infrastructure Engineering roles
- Ideal for aspiring infrastructure engineers who want to master both cloud deployment and AI systems
- Hands-on learning through real-world DevOps and AI projects
Over 120 hrs
hands on learning
Deploy production applications and AI systems with monitoring and operational intelligence
Choose your location
Visit our campus in Zurich
Would you like to see what your time at Constructor Nexademy could be like and where our students spend most of their time? Then contact us for a visit of our campus.
Constructor Nexademy
Förrlibuckstrasse 150
8005 Zürich
+41 (0)44 797 51 43
Financing options
At Constructor Nexademy, we believe that finances should never be a barrier to accessing the education and training that can help individuals achieve their goals. That's why we offer a variety of financing options to make our courses more accessible to a diverse range of students. We also work with external organizations that provide financial assistance to those in need.
Certificate from top coding school
Get certified by Constructor Nexademy, one of the world's top coding academies. Share your certificate on social networks, CVs and more. Boost your career with the new skills that you gained.
Upcoming events
Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.
FAQs
What other type of support will I have during the course?
In addition to the instructor, there will be Teaching Assistants (TAs). They will attend class with you and be a vital resource of assistance. The other students in the classroom, with whom you’ll form a strong bond, will also be a valuable source of help and collaboration. At Constructor Academy, it’s all about teamwork. The success of one student translates to the success of all.
What are the technical pre-requisites for the course?
You wil need a laptop with good internet connection.
How many students are there per class?
To maintain a high level of interaction and instruction, each class has an average of 15-20 students.
Is the program fully remote?
The program is delivered fully online in live sessions via Zoom
What coding level do I need?
Python Fundamentals, and completing the Python and Ops Intro Course if you are a beginner. Motivation and drive are the most important factors.
Instructors
Adrien Laâboudi
Teaching Assistant & Instructor
After working for more than three years in IT support in France, Adrien made the decision to further his career in the field by learning to code. He moved to Switzerland to attend the Full-Stack Bootcamp and never looked back! Considering his experience dealing with all kinds of computer issues and willingness to help, becoming a Teaching Assistant after graduation was a natural fit for him. In his free time, he enjoys to watch sports and hike around the country, and has a passion for history, geography, and world cultures.
Dr. Finn Jost
Teaching Assistant & Instructor
Dr Finn Jost has over five years of experience working across mathematical physics, data science, and teaching. With a background in academic research and industry projects, he is enthusiastic about uncovering patterns in complexity and explaining them illustratively and driven by real applications. This interest naturally led him to the Data Science program at Constructor Nexademy and joining the team felt like a natural next step. This allows him to combine teaching, mentoring, and course development helping learners to translate concepts into intuition gaining confidence through hands-on experience for their career.
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