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
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Chicago IL
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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.
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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!
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Terence Bourke 5
Jun 14th, 25
Senior Consultant, Info Technology
My trainer Dan Chauncey was extremely helpful with practical experiences that he conveyed regarding several of the questions that I had. The information is extensive. And the tools that have been provided are very detailed and understandable. Thorough training. Looking forward to more in the future.
Josh Rhie 5
Sep 1st, 25
IT Manager
Awesome teacher and mentor!
Lon Chin 5
Mar 5th, 25
Ass't Director - IT Security at US GAO
CISA Review - Good class and instructor. Would recommend.
Benjamin Choo 5
Mar 15th, 25
Senior IT Project Manager
It was a great experience learning CompTIA A+ with the trainer. Thank you for all the effort you put while teaching us
Dhuha Qazwini 5
Mar 5th, 25
Logistics and procurement Analyst
I'm glad I discovered SprintZeal on my journey to getting the PMP Certification and Lean Six Sigma Green Belt Certification. Their PMP Certification Exam Prep course and resources (videos, practice exams) are very effective and helpful. The teachers and support staff are top-of-the-line. When I have questions, I get almost instantaneous replies from the support focal (even during the holidays). The Lean Six Sigma Green Belt Certification on-line course is easy to comprehend. The on-line course gives me flexibility as I can take it anytime, on my own schedule. I look forward to taking the exams and getting my certification!
Archana Kalwani 5
May 23rd, 25
Business Analyst at Allianz Partners
I have completed my six sigma green belt training. The admin staff, support team and the trainer were very helpful and flexible. The trainer was very good and helped understand the concepts well. Thank you for all the support.
Indigo Yarkindell 5
Aug 13th, 25
IT Engineer
Sprintzeal provides broad in depth security+ training that will enhance your computer security awareness. Their class, training materials, and labs provide all the study materials for the test certification and the have answered all of our questions and input.
Abdulkarim Hallak 5
Jan 16th, 25
Facility In Charge / Senior Supervisor at Warehousing & Logistics Services Co LSC
Very beneficial and supportive
Hamzah Kchour 5
Jul 11th, 25
System Engineer
I cannot express how great the instructor was and the overall content of the material. The way he taught was very clear in his method of teaching and provided a wealth of information about the CompTIA Network+. All my questions were answered and the class interaction was very good.
Ohiorenua Ahanmisi 5
Mar 4th, 25
Water/Wastewater Process Design Specialist
It was a really insightful and resourceful training session on the lean six sigma green belt. The trainer swati was very knowledgeable on the lean six sigma concept and was able to transfer the knowledge across effectively. I would recommend sprintzeal to my colleagues and friends.
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.
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