About Certified MLOps Engineer (CMOE) DS2160
The CMOE program is the bridge between the creative world of data science and the rock-solid world of IT operations. This isn't just a course about writing scripts; it’s a deep dive into how you keep artificial intelligence healthy in a live environment. We focus on teaching you the skills needed to automate the entire lifecycle of a model—from the first line of code to the final deployment. Sprintzeal’s mlops engineer course gives you a hands-on path to mastering the tools that make AI scale, like Docker, Kubernetes, and MLflow. By connecting dev-ops logic to machine learning needs, we ensure you walk away as the person who can turn an experimental model into a reliable business asset. This IABAC-backed program ensures you are ready to lead the next wave of AI infrastructure.
Certified MLOps Engineer (CMOE) DS2160 Key Features
100% Satisfaction Guarantee
Get Benefits
Why is right now the best time to join an mlops bootcamp?
Mode Of Training
Austin TX
Corporate Training
- We can customise the training
- Flexible pricing options
- 24x7 learner assistance and support
- We can deliver both In-Person or Live Online
- Pay after the training completion
Download Course Agenda And Company Brochure
Course Agenda
Company Brochure
This IABAC-backed program is a specialized look into the "behind-the-scenes" work that makes AI actually function for a business. We don't just talk about the math; we show you the actual certified mlops engineer workflow that pros use to keep systems running 24/7. You’ll explore how to take a raw model and wrap it in the automation needed to let it live, grow, and update itself without human intervention.
We focus heavily on practical automation over abstract theory. You’ll learn how to structure your pipelines so they are fast, reliable, and ready to be used in a live cloud environment. By the time you finish your training, you’ll be comfortable handling version control for data and models, ensuring that every update is as smooth as the last. It’s a perfect mix of DevOps grit and data science intuition that turns you into a specialized professional.
MLOps Engineer Course Description
Our specialized mlops engineer certification provides a complete view of how the machine learning lifecycle actually works in the wild. We move beyond simple academic scripts and show you how to build professional-grade pipelines that can handle real-world data noise. You’ll learn how to manage infrastructure using cloud platforms like AWS or Azure, choose the right container tools like Docker, and test your systems to make sure they are secure under pressure.
The curriculum also dives into the "ugly" side of the job—the actual challenges of monitoring performance and managing data drift. You’ll learn how to handle privacy rules, ethical hurdles, and the difficulties of keeping models accurate as the world changes. By the end of this mlops career path training, you’ll be a versatile expert who can build, test, and launch AI tools that actually work when real-world production is on the line.
This program is built around these six practical goals to make sure you are ready for the job:
- Master Data Management:
Learn to version and store data and models properly. - Build Automated Pipelines:
Set up CI/CD workflows specifically for machine learning tasks. - Monitor Real-Time Health:
Track model performance and logs to catch errors early. - Validate with Rigor:
Perform unit and integration tests to ensure system stability. - Scale with Cloud Power:
Use Docker and Kubernetes to handle increasing data volumes. - Secure the Infrastructure:
Navigate the ethical and privacy risks of live AI systems.
When you finish this training, you’re walking away with a toolkit that is in massive demand globally. You’ll be able to:
- Build automated pipelines that move models from development to production instantly.
- Optimize complex AI infrastructure to make it faster and more cost-effective.
- Explain the "why" behind model failures to leadership using clear logs and data.
- Handle the specific security and privacy challenges unique to the cloud world.
- Present your findings in a way that helps companies build more stable and reliable AI.
Right now, the tech world is in a panic because they have thousands of models but no one to run them. Whether it’s a streaming giant or a medical startup, every company is looking for an mlops engineer. This certification proves you are part of that small group who knows how to make AI stay alive in the real world.
Once you’ve mastered these skills, you’ll be ready for high-impact roles such as:
- MLOps Engineer: You’ll be the one building and maintaining the automated highways that AI models travel on.
- ML Infrastructure Architect: Instead of just coding, you’ll be designing the massive cloud systems that power a company’s entire AI strategy.
