Learn MLOps Online: Free Course with AI Tutor & Certificate
You'll learn to automate and deploy machine learning models in this free MLOps course. Across 47 quick video lessons totaling about 1 hour, you will master ML pipelines, data versioning, and CI/CD practices. Build four real projects and grab an optional certificate to prove your skills.
What you'll learn in this MLOps course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand and implement MLOps principles and workflows to streamline machine learning model deployment and management.
Utilize data and model versioning techniques to ensure reproducibility and traceability in machine learning projects.
Design and execute robust ML pipelines for efficient data processing, model training, and evaluation.
Apply continuous integration and continuous deployment (CI/CD) practices to automate testing and deployment of ML models.
Deploy machine learning models using various strategies and tools, including Docker, Kubernetes, and serverless architectures.
MLOps course syllabus
01 ML Ops Fundamentals
- What is Machine Learning Operations (MLOps)
- Importance of MLops in machine learning
- Differences Between MLOps and DevOps
- MLOps Lifecycle and Workflow
- Key Components of an MLOps Pipeline
- Real World Use Cases of MLOps
- Challenges in Deploying ML Models
- Popular MLOps Tools and Platforms
02 Data and Model Versioning
- Introduction to Data Version Control (DVC)
- Versioning Datasets for Machine Learning
- Managing Experiments and Runs
- Using Git for ML Projects Part 1
- Using Git for ML Projects Part 2
- Reproducible Machine Learning Pipelines part 1
- Reproducible Machine Learning Pipelines part 2
- Model Lineage and Metadata Part 1
- Model Lineage and Metadata Part 2
- Best Practices for Version Control in MLOps
03 ML Pipeline
- What is an ML Pipeline
- Data Ingestion
- Data Preprocessing
- Model Training
- Model Evaluation
- Workflow Orchestration with Airflow
- Using Kubeflow Pipelines
- End to End ML Pipeline Example
04 Continuous Integration for ML
- CI CD for Machine Learning
- Automated Testing for ML Models
- Validating Data and Features
- Model Performance Testing
- Using GitHub Actions for ML Part 1
- Using GitHub Actions for ML Part 2
05 Model Deployment Strategies
- Introduction to Model Deployment
- Batch vs Real Time Inference
- Deploying Models with Flask
- Deploy ML models with FastAPI
- Dockerizing ML Models
- Kubernetes for Model Serving
- Using MLflow for Deployment
- Serverless Model Deployment Part 1
- Serverless Model Deployment Part 2
- Canary Deployment
- Blue Green Deployment
06 Feature Store and Data Management
- What is a Feature Store
- Offline and Online Feature Stores
- Using Feast Feature Store
- Feature Reuse Across Models
Real-world projects you'll work on
Practice the exact kind of work MLOps professionals do on the job.
Building a Scalable MLOps Pipeline for Real-Time Fraud Detection at FinTech Innovators
Implementing Continuous Integration and Deployment for Predictive Maintenance Models at Global Manufacturing Corp
Developing a Robust Model Versioning System for Personalized Recommendations at E-Commerce Giant
Deploying Serverless Machine Learning Models for Dynamic Pricing Strategies at RetailTech Solutions
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this MLOps course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Data scientists looking to learn how to push their local models into production environments.
- Software engineers in India wanting to transition into specialized machine learning operations roles.
- Students with basic Python and ML knowledge seeking a practical complete MLOps bootcamp experience.
- IT professionals who want to understand continuous integration and deployment for AI systems.
Prerequisites
- A basic understanding of Python programming and machine learning concepts is recommended.
- Familiarity with command-line tools and basic software engineering principles.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete MLOps course: free, structured and job-focused
The most practical thing you will do here is deploy real machine learning models using Docker, Kubernetes, and serverless architectures. This free machine learning operations course walks you through the exact steps to take a model from a local notebook to production. You'll start with ML Ops Fundamentals and quickly move into Data and Model Versioning. From there, the 47 video lessons cover building an ML Pipeline, Continuous Integration for ML, Model Deployment Strategies, and setting up a Feature Store and Data Management system.
Theory only goes so far, so you will apply your new skills across four hands-on projects. You'll build a scalable MLOps pipeline for real-time fraud detection at FinTech Innovators and implement continuous integration and deployment for predictive maintenance models at Global Manufacturing Corp. Next, you will develop a model versioning system for personalized recommendations at E-Commerce Giant and finish by deploying serverless machine learning models for dynamic pricing strategies at RetailTech Solutions. These practical exercises ensure you know how to handle actual production environments.
LearnTube makes this process highly interactive. We curate the best YouTube video lessons and pair them with an AI tutor that tests your knowledge after every single video. The learning is entirely free. If you want to show off your new skills to our 900+ hiring partners, you can choose to add a paid MLOps certification at the end.
Jobs you can target after learning MLOps
MLOps is a gateway skill for some of the fastest-growing roles in tech.
Manages the deployment, monitoring, and lifecycle of machine learning models in production.
Builds and maintains the data infrastructure and pipelines required for AI applications.
Designs and trains predictive models while ensuring they run efficiently on live servers.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a MLOps certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this MLOps course.
Is learning machine learning operations still worth it?
Yes. Many companies struggle to get their AI models out of testing and into actual production. Knowing how to deploy and maintain these systems makes you highly valuable to modern tech employers.
Is this MLOps course really free?
Yes, the entire learning experience is completely free. You can watch all 47 video lessons, take the AI quizzes, and build the projects at no cost. The official certificate is an optional paid upgrade.
Will I get an MLOps certification course certificate?
Yes, you can earn a certificate. After you finish the ML Ops Fundamentals and pass all the AI-tutor quizzes, you have the option to purchase a verified certificate to attach to your resume.
How is this better than watching YouTube tutorials?
We organize the best videos into a clear syllabus and add an AI tutor. Instead of getting distracted, you test your knowledge with quizzes after every lesson to ensure you actually understand the concepts.
Can I take this MLOps course as a beginner?
You need some foundational knowledge first. This course assumes you already know basic Python and how machine learning works. If you have those basics, this is a great starting point for operations.
Is this an online MLOps training with set hours?
No, the course is entirely self-paced. You can log in anytime to complete the 1 hour of video content and projects on your own schedule, making it perfect for working professionals.
Learners also explore these free courses
Pair MLOps with a complementary skill to stand out even more.
Start learning MLOps today, for free
47 lessons, an AI tutor that never gets tired, and a certificate at the finish line. All you need is an hour a day.
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