Learn Machine Learning Operations Online: Free Course with AI Tutor & Certificate
This free Machine Learning Operations (MLOps) course takes about 2 hours to complete across 28 video lessons. You'll learn how to deploy, manage, and monitor machine learning models in production. By the end, you will know how to set up CI/CD pipelines and handle real-world data management.
Machine Learning Operations course syllabus
01 Introduction to Machine Learning Operations (MLOps)
- Understanding MLOps and its Importance
- Key Components of MLOps
- Differences between MLOps and DevOps
- Overview of the MLOps Lifecycle
02 Setting Up the MLOps Environment
- Tools and Technologies for MLOps
- Introduction to Cloud Platforms for MLOps
- Setting Up a Local Development Environment
- Version Control and Collaboration Tools
03 Data Management in MLOps
- Data Collection and Storage
- Data Preprocessing Techniques
- Data Versioning and Tracking
- Ensuring Data Quality and Integrity
04 Model Development and Training
- Selecting the Right Algorithms
- Training Models with Best Practices
- Hyperparameter Tuning and Optimization
- Model Evaluation and Validation
05 Continuous Integration and Deployment (CI/CD) for ML Models
- Introduction to CI/CD in MLOps
- Building Automated Pipelines
- Testing and Monitoring ML Models
- Deploying Models to Production
06 Monitoring and Maintenance of ML Models
- Importance of Model Monitoring
- Tools for Monitoring ML Models
- Handling Model Drift and Retraining
- Ensuring Model Security and Compliance
07 Case Studies and Real-World Applications
- MLOps in Healthcare
- MLOps in Finance
- MLOps in Retail
- Lessons Learned from Industry Implementations
Real-world projects you'll work on
Practice the exact kind of work Machine Learning Operations professionals do on the job.
Cloud Migration Strategy for a Global E-commerce Giant
Building a Scalable and Resilient Infrastructure for a High-growth Tech Startup
Implementing Cost Optimization Techniques for a Fortune 500 Company on AWS
Designing a Highly Secure and Compliant Cloud Environment for a Financial Services Leader
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Machine Learning Operations course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Data scientists who want to learn how to deploy and manage their models in production.
- Software engineers transitioning into machine learning operations roles.
- IT professionals looking to understand cloud infrastructure for ML workloads.
- Students in India aiming to build practical, project-based portfolios for tech roles.
Prerequisites
- A basic understanding of machine learning concepts is recommended before starting.
- Familiarity with Python programming and general cloud computing principles.
- No prior MLOps experience is required to begin the introductory modules.
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 Machine Learning Operations course: free, structured and job-focused
You can take this Machine Learning Operations course entirely for free, complete with an AI tutor that tests your knowledge after every video. If you want to prove your new skills, you can add an optional paid certificate at the end. Over the span of about 2 hours, you'll work through 7 modules that cover the entire lifecycle of ML operations. You'll start with a lesson on Understanding MLOps and its Importance, setting the stage for advanced production techniques.
The curriculum moves logically from Setting Up the MLOps Environment to Data Management in MLOps. Once your foundation is solid, you'll tackle Model Development and Training, followed by Continuous Integration and Deployment (CI/CD) for ML Models. We also cover the Monitoring and Maintenance of ML Models so your systems stay reliable over time. The final module focuses on Case Studies and Real-World Applications, ensuring you see how these concepts work in actual business scenarios.
To give you practical experience, the course includes four hands-on projects. You'll plan a Cloud Migration Strategy for a Global E-commerce Giant and try Building a Scalable and Resilient Infrastructure for a High-growth Tech Startup. You will also practice Implementing Cost Optimization Techniques for a Fortune 500 Company on AWS, plus Designing a Highly Secure and Compliant Cloud Environment for a Financial Services Leader. LearnTube curates the best YouTube lessons and pairs them with AI quizzes, so you learn faster and don't forget the material.
Jobs you can target after learning Machine Learning Operations
Machine Learning Operations is a gateway skill for some of the fastest-growing roles in tech.
Deploys machine learning models and maintains automated CI/CD pipelines.
Designs and manages scalable servers for data science applications.
Builds data pipelines and ensures smooth data management for ML models.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Machine Learning Operations 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 Machine Learning Operations course.
Is this MLOps course really free?
Yes, the entire MLOps training is completely free to learn. You get full access to all 28 video lessons and AI-generated quizzes at no cost. An official certificate is available as an optional paid upgrade.
What is the total duration of this MLOps certification course?
This machine learning operations course takes about 2 hours to complete. The curriculum is self-paced, allowing you to watch the video lessons and finish the four hands-on projects on your own schedule.
Are MLOps skills still in demand?
Yes, demand for ML operations professionals is growing rapidly. Companies need engineers who can move machine learning models out of the lab and into real-world production environments while managing cloud costs and security.
How does LearnTube differ from watching plain YouTube tutorials?
LearnTube organizes the best YouTube videos into a structured syllabus and adds an AI tutor. You will take interactive quizzes after every single lesson, ensuring you actually retain the material instead of just passively watching.
Will I get a certificate after completing the MLOps tutorial?
Yes, you can earn a certificate of completion. Once you finish all 7 modules and pass the AI quizzes, you can purchase the optional certificate to add to your resume or LinkedIn profile.
Do I need to attend classes at specific times?
No, the course is entirely self-paced online. You can access the lessons and projects whenever you want, making it easy to fit the training around your current job or university studies.
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Start learning Machine Learning Operations today, for free
28 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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