- AI Reliability Engineer: You’ll be telling the story of your system’s health through numbers, spotting trends in performance that others miss.
- DevOps Lead (AI/ML): You'll be mapping out exactly how a company should scale its tech stack to handle the future of intelligence.
Exam Pattern and Structure
- Exam Name: Certified MLOps Engineer (CMOE)
- Exam Code: DS2160
- Format: Computer-based Multiple-Choice Questions (MCQs).
- Question Count: 25 questions with three levels of difficulty.
- Time: You have 60 Minutes to finish.
- To Pass: You need a score of 60% or higher.
- Exam Mode: Closed book with webcam and screen recording.
- Results: Preliminary results in 9 days; official results within 15 days.
Complete Course Syllabus Breakdown
- Part 1: Introduction to MLOps and the need for DevOps in AI
- Part 2: Data and Model Management (Versioning and Metadata)
- Part 3: Machine Learning Lifecycle Management (Development to Deployment)
- Part 4: Automation and CI/CD Pipelines for ML Workflows
- Part 5: Monitoring and Logging (Real-time Model Performance)
- Part 6: Model Validation and Testing (Unit and Integration Checks)
- Part 7: Infrastructure and Deployment (Docker, Kubernetes, Cloud)
- Part 8: Ethics, Privacy, and Security in the MLOps World
- Part 9: Hands-on with MLOps Tools (MLflow, Kubeflow, DVC)
- Part 10: Case Studies and Industry Best Practices
Certification Validity and Prerequisites
Your CMOE badge is a specialized credential that proves your technical expertise. While there are no mandatory certificates required to start, having a handle on DevOps, IT Architecture, or basic Machine Learning will help the advanced concepts click much faster. Like other IABAC credentials, your digital certificate is easily verifiable and recognized by top-tier global organizations.
Continuous Learning
Getting your certificate is a huge win, but in the MLOps world, the ground is always shifting. New container tools and automated frameworks come out every year. We encourage you to stay close to the IABAC community to keep your edge. It’s about more than just a badge; it’s about making sure your strategies for things like model monitoring and cloud scaling stay sharp for 2026 and beyond.
Request More Information
Participant Reviews
Your career is our goal. We care for your professional empowerment. Don’t take it from us. Find out what our participants say about our service!
.webp)
Marc Yost 5
Jan 13th, 25
Account Executive at Kymera
This class was extremely helpful. Our instructor Estephania did a great job of explaining the material and answering questions we had.
Anjushree Bangre 4
Feb 17th, 25
Certified Lean Six Sigma Black Belt | Process Engineer at Novelis
The training was good. It would be great with some case studies on important concepts. The practical examples of concepts would be better rather than just the concept definitions. Thanks, Akhil for providing me with the training.
Karen Mummaw 5
Jul 30th, 25
Chief Operating Officer at The Prospective Group
It was an excellent Bootcamp that provided a solid foundation/framework for PMP. I was hesitant to take a virtual course, but the limited size of the class and the excellent instruction made me a believer in virtual classes.
Bandar Al Jasser 4
Mar 25th, 25
Continuous Improvement Manager
The facilitator, Ms. Noor Zohara was extremely helpful and made our life easy in registration any queries or information about the course. She is very organized, friendly and supportive of the applicants. The speaker Mr. Mohammad Al Rumaih, was knowledgeable, very nice, informative, skillful, highly professional and really made it real with real-life examples. We are feeling that we are confident enough to take the exams and start our own project management. There are some areas for improvement in the venue it’s relatively small, hot water is not available all the time for making hot beverages. Otherwise, everything was fine and thanks again. I will definitely repeat my experience with sprintzeal again and again.
Ravi Kumar 5
Mar 13th, 25
Change Implementation Analyst
The firm is very welcoming and the exam for the ITIL v4 itself went really well. the provide excellent learning materials and real-time examples in the videos to understand the concepts.
