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COURSE · CLASSROOM IN JAIPUR & LIVE ONLINE

MLOps Training — Deploy & Monitor ML Models

Learn how to take machine learning models from notebooks to reliable production systems using APIs, containers, CI/CD and model monitoring.

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700+

Students Trained

90%

Students Placed*

15 Years

Trainer Experience

*Based on our internal student records; placement is not guaranteed.

6 Months

Course duration

2 Hours

Per class session

Classroom + Online

Jaipur centre or live online

IBM Certificate

On course completion

Intermediate

Needs Python and ML basics

COURSE OVERVIEW

Everything You Need to Master MLOps

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.

The full production toolkit

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.

Projects that prove you can ship

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.

Certificate and career support

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.

Quick answers

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.

Start your enrolment

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.

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ON THIS PAGE

MLOps Course — Contents

Jump to any section of this course page.

  1. Why this course
  2. Why Gauri AI
  3. Who should join
  4. What you will learn
  5. Syllabus
  6. Skills & tools
  7. Live projects
  8. Placement assistance
  9. Batch options
  10. Fees
  11. Careers
  12. Admission
  13. FAQs

WHY THIS COURSE

Why Take the MLOps Course?

Six reasons this course is worth your time.

Many Models Never Reach Production

Training a model is only half the job — MLOps skills are what get models running reliably for real users.

Bridge Data Science and Engineering

MLOps sits between data science and software engineering, a combination that teams find hard to hire for.

Industry-Standard Tools

Learn FastAPI, Docker, GitHub Actions and MLflow — tools widely used in production ML.

The Natural Next Step After ML

If you already know machine learning, MLOps turns your notebooks into deployable systems.

IBM Certificate

Complete the course to receive an IBM certificate alongside a portfolio of practical projects.

Deployable Projects

Finish with a containerised model API and a CI/CD pipeline you can demonstrate.

WHY GAURI AI

Practical MLOps Training in Jaipur

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.

Classroom in Jaipur + Live Online

Learn at our Jhotwara centre or join the same live classes online.

Hands-On, Every Class

Each 2-hour class is built around practical work, not just watching slides.

MLOps with Python, Docker & CI/CD

FastAPI, Docker, GitHub Actions, MLflow and model monitoring — the tools used to run ML in production.

MLOps Course With Live Projects

Build ML Model API with FastAPI & Docker, CI/CD Pipeline for a Model, MLflow Experiment Tracking and more for your portfolio.

MLOps Course With Certificate

Receive an IBM certificate on completion, alongside career support.

Intermediate Level

Builds on working Python and basic machine learning — start with our AI & Machine Learning course if you are new.

WHO SHOULD JOIN

Who Should Join the MLOps Course?

This is an intermediate course designed for learners who already have the foundations and want to go further.

Developers & Engineers

Extend your skills into MLOps with practical, production-focused projects.

Learners Ready for the Next Step

Ideal after a AI & Machine Learning course — this course expects working Python and basic machine learning.

Working Professionals

2-hour classes with weekend, evening and online options to fit around your job.

Career Growth

Build the skills used in roles such as MLOps Engineer, Machine Learning Engineer, ML Platform Engineer.

Who Is This Course For?

  • Data scientists and ML engineers who want to deploy their models
  • Software and DevOps engineers moving into ML platforms
  • Learners who have completed an ML course

Prerequisites

  • Working knowledge of Python
  • Basic understanding of machine learning models
  • Familiarity with the command line is helpful

CURRICULUM

What You Will Learn

The curriculum is organised into modules that build on each other.

Module 1

MLOps Foundations

The ML lifecycle and why models fail in production.

Module 2

Serving Models with FastAPI

Building REST APIs around trained models.

Module 3

Docker for ML

Containerising models and their dependencies.

Module 4

CI/CD for ML

Automated testing and deployment pipelines with GitHub Actions.

Module 5

Experiment Tracking with MLflow

Tracking experiments, versioning and registering models.

Module 6

Monitoring & Maintenance

Monitoring performance, data drift and retraining workflows.

DETAILED SYLLABUS

MLOps Course Syllabus

Click a module to see the topics covered. The full course runs for 6 months.

