In today’s data-driven world, MLOps (Machine Learning Operations) has become the foundation for businesses seeking to operationalize AI and machine learning at scale. As organizations push to rapidly develop, deploy, and maintain powerful ML models, the need for professionals trained in MLOps practices has skyrocketed.
This is exactly where the MLOps Foundation Certification comes in — offering a globally recognized, expertly structured training that bridges the gap between AI innovation and real-world operational performance.
Why MLOps Skills Are in High Demand
Machine Learning is no longer confined to research labs — it now drives automation, efficiency, and smarter decision-making across industries. However, deploying these models in production environments introduces new challenges: continuous integration, scalability, compliance, and monitoring.
The MLOps Foundation Certification prepares you to handle these challenges by merging DevOps principles with machine learning workflows. Whether you’re a data scientist, DevOps engineer, or ML engineer, mastering MLOps ensures you can deliver scalable, reliable, and compliant ML models.
What You Will Learn in the MLOps Foundation Certification
The course is designed around practical learning, hands-on labs, and real-world case studies to help participants gain holistic MLOps expertise.
Key Learning Topics:
- Understanding MLOps fundamentals and its integration with DevOps pipelines.
- Model versioning and governance, ensuring reproducibility of ML models.
- CI/CD for machine learning, automating model deployment workflows.
- Model monitoring and drift detection to maintain long-term performance.
- Automation of end-to-end ML pipelines, from data collection to model rollout.
- Compliance and auditing, ensuring all ML operations meet global standards.
Practical Tools Covered:
Participants gain hands-on experience with leading MLOps tools:
- Kubeflow, MLflow, and TensorFlow Extended (TFX) for workflow orchestration.
- Docker, Kubernetes, and Terraform for scalable deployment environments.
- Cloud-native MLOps platforms for production-grade ML management.
Course Structure & Delivery Method
The MLOps Foundation Certification follows a flexible, five-day format catering to professionals worldwide. Learners can choose between online instructor-led sessions or corporate classroom training.
Course Format Breakdown
| Module | Focus Area | Weightage |
|---|---|---|
| 1 | Understanding the problems | 5% |
| 2 | Concept discussion | 10% |
| 3 | Demos | 25% |
| 4 | Labs & Exercises | 50% |
| 5 | Assessments & Projects | 10% |
Each session combines conceptual learning with real-time demonstrations and labs conducted on AWS Cloud. This practical orientation ensures you’re not only learning the theories but also mastering real deployment strategies.
Global Timing Options
| Day | IST (India) | PST (USA) | EST (USA) | CET (Europe) | JST (Asia) |
|---|---|---|---|---|---|
| Monday–Thursday | 9:00 PM – 11:00 PM | 7:30 AM – 9:30 AM | 10:30 AM – 12:30 PM | 4:30 PM – 6:30 PM | 12:30 AM – 2:30 AM (next day) |
| Friday–Sunday | 9:00 AM – 11:00 AM | 7:30 PM – 9:30 PM | 10:30 PM – 12:30 AM | 4:30 AM – 6:30 AM | 1:30 PM – 3:30 PM |
This flexibility ensures professionals from all time zones can participate conveniently.
Why Choose DevOpsSchool for MLOps Training
DevOpsSchool is a global leader in DevOps and emerging tech training, offering industry-recognized certifications with lifetime support and learning access.
Here’s why thousands of learners trust DevOpsSchool:
| Feature | DevOpsSchool Advantage |
|---|---|
| Lifetime Learning Management System (LMS) Access | Continuous access to videos, notes, and materials |
| Lifetime Technical Support | Trainers respond to queries within 24 hours |
| Interview Preparation Kit | Tools, sample projects, and practice tests |
| Instructor-Led Interactive Sessions | Live discussions and hands-on labs |
| Post-Training Resources | Cloud-based exercises and practice modules |
| Guidance by Global Expert Rajesh Kumar | Mentorship by a 20+ year industry veteran |
Mentorship by Industry Leader — Rajesh Kumar
The MLOps Foundation Certification is led and mentored by Rajesh Kumar, one of the most respected names in the fields of DevOps, DevSecOps, SRE, MLOps, DataOps, and Cloud Technologies.
Rajesh brings over two decades of hands-on experience in implementing real-world MLOps and AI infrastructure solutions. His interactive teaching approach focuses on simplifying complex concepts while enabling learners to apply MLOps practically in enterprise environments.
Benefits of Getting Certified
By earning the MLOps Foundation Certification, you gain tangible career and organizational advantages:
- Accelerate your ML projects through better automation and CI/CD integration.
- Ensure model reliability and maintain performance across environments.
- Strengthen cross-functional collaboration between data science and operations teams.
- Guarantee compliance, security, and governance for production ML pipelines.
- Enhance career growth in high-demand areas like AI Operations and MLOps Engineering.
Who Should Attend
This certification is ideal for professionals across multiple domains:
- Data Scientists aiming to productionize models.
- DevOps Engineers exploring AI integration.
- Machine Learning Engineers focusing on operational pipelines.
- IT Professionals managing ML infrastructure.
- Project Managers overseeing AI/ML workflows.
How to Enroll
Enrolling in the is simple. Once you register, you’ll receive a joining kit within 12 hours with all the course details and access credentials.
DevOpsSchool provides multi-format training options — from corporate batches to online live sessions — ensuring convenience for individuals and organizations alike.
Ready to Transform Your ML Career?
If you want to master the art of deploying, monitoring, and managing ML models efficiently, this certification is your gateway to becoming a high-impact MLOps professional.
Reach out today to learn more or register for your upcoming batch.
Contact Details:
📧 contact@DevOpsSchool.com
📞 India: +91 7004215841
📞 USA: +1 (469) 756-6329