Shaun McE. 5
Feb 26th, 25
Senior Manager, IT Business Enablement & Success
Bahwna was a wonderful trainer for the Foundation Certification course. Her approach is conversational and she makes sure to tie the concepts to "your world". She even makes you write concepts down! Based on her facilitation I'd recommend the course to others.
Aboje Shedrack Arome 5
Apr 10th, 25
IT Support Engineer
My overall experience taking the CompTIA A+ with sprintzeal was great ! this is my first online training experience and they made it as easy as possible for me. The materials they provided is very rich in content and easy to understand no matter your educational background. I want to commend my Trainer Vidyasagar Chaudhary who is very patient and also very detailed in his teachings . I will recommend sprintzeal anyday to anyone who is looking to get a CompTIA A+ certification and I can assure you will be well grounded by the quality of training you will get .
David Carnell 5
Jan 18th, 25
Healthcare Project Manager
I was very pleased with my PMP trainer and the content and materials. The slides were very well done and logical so you could learn the subject matter looking at the slides and listening to the trainer. The trainer was very patient and thorough in making sure that I understood the subject matter and made sure any questions i had or uncertainty was addressed. I am very pleased with my PMP training experience.
Liza Barrick 4
Jul 2nd, 25
Project Development Officer
Overall, the course was highly in depth and interactive. The instructor had a great knowledge of the topic and explained the content in full. While the instructor was great, I did have a hard time understanding their accent and spent a decent amount of time trying to understand what was said rather than the content. Ultimately, I will have to re-listen to the recordings or teach myself the content I did not understand. I did have a few issues regarding the preparation of the program. It would be beneficial to the student to know exactly what the program will entail and what is expected of them such as: what technology is required, the level of participation, and the expected schedule of the program. The support team answered emails quickly, and sent out the recordings in good time. I believe this was a good experience to have and to prepare for the PMP test.
Victor Cobile 5
Feb 20th, 25
Management and Program Analyst at Logistics Readiness Center
Mr. Biswa has been a very thorough instructor providing a very comprehensive training on Program Management. It has been a pleasure learning from him and look forward to taking more courses under Sprintzeal for related topics on Program Management. I will take what I have learned from him and Sprintzeal to my workplace and maybe apply some of the lessons in the area of Procurement Management. I feel also that I am maybe 60% percent ready to take the exam but will be close to 100% by the time I read more course materials and study for it. Thank you for the learning experience and look forward to learning some more.
Unlike some other data science paths, the CMOE exam is a timed, computer-based test with 25 multiple-choice questions. It’s designed to see how well you understand the logic and the tools under pressure. Because it's closed-book, it really proves to employers that you know the material by heart.
You don’t need to be a professor, but you should be comfortable with the "logic" of systems. If you understand how a basic app works and have a bit of Python or DevOps knowledge, we’ll show you how to apply that to the world of machine learning.
Yes. We make sure our curriculum includes the latest 2026 trends. You’ll dive into how AI infrastructure is currently being managed using tools like Docker and Kubernetes on major platforms like AWS, GCP, and Azure.
Frequently Asked Questions
We don't just teach from a book. Our instructors are actual pros who build these systems for a living. Because we focus on the skills you actually use on the job, you can trust that our methods are designed to help you master the material quickly and effectively.
Definitely. We know your schedule is likely busy, so we offer weekend sessions and evening live meetups. You can build your future in AI infrastructure without having to step away from your current role and paycheck.
You won't be left alone to figure it out. Our cloud labs come with 24/7 help. If a script isn't running or a container won't deploy, our mentors are a quick message away to help you troubleshoot until everything clicks.
As soon as you wrap up your training sessions, we’ll get your course completion certificate over to you right away. This is your "green light" to take the IABAC exam. Once you clear that final step, you’ll hold a globally recognized specialization.
Corporate Training Solution
Looking for a personalized Corporate Training for a group at your preferred location?
Our Accreditations
USA : +1 315-666-4287
UK : +44 7700 174870
IND : +91 90361 08389
AUS : +61 480 005 455