Top 10 MLOps Learning Institutes & Courses for Jaipur (2026 Guide + Syllabus)
A complete 10-module MLOps syllabus plus 10 MLOps learning options for Jaipur learners — the Jaipur classroom option,…
Read article →COURSE · CLASSROOM IN JAIPUR & LIVE ONLINE
Learn how to take machine learning models from notebooks to reliable production systems using APIs, containers, CI/CD and model monitoring.
700+
Students Trained
90%
Students Placed*
15 Years
Trainer Experience
*Based on our internal student records; placement is not guaranteed.
Course duration
Per class session
Jaipur centre or live online
On course completion
Needs Python and ML basics
Our MLOps training in Jaipur and online teaches you how to take machine learning models out of notebooks and run them as reliable production systems, using APIs, containers, CI/CD and model monitoring.
This is an intermediate six-month course for learners who already know Python and basic machine learning. Join at our Jhotwara centre or live online, with weekend, evening and online options. New to ML? Start with our AI & Machine Learning course.
You begin with the ML lifecycle and why models fail in production. Then you serve models with FastAPI, containerise them with Docker, automate testing and deployment with GitHub Actions, track experiments with MLflow and finish with monitoring, data drift and retraining. See every topic in the detailed syllabus.
This MLOps course is built around practical work: an ML model API with FastAPI and Docker, a CI/CD pipeline for a model, MLflow experiment tracking and a model monitoring dashboard. Explore them in live projects.
You receive an IBM certificate on completion, with resume and interview support for roles such as MLOps Engineer, Machine Learning Engineer and ML Platform Engineer.
What is the MLOps course duration?
The course runs for 6 months, with focused 2-hour classes. The weekly schedule depends on the batch you choose.
Is the MLOps course suitable for beginners?
It is an intermediate course and expects working Python and basic machine learning. If you are new, start with our AI & Machine Learning course first.
Are MLOps classes available near me in Jaipur?
Yes. Classes run at our centre at 2, Bhomiya Nagar, Jhotwara, Jaipur, and the same live classes are available online, so you can join from anywhere.
Can I take MLOps training online?
Yes. The same live classes run at our Jhotwara centre and online, with weekend and evening options.
What are the MLOps course fees?
Fees depend on classroom or online batch and current offers, so our advisor shares the latest fee and payment options. Fill in the form to get them.
The easiest next step is to fill in the form. Our course advisor will call you with the syllabus, upcoming batch timings and the best batch for your schedule. You can also check the fees section.
Share a few details and our course advisor will contact you with the fees, duration and upcoming batch timings.
Get the fees, batch timings and full syllabus. Fields marked * are required.
ON THIS PAGE
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WHY THIS COURSE
Six reasons this course is worth your time.
Training a model is only half the job — MLOps skills are what get models running reliably for real users.
MLOps sits between data science and software engineering, a combination that teams find hard to hire for.
Learn FastAPI, Docker, GitHub Actions and MLflow — tools widely used in production ML.
If you already know machine learning, MLOps turns your notebooks into deployable systems.
Complete the course to receive an IBM certificate alongside a portfolio of practical projects.
Finish with a containerised model API and a CI/CD pipeline you can demonstrate.
WHY GAURI AI
Choosing the best MLOps training institute in Jaipur comes down to what you will actually build and who will guide you. Here is what our course offers.
Learn at our Jhotwara centre or join the same live classes online.
Each 2-hour class is built around practical work, not just watching slides.
FastAPI, Docker, GitHub Actions, MLflow and model monitoring — the tools used to run ML in production.
Build ML Model API with FastAPI & Docker, CI/CD Pipeline for a Model, MLflow Experiment Tracking and more for your portfolio.
Receive an IBM certificate on completion, alongside career support.
Builds on working Python and basic machine learning — start with our AI & Machine Learning course if you are new.
WHO SHOULD JOIN
This is an intermediate course designed for learners who already have the foundations and want to go further.
Extend your skills into MLOps with practical, production-focused projects.
Ideal after a AI & Machine Learning course — this course expects working Python and basic machine learning.
2-hour classes with weekend, evening and online options to fit around your job.
Build the skills used in roles such as MLOps Engineer, Machine Learning Engineer, ML Platform Engineer.
CURRICULUM
The curriculum is organised into modules that build on each other.
Module 1
The ML lifecycle and why models fail in production.
Module 2
Building REST APIs around trained models.
Module 3
Containerising models and their dependencies.
Module 4
Automated testing and deployment pipelines with GitHub Actions.
Module 5
Tracking experiments, versioning and registering models.
Module 6
Monitoring performance, data drift and retraining workflows.
DETAILED SYLLABUS
Click a module to see the topics covered. The full course runs for 6 months.
LEARNING OUTCOMES
TOOLS & TECHNOLOGIES
PythonFastAPIDockerGitHub ActionsMLflowLinuxCloud basics
SAMPLE PROJECTS
Sample curriculum projects; the exact projects may vary by batch.
HANDS-ON PROJECTS
Sample curriculum projects — exact projects may vary by batch.
Serve a trained model as a REST API inside a container.
FastAPIDockerscikit-learn
You will learn: API design and containerisation
Automatically test and deploy a model every time code changes.
GitHub ActionsDocker
You will learn: Automated testing and deployment
Track and compare experiments, then register the best model.
MLflowPython
You will learn: Experiment tracking and model registry
Monitor predictions and detect data drift over time.
PythonEvidently or similarGrafana basics
You will learn: Drift detection and alerting
CAREER SUPPORT
Finish the MLOps course with a certificate and a portfolio of live projects — plus help turning them into job applications. Placement assistance is support; outcomes depend on individual effort and are not guaranteed.
