MLOps-Machine Learning Operation Certification Course
Master the lifecycle of (mlops) Machine Learning Operation training. Learn to build automated pipelines, manage model versions, and deploy scalable ML systems using Docker, Kubernetes, and MLflow.
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Earn a Recognized Certificate
Complete the course and receive a professional certificate to showcase your achievement.
This Course Includes:
- On-demand Sessions
- Downloadable Resources
- Portfolio Website
- Live Industry Project
- Freelance Projects
- Lifetime eKlabya Membership
Certificate of Completion
Validate your skills and enhance your resume upon completing all modules.
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What Our Students Say
Real reviews from Google, Facebook, X, and Instagram from learners who transformed their careers with us.
“Excellent training center for SAP Material Management certification courses. The sessions were interactive, and the placement support helped me gain confidence for interviews. The practical assignments made learning easy and effective.”
Vaibhav Thakur
Eklabya Verified Learner
“Excellent curriculum and amazing support from the team. I landed my first MNC job within two months of completing the program. Thank you Eklabya!”
Ritika Bhadani
Eklabya Verified Learner
“Myself Ritika I have learned Data Science and Power BI form Eklabya, As students I have experienced well structured training and practical from here. The trainer explained every concept step-by-step clear my all doubts with practical examples and real-time scenario, thats helped me build my knowledge strong and improve my skills in data science”
Amit Verma
Eklabya Verified Learner
“I had a great learning experience with Eklabya while pursuing Data Science. The course was well-structured, practical, and helped me understand important concepts with real-world applications. The guidance and support from the trainers were really helpful throughout the learning journey. Highly recommended for anyone looking to build a career in Data Science!”
Sheeba Jaidiya
Eklabya Verified Learner
“Excellent training center for SAP Material Management certification courses. The sessions were interactive, and the placement support helped me gain confidence for interviews. The practical assignments made learning easy and effective.”
Vaibhav Thakur
Eklabya Verified Learner
“Excellent curriculum and amazing support from the team. I landed my first MNC job within two months of completing the program. Thank you Eklabya!”
Ritika Bhadani
Eklabya Verified Learner
“Myself Ritika I have learned Data Science and Power BI form Eklabya, As students I have experienced well structured training and practical from here. The trainer explained every concept step-by-step clear my all doubts with practical examples and real-time scenario, thats helped me build my knowledge strong and improve my skills in data science”
Amit Verma
Eklabya Verified Learner
“I had a great learning experience with Eklabya while pursuing Data Science. The course was well-structured, practical, and helped me understand important concepts with real-world applications. The guidance and support from the trainers were really helpful throughout the learning journey. Highly recommended for anyone looking to build a career in Data Science!”
Sheeba Jaidiya
Eklabya Verified Learner
“Excellent training center for SAP Material Management certification courses. The sessions were interactive, and the placement support helped me gain confidence for interviews. The practical assignments made learning easy and effective.”
Vaibhav Thakur
Eklabya Verified Learner
“Excellent curriculum and amazing support from the team. I landed my first MNC job within two months of completing the program. Thank you Eklabya!”
Ritika Bhadani
Eklabya Verified Learner
“Myself Ritika I have learned Data Science and Power BI form Eklabya, As students I have experienced well structured training and practical from here. The trainer explained every concept step-by-step clear my all doubts with practical examples and real-time scenario, thats helped me build my knowledge strong and improve my skills in data science”
Amit Verma
Eklabya Verified Learner
“I had a great learning experience with Eklabya while pursuing Data Science. The course was well-structured, practical, and helped me understand important concepts with real-world applications. The guidance and support from the trainers were really helpful throughout the learning journey. Highly recommended for anyone looking to build a career in Data Science!”
Sheeba Jaidiya
Eklabya Verified Learner
“Excellent training center for SAP Material Management certification courses. The sessions were interactive, and the placement support helped me gain confidence for interviews. The practical assignments made learning easy and effective.”
Vaibhav Thakur
Eklabya Verified Learner
“Excellent curriculum and amazing support from the team. I landed my first MNC job within two months of completing the program. Thank you Eklabya!”
Ritika Bhadani
Eklabya Verified Learner
“Myself Ritika I have learned Data Science and Power BI form Eklabya, As students I have experienced well structured training and practical from here. The trainer explained every concept step-by-step clear my all doubts with practical examples and real-time scenario, thats helped me build my knowledge strong and improve my skills in data science”
Amit Verma
Eklabya Verified Learner
“I had a great learning experience with Eklabya while pursuing Data Science. The course was well-structured, practical, and helped me understand important concepts with real-world applications. The guidance and support from the trainers were really helpful throughout the learning journey. Highly recommended for anyone looking to build a career in Data Science!”
Sheeba Jaidiya
Eklabya Verified Learner
About This Course
With the help of MLOps Certification training, you can learn ways of combining Software Engineering with Data Science. The content of this course will provide you with knowledge of how to transform a machine learning prototype into an actual product with various functionalities and scalability. The course covers the whole lifecycle of DevOps processes for machine learning including Continuous Integration (CI) for data and code processing, Continuous Delivery (CD) for models, and Continuous Monitoring (CM) for performance evaluation. A wide range of widely-used technologies will help you become skilled in how to automate the process of model creation and deployment. If you are a Data Scientist interested in launching your product or a DevOps Engineer trying to enter the sphere of AI, this course will give you all the necessary information for working in this sphere.
Who is this course for?
Full Curriculum
Containerization & Orchestration
Continuous Integration & Deployment (CI/CD)
Cloud MLOps & Managed Platforms
Capstone Project & Professional Prep
Skills Student Will Learn
- MLOps Lifecycle
- Docker & Kubernetes
- MLflow
- Data Version Control (DVC)
- CI/CD Pipelines
- Model Monitoring
- Drift Detection
- Automated Retraining
- Cloud ML Services (AWS/GCP/Azure)
- API Development (FastAPI/Flask)
Topics Student Will Learn
- Design and implement a complete MLOps pipeline from data to deployment.
- Automate model training and versioning using MLflow and DVC.
- Containerize ML models using Docker for consistent cross-platform deployment.
- Monitor models in production to detect and remediate performance drift.
- Build automated CI/CD workflows specifically for machine learning projects.
- Deploy scalable ML endpoints using Kubernetes and Cloud ML services.
Requirements
- Fundamental knowledge of Machine Learning algorithms.
Frequently Asked Questions
DevOps focuses on software code, while MLOps adds the complexity of Data and Model versions, which change independently of the code.
Model drift is when the accuracy of your model decays over time because the real-world data has changed compared to the data used for training.
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