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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Columbus IN
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- We can deliver both In-Person or Live Online
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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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SEAN J DAVIS 5
Jun 20th, 25
Senior System Engineer
ITIL V4, The training has detailed, it can be a bit better with more interactive session and relevant real time easy to understand examples for people who get this as the first hand experience.
Robert Porto 5
Jul 9th, 25
Software Engineer
I have had a great experience with my AWS training with Sprintzeal. Originally the trainer I had my first training batch with, was a bit difficult for me to understand. She was honestly very knowledgeable but I couldn't grasp the concepts with her style. I reached out to Jason Caldwell/Leonard Paul about my early learning experience. I was incredibly pleased that I was moved to another trainers training batch. My new trainer (Paul Oyola) was easy for me to understand at a pace that was better fit for me. Paul was not only friendly from day 1 but remained that way throughout all of the classes. He was incredibly patient, knowledgeable, and efficient. If Paul didn't have an answer to a question one of the students asked, Paul would search for an answer and provide us with more information. I haven't taken the AWS exam yet, but I am confident I will pass and look forward to letting Paul know. I am so happy that I chose Sprintzeal for my AWS training. I am also pleased with the patience and customer service I received from the time Leonard Paul reached out to me to the time Jason Caldwell and Alex Wood assisted me as needed. Great experience all the way around!
Jonah Carroll 4
Aug 21st, 25
IT Support Tier 1
The trainer did well covering a wide range of topics in 4 days, although I would have liked some more real-life representations of what was being shown.Perhaps VMs, or examples of how viruses work in a real-to-life environment.Aside from that, I thought the course was very informative and helped build a framework for an understanding of Security+. We were also provided 12 hours of CompTIA labs that I think will be a HUGE help.
Eric Williams 4
Jan 23rd, 25
Project Manager at Yinlun TDI, LLC
Material is tough but the training and tools provided were good.
Lance Meyer 5
Apr 1st, 25
Network Administrator
Great practical application and 1-1 training
The training was virtual and thus I was expecting a 'room' full of people. However it was just the instructor (Sonu Verma) and I. This made it much easier to tailor the instruction to my background and learning style and to go faster through material that I was already comfortable with.
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.
Christi Sifri 4
Jun 14th, 25
CHIEF NURSE EXECUTIVE | GLOBAL CLINICAL PROGRAM DIR ORG & STAFF LEADERSHIP | CLINICAL RESEARCH| REGULATORY COMPLIANCE
Dani is a very knowledgeable project manager, with real-life experiences and stories. He was able to take the slides provided by Sprintzeal and know if they were from PMBOK 5 or PMBOK 6, what was enhanced, what was deleted, and apply an example that made sense to the topic. Dani's biggest challenge was the GoToMeeting process and landing back on the slide deck after providing additional information to teach a particular point. It is challenging to teach people on different coasts, but he was able to and respect the time difference.
Review of Sprintzeal: Alex reached out to me and walked me through the entire registration process, answering all of my questions and there were many. I was supposed to have a live class, but because I ended up being the only person that did not cancel they transferred me into an on-line class and have offered an additional class to make up for that. I received my PMBOX 6 book ahead of class and found everything very straight forward. I hope that the three mock tests and assistance in completing my application are as clear and efficient as the rest of this has been.
I have 4 stars for the slide reading and technical challenges to date.
Thank you - Christi
Pamela Sue Raitz-Rocho 5
Jun 5th, 25
System Engineer
I took the certification program CompTIA security+. I really enjoyed the course. The facilitator was very knowledgeable and thoughtful in explaining concepts. I do wish there were more live sessions. I don't think 8 is enough to fully prepare for the CompTia test.
Sumit Verma 5
Mar 14th, 25
Senior IT Project Manager
Course name: ITIL® 4 Foundation
The trainer addressed each and every doubt/concerns raised by the group. He also ensured the entire course material is covered during this 2 days session. displayed solid communication skill and subject expertness. Thank you very much.
Sean Davis 5
Jun 12th, 25
Navy Veteran IT Professional
I had the opportunity to take the ITIL 4 Foundations course through Sprintzeal and it was a great experience. My instructor was Courtney, and I feel she prepared me to take and pass the exam on my first attempt. Courtney is very knowledgeable, and her instruction method was conducive for a positive learning environment. I will request her in the future as I plan to expand on my knowledge in ITIL. Alex was vital in my successful enrollment and always a trusted agent to aid in my self development plan. Sprintzeal is a great organization to aid in your ability to better yourself through expert instruction.
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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