Present your MLOps projects in your resume and portfolio so recruiters can see what you have built.
Practise common MLOps interview questions and learn to explain your projects clearly.
Complete the course to receive an IBM certificate alongside your portfolio.
BATCH OPTIONS
Searching for MLOps classes near me? Our centre is at 2, Bhomiya Nagar, Jhotwara, Jaipur — and the same live classes are available online. Class timings are fixed separately for each batch — a course advisor will share the timings of upcoming batches when you enquire.
Regular 2-hour classes for college students and freshers who can attend during the week.
For working professionals — ask our team about upcoming weekend and evening MLOps batches and their timings.
Join interactive live sessions from anywhere, with the same syllabus, projects and certificate.
FEES
Looking for an affordable MLOps course in Jaipur? Compare what is included — syllabus, live projects, certificate and career support — not just the price. Fees depend on the batch type (classroom or live online) and any current offers, so a course advisor shares the latest fee and payment options before you enrol.
6 modules: MLOps Foundations, Serving Models with FastAPI, Docker for ML, CI/CD for ML, Experiment Tracking with MLflow, Monitoring & Maintenance.
Hands-on sessions in our Jhotwara classroom or live online.
ML Model API with FastAPI & Docker, CI/CD Pipeline for a Model, MLflow Experiment Tracking, Model Monitoring Dashboard.
Awarded on course completion, alongside career support.
Get the current fees and batch timings: fill in the enquiry form or WhatsApp +91 82096 15423.
CAREER PATHS
The skills in this course are used in roles like these. Your next role depends on your background, portfolio and interviews.
Builds pipelines to deploy and monitor ML models.
DockerCI/CDMLflow
Trains models and puts them into production.
MLAPIsCloud
Builds internal tools that ML teams use.
KubernetesAutomationPython
Ships AI features reliably in products.
APIsDeploymentMonitoring
ADMISSIONS
Taking admission at Gauri AI takes four simple steps — at our Jhotwara centre or entirely online.
Fill in the form on this page, or call or WhatsApp us on +91 82096 15423.
Get the MLOps syllabus, current fees and batch timings, and ask any questions.
Pick classroom or live online, and a weekday or weekend option based on upcoming batches.
Complete the admission formalities and begin with Module 1 — MLOps Foundations.
COMPARE COURSES
Related courses that might suit your goals better.
Choose this for the full journey from Python and ML to deep learning and generative AI.
Choose this to automate builds, deployments and infrastructure.
Choose this to work with AWS, Azure and Google Cloud.
Choose this to build AI agents that plan and use tools.
FREE RESOURCES
A complete 10-module MLOps syllabus plus 10 MLOps learning options for Jaipur learners — the Jaipur classroom option,…
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Read article →FAQ
The best course depends on your goals. Look for a practical syllabus, live projects you can show employers, experienced trainers, a recognised certificate and batch options that fit your schedule. Gauri AI’s MLOps course covers MLOps Foundations, Serving Models with FastAPI, Docker for ML, CI/CD for ML and more, in our Jhotwara classroom and live online — compare it against these criteria and ask us for a course walkthrough.
Fees vary by batch type (classroom in Jaipur or live online) and current offers, so we share the latest fee and payment options directly. Fill in the enquiry form, or call or WhatsApp +91 82096 15423. See the fees section for what the course includes.
The syllabus has 6 modules: MLOps Foundations, Serving Models with FastAPI, Docker for ML, CI/CD for ML, Experiment Tracking with MLflow, Monitoring & Maintenance. See the detailed syllabus for every topic.
This is an intermediate course. You should be comfortable with working Python and basic machine learning. If you are new, start with our AI & Machine Learning course first.
Yes. Sample projects include ML Model API with FastAPI & Docker, CI/CD Pipeline for a Model, MLflow Experiment Tracking, Model Monitoring Dashboard. Exact projects may vary by batch.
Yes. Learners who complete the course receive an IBM certificate, alongside a portfolio of practical projects.
Yes. Many college students join to build practical skills and a project portfolio alongside their degree. Ask about weekday, weekend and online batch options that fit your timetable.
Yes. Classes are 2 hours long, and many learners study alongside work. Timings are fixed for each batch — ask our team about upcoming weekend, evening and live online batches.
Yes. Classes run at our centre at 2, Bhomiya Nagar, Jhotwara, Jaipur, and as live online sessions, so you can join from anywhere.
We provide interview preparation, resume guidance and career support. Placement outcomes depend on individual effort and are not guaranteed.
The course prepares you for roles such as MLOps Engineer, Machine Learning Engineer, ML Platform Engineer, AI Engineer. Opportunities depend on your skills, projects and experience.
Send an enquiry using the form on this page or WhatsApp +91 82096 15423, talk to a course advisor about fees and batch timings, choose your batch, then confirm your seat. See the admission steps.
You should be comfortable with Python and understand how ML models are trained. If you are new to ML, start with the AI & Machine Learning or Data Science course.
DevOps automates software delivery. MLOps applies similar practices to machine learning and adds model versioning, experiment tracking and monitoring for data drift.
The course runs for 6 months, with 2-hour class sessions. The weekly schedule depends on the batch — ask a course advisor for current batch timings.
A laptop with at least 8 GB RAM that can run Docker is recommended (16 GB is more comfortable).
ENQUIRE NOW
Share a few details and our course advisor will contact you with the curriculum, fees, duration and upcoming batch timings.
Fields marked * are required. We’ll only use your details to respond to this enquiry.