Learn MLOps: From Development to Production Online: Free Course with AI Tutor & Certificate
You will build automated pipelines and deploy models to the cloud by the end of this free MLOps course. Across 7 modules and 30 video lessons, you'll spend about 1 hour learning reproducible machine learning. The program includes an AI tutor and an optional paid certificate.
MLOps: From Development to Production course syllabus
01 Module 1: Introduction to the MLOps Lifecycle
- Understanding the 'Why' of MLOps
- Mapping the End-to-End ML Project Lifecycle
- Core Principles of Production ML Systems
02 Module 2: Foundations for Reproducible Machine Learning
- Containerizing Your ML Environment with Docker
- Versioning Code and Collaborating with Git/GitHub
- Implementing Data and Model Versioning with DVC
- Implementing Experiment Tracking with MLflow
03 Module 3: Building Automated ML Pipelines
- Introduction to ML Pipeline Orchestration
- Building a CI/CD Pipeline for ML with GitHub Actions
- Orchestrating Workflows with Apache Airflow
- Getting Started with Kubeflow Pipelines
04 Module 4: Model Deployment and Serving
- Building a Model Serving API with FastAPI
- Packaging Your Model Service with Docker
- Deploying Models to Production with AWS SageMaker
- Deploying Models on Google Cloud with Vertex AI
- Understanding Deployment Strategies: Canary and Shadow
05 Module 5: Model Monitoring, and Management
- Detecting Data and Concept Drift
- Monitoring ML Systems with Prometheus and Grafana
- Implementing Logging and Alerting for ML Models
- Designing a Model Retraining Strategy
06 Module 6: Capstone Project 1: End-to-End CI/CD Pipeline for a Customer Churn Predictor
- Project Setup and Experiment Tracking
- Building the Automated Training Pipeline
- Developing the Prediction Service with FastAPI
- Containerizing and Deploying the Application
- Implementing the Full CI/CD Workflow
07 Module 7: Capstone Project 2: Production-Grade ML on the Cloud
- System Design and Cloud Service Setup (GCP/AWS)
- Building a Data Ingestion and Processing Pipeline
- Creating a Managed Training and Tuning Pipeline
- Deploying and Securing a Managed Model Endpoint
- Implementing Cloud-Native Monitoring and Alerting
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this MLOps: From Development to Production 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 in India.
- Computer science students looking for a practical mlops tutorial to build a portfolio.
- IT professionals aiming to understand automated ML pipelines and cloud deployment.
Prerequisites
- Basic understanding of machine learning concepts and Python programming is required.
- Familiarity with standard data science libraries like Pandas and Scikit-Learn.
- No prior experience with cloud deployment or CI/CD pipelines is necessary.
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: From Development to Production course: free, structured and job-focused
You will learn how to take machine learning models out of isolated notebooks and put them into real-world environments. This free mlops training starts by Understanding the 'Why' of MLOps. From there, you will move through 7 structured modules that cover the entire lifecycle. You'll study Foundations for Reproducible Machine Learning before Building Automated ML Pipelines. We also cover Model Deployment and Serving, as well as Model Monitoring, and Management, ensuring your algorithms stay accurate over time.
Theory only goes so far, so you will apply your new skills immediately. The curriculum features two major hands-on challenges. First, you'll tackle Capstone Project 1: End-to-End CI/CD Pipeline for a Customer Churn Predictor. Next, you will complete Capstone Project 2: Production-Grade ML on the Cloud. These practical exercises give you a clear portfolio to show potential employers when applying for machine learning operations roles.
LearnTube makes this 1-hour machine learning operations course highly interactive. We curate the best YouTube video lessons and pair them with an AI tutor that tests your knowledge. You will face a quick quiz after every single lesson to make sure the concepts stick. While the learning is completely free, you can choose to purchase an optional certificate at the end to verify your new skills on your resume.
Jobs you can target after learning MLOps: From Development to Production
MLOps: From Development to Production is a gateway skill for some of the fastest-growing roles in tech.
Designs and maintains automated pipelines for deploying and monitoring machine learning models.
Develops and deploys predictive algorithms into scalable production environments.
Builds the data infrastructure that supports large-scale model training and serving.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a MLOps: From Development to Production 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: From Development to Production course.
Is this mlops course really free?
Yes. You can watch all 30 video lessons and take the AI quizzes without paying anything. We only charge a fee if you decide to add the optional verified certificate at the end of your studies.
How do I get the mlops certification?
You earn the certificate by completing all 7 modules and passing the AI-generated quizzes. Once you finish the final capstone project, you can purchase the document to share on your LinkedIn profile or resume.
Why use LearnTube instead of plain YouTube tutorials?
We organize scattered videos into a logical path so you don't waste time searching. Our platform also adds an AI tutor that quizzes you after every single video, ensuring you actually remember the machine learning operations concepts.
What software do I need installed for this mlops training?
You only need a modern web browser and a stable internet connection. We recommend having a Python environment set up or access to cloud-based notebooks like Google Colab to practice building your automated ML pipelines.
Is this a self-paced mlops full course?
Absolutely. You can learn at your own speed and access the 1 hour of material whenever it fits your schedule. There are no fixed deadlines, making it easy to study while working or attending university.
Is this mlops tutorial for beginners?
It is designed for learners who already know basic machine learning concepts. If you understand how to build a simple model in Python, this course will teach you how to deploy and monitor it effectively.
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