02 · Curriculum
What's in the course.
- Understanding Git and Gitflow 23m
- CI/CD with Jenkins20m
- CI/CD with Github Actions, Docker and EC215m
Intermediate
GitOps for AI Engineers
GitOps for AI Engineers is an intensive, 3-hour hands-on course designed to help practitioners operationalise Generative AI applications using modern DevOps principles. In this 3-hour session, participants will learn how to structure Git-d…
- 3+
- enrolled
- 3 hrs
- of instruction
- 14
- lectures
- 3
- modules
Taught by Sachin Tripathi01 · What you'll be able to do
Six things you can ship afterwards.
GitOps for AI Engineers is an intensive, 3-hour hands-on course designed to help practitioners operationalise Generative AI applications using modern DevOps principles. In this 3-hour session, participants will learn how to structure Git-driven workflows, implement Gitflow strategies, and build CI/CD pipelines tailored specifically for LLM-based systems. The course covers practical implementation with GitHub Actions and Jenkins, as well as containerization with Docker, to ensure consistent, reproducible deployments across environments. Participants will also explore data and artifact versioning strategies critical for maintaining traceability and governance in AI projects. By the end of the session, attendees will understand how to design and automate production-grade delivery pipelines that enable reliable, scalable, and maintainable AI deployments.
Design Git-Driven Workflows
Design Git-Driven Workflows for AI Systems.
Build CI Pipelines
Build CI Pipelines for Generative AI Applications.
Implement Continuous Delivery
Implement Continuous Delivery for LLM Applications.
Containerize and
Containerize and.
Deploy AI Applications
Deploy AI Applications with Docker.
Manage Data & Model
Manage Data & Model Versioning in Production.
03 · Instructors
Taught by the people who built it.
Sachin Tripathi
All courses by Sachin04 · Is it for you?
Who it's for, and what to bring.
Built for
- AI / ML Engineers
- LLMOps/MLOps Engineers
- Data Scientists
- AI Application Developers
- DevOps Engineers
Bring with you
- Basic Git familiarity (clone, commit, branch, merge, pull requests)
- Working knowledge of Python and API-based application development
- Foundational understanding of LLM/GenAI applications
- Basic command-line proficiency (terminal usage, package installation)
- Familiarity with Docker concepts is helpful but not mandatory
05 · FAQ
Before you enrol.
Each of the 3 modules is a recorded live session, with slide deck and handouts, readings from that session. Watch at your own pace.
$49.00
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Ready to start?
$49, or free with Premium membership.