Free Live Workshop · JingleAI Academy
For DevOps, Cloud & SRE engineers → MLOps, LLMOps & AI Infrastructure roles
Your DevOps, Cloud or SRE skills already cover a big part of MLOps. AI is now reshaping engineering careers — and MLOps engineers who can deploy ML systems in production are commanding significantly higher salaries. This workshop shows you exactly how to make that leap.
Reserve My Free Seat Seats limited to keep the session interactiveCurrent openings, salary ranges from ₹6 LPA to ₹60+ LPA, and which companies are hiring MLOps engineers right now.
Walkthrough of a real 'loan default prediction system' project— data versioning, experiment tracking, model deployment, and monitoring in action.
See exactly how MLOps tools - MLflow, DVC, Kubeflow, Airflow, and KServe map to the CI/CD, version control, and orchestration tools you already use every day.
Which tools to learn first, in what order, and how to build a portfolio MLOps project that gets interview calls.
What transfers directly from your DevOps, Cloud or SRE experience, and what's genuinely new in MLOps — so you know exactly what to learn to become an MLOps Engineer.
Bring your career questions — resume positioning, interview prep, or anything about the transition.
Best suited for engineers with 2+ years of experience who want to break into the AI & ML world.
You are NOT starting from zero. Your infrastructure experience is your head start.Trainer and advisor bringing hands-on MLOps course-building experience (MLflow, DVC, Kubeflow, Airflow, KServe, Evidently AI) together with AI architecture and strategy expertise — all grounded in real production-style projects.
Sunday 22 November, 7:30 PM IST. Register now and your Zoom joining link plus free MLOps resources will be sent to your email.
Yes, 100% free. It's a live 90-minute session with practical content and Q&A. No payment details are needed at any point.
Sunday 22 November 2026, 7:30 PM IST. It's a 90-minute live session on Zoom, including Q&A. Register above and your joining link will be sent to your email and WhatsApp before the session. Seats are limited to keep the session interactive.
No. This workshop is designed for DevOps, Cloud and SRE engineers. We'll show you exactly where Python and ML fundamentals fit into your learning path.
We don't share recordings, but registered attendees receive the workshop project code and other helpful resources by email after the session. You'll also be added to our WhatsApp community, so you can keep learning MLOps beyond the workshop.
Along with email, we'll send important updates like the workshop date and joining link on WhatsApp so you don't miss the session. You'll also be added to our WhatsApp community, which helps you keep learning MLOps beyond the workshop. No spam, and you can opt out anytime.