  • The ML lifecycle
  • Why models fail in production
  • Reproducibility and project structure
  • Virtual environments and dependencies
  • REST API basics
  • Building endpoints
  • Request validation with Pydantic
  • Serving a trained model
  • Testing APIs
  • Images and containers
  • Writing a Dockerfile for an ML app
  • Docker Compose
  • Reducing image size
  • Container registries
  • Git workflows
  • GitHub Actions
  • Automated tests for ML code
  • Build and deploy pipelines
  • Managing secrets
  • Tracking parameters and metrics
  • Comparing runs
  • Model registry
  • Versioning data and models
  • Logging and metrics
  • Data drift and model drift
  • Alerts
  • Retraining strategies
  • Cloud deployment basics

LEARNING OUTCOMES

By the End of the Course, You Will Be Able To

  • Package a trained model as an API
  • Containerise ML applications with Docker
  • Build CI/CD pipelines for ML projects
  • Track and version experiments with MLflow
  • Monitor models in production

TOOLS & TECHNOLOGIES

Tools You Will Use

PythonFastAPIDockerGitHub ActionsMLflowLinuxCloud basics

SAMPLE PROJECTS

  • ML model API with FastAPI and Docker
  • CI/CD pipeline for a model
  • MLflow experiment tracking setup
  • Model monitoring dashboard

Sample curriculum projects; the exact projects may vary by batch.

HANDS-ON PROJECTS

Live Projects You Will Build

Sample curriculum projects — exact projects may vary by batch.

ML Model API with FastAPI & Docker

Serve a trained model as a REST API inside a container.

FastAPIDockerscikit-learn

You will learn: API design and containerisation

CI/CD Pipeline for a Model

Automatically test and deploy a model every time code changes.

GitHub ActionsDocker

You will learn: Automated testing and deployment

MLflow Experiment Tracking

Track and compare experiments, then register the best model.

MLflowPython

You will learn: Experiment tracking and model registry

Model Monitoring Dashboard

Monitor predictions and detect data drift over time.

PythonEvidently or similarGrafana basics

You will learn: Drift detection and alerting

CAREER SUPPORT

Certificate, Placement Assistance & 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.

Resume & Portfolio Guidance

Present your MLOps projects in your resume and portfolio so recruiters can see what you have built.

Interview Preparation

Practise common MLOps interview questions and learn to explain your projects clearly.

IBM Certificate

Complete the course to receive an IBM certificate alongside your portfolio.

BATCH OPTIONS

Weekday, Weekend & Live Online MLOps Classes

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.

Weekday Batches

Regular 2-hour classes for college students and freshers who can attend during the week.

Weekend & Evening Options

For working professionals — ask our team about upcoming weekend and evening MLOps batches and their timings.

Live Online Classes

Join interactive live sessions from anywhere, with the same syllabus, projects and certificate.

FEES

MLOps Course Fees in Jaipur

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-Month Syllabus

6 modules: MLOps Foundations, Serving Models with FastAPI, Docker for ML, CI/CD for ML, Experiment Tracking with MLflow, Monitoring & Maintenance.

2-Hour Practical Classes

Hands-on sessions in our Jhotwara classroom or live online.

Live Projects

ML Model API with FastAPI & Docker, CI/CD Pipeline for a Model, MLflow Experiment Tracking, Model Monitoring Dashboard.

IBM Certificate

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

Roles This Course Prepares You For

The skills in this course are used in roles like these. Your next role depends on your background, portfolio and interviews.

MLOps Engineer

Builds pipelines to deploy and monitor ML models.

DockerCI/CDMLflow

Machine Learning Engineer

Trains models and puts them into production.

MLAPIsCloud

ML Platform Engineer

Builds internal tools that ML teams use.

KubernetesAutomationPython

AI Engineer

Ships AI features reliably in products.

APIsDeploymentMonitoring

ADMISSIONS

MLOps Course Admission in Jaipur — How to Enrol

Taking admission at Gauri AI takes four simple steps — at our Jhotwara centre or entirely online.

1. Send an Enquiry

Fill in the form on this page, or call or WhatsApp us on +91 82096 15423.

2. Talk to a Course Advisor

Get the MLOps syllabus, current fees and batch timings, and ask any questions.

3. Choose Your Batch

Pick classroom or live online, and a weekday or weekend option based on upcoming batches.

4. Confirm Your Seat & Start

Complete the admission formalities and begin with Module 1 — MLOps Foundations.

COMPARE COURSES

Not Sure This Is the Right Course?

Related courses that might suit your goals better.

AI & Machine Learning

Choose this for the full journey from Python and ML to deep learning and generative AI.

View course →

DevOps

Choose this to automate builds, deployments and infrastructure.

View course →

Cloud Computing

Choose this to work with AWS, Azure and Google Cloud.

View course →

Agentic AI

Choose this to build AI agents that plan and use tools.

View course →

FAQ

MLOps Course — FAQs

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

Enquire About the MLOps Course

Share a few details and our course advisor will contact you with the curriculum, fees, duration and upcoming batch timings.

  • Classroom training in Jaipur or live online
  • Call or WhatsApp: +91 82096 15423
  • Email: info@gauriai.com
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