In the rapidly evolving world of artificial intelligence and machine learning, staying ahead of the innovation curve is essential. Today, businesses integrate machine learning models into operations more than ever before—but true success depends on how effectively these models are deployed, monitored, and scaled. This is where MLOps (Machine Learning Operations) becomes critical, and no one teaches it better than DevOpsSchool.
Recognized globally as one of the leading platforms for DevOps and MLOps training, DevOpsSchool’s MLOps Foundation Certification is a comprehensive, industry-backed course designed to build strong foundational knowledge and hands-on experience for professionals looking to operationalize machine learning at scale.
Why MLOps Matters in Modern AI Workflows
While data science focuses on building accurate models, productionizing them—ensuring they perform reliably in real-world environments—is a different challenge altogether. MLOps bridges this gap by integrating DevOps principles into machine learning lifecycles to enable rapid experimentation, reproducibility, and continuous delivery.
Key benefits of adopting MLOps include:
- Streamlined model deployment: Faster time-to-market through automation.
- Improved reliability: Continuous monitoring ensures models remain accurate and compliant.
- Better collaboration: Data science and IT operations teams work together seamlessly.
- Governance and compliance: Track, audit, and version models to meet regulatory requirements.
About the MLOps Foundation Certification Course
The MLOps Foundation Certification course by DevOpsSchool equips learners with end-to-end practical knowledge to manage the entire lifecycle of ML models—from data versioning to deployment, monitoring, and governance.
Key Learning Modules
| Learning Objective | Description |
|---|---|
| Understanding MLOps Principles | Learn how MLOps integrates ML with DevOps for streamlined production workflows. |
| Automation of ML Pipelines | Build CI/CD pipelines for training, deploying, and monitoring ML models. |
| Model Versioning & Governance | Ensure reproducibility, compliance, and traceability throughout model evolution. |
| Scalable Deployment | Deploy ML models at scale using containers and orchestration tools like Kubernetes. |
| Performance Monitoring | Master techniques to detect model drift and trigger retraining automatically. |
This blend of theory and hands-on practice prepares participants to implement MLOps effectively within their organizations and tackle real-world production challenges.
Tools and Technologies Covered
The course introduces a wide range of modern tools for managing machine learning pipelines efficiently:
- Kubeflow
- TensorFlow Extended (TFX)
- MLflow
- Docker & Kubernetes
- Terraform
- Cloud-based ML platforms (AWS, GCP, Azure)
By mastering these technologies, learners are equipped to automate ML workflows, monitor performance, and ensure model governance across different infrastructure environments.
Unique Features of the Training
DevOpsSchool’s course stands out because it goes beyond theory, offering real-world exposure and lifetime learning support.
| Feature | DevOpsSchool Advantage |
|---|---|
| Instructor-Led Sessions | Live interactive classes led by experienced industry experts. |
| Hands-On Labs | Real-world scenarios using actual MLOps tools and environments. |
| Flexible Learning Options | Choose between online or instructor-led classroom sessions. |
| Lifetime LMS Access | Permanent access to recordings, slides, projects, and reading materials. |
| Exam Readiness Support | Mock tests and practice questions to prepare for the certification exam. |
| Global Recognition | The certification is accepted by top AI and DevOps employers worldwide. |
Participants also gain lifetime technical support, ensuring continuous learning long after course completion.
Learn from Rajesh Kumar — The Industry’s Leading DevOps & MLOps Expert
The MLOps Foundation Certification is mentored by Rajesh Kumar, a globally recognized DevOps and MLOps leader with over 20 years of experience across automation, cloud, and AI-driven technology operations.
Rajesh’s expertise covers DevOps, DevSecOps, SRE, AIOps, MLOps, DataOps, and Kubernetes. His training is designed to turn theory into actionable skills through hands-on labs, real-world use cases, and practical guidance that helps participants understand how to build and sustain production-ready ML workflows.
Who Should Take This Certification?
This course is ideal for professionals seeking to elevate their MLOps expertise:
- Machine Learning Engineers aiming to automate model deployment.
- Data Scientists looking to operationalize ML models.
- DevOps Engineers expanding their scope into ML infrastructure.
- IT Operations Specialists managing ML environments.
- AI Project Managers and Team Leads overseeing cross-functional ML production efforts.
Why Choose DevOpsSchool?
DevOpsSchool is one of the most respected training institutes in the field of DevOps, Cloud, and AI Operations education. With certifications backed by recognized industry bodies and real-world project exposure, the institute offers a complete ecosystem of learning, mentorship, and career acceleration.
Key differentiators include:
- Expert instructors with multi-domain expertise.
- Corporate-ready training designed for enterprise applications.
- Step-by-step web-based tutorials and interview kits.
- Personalized instructor support and an active forum community.
For learners looking to future-proof their careers, DevOpsSchool’s MLOps Foundation Certification delivers the balance of theory, practice, and mentorship necessary to thrive in this fast-moving field.
Course Duration and Schedule
| Duration | Format | Mode |
|---|---|---|
| 5 Days | Corporate & Individual Batches | Online or Classroom |
| Sessions | Flexible timing for IST, PST, EST, CET, and JST time zones | Instructor-led |
Each session mixes concept exploration, demos, and hands-on labs, concluding with assessments and mini-projects for practical application.
Ready to Advance Your Career in MLOps?
Take the next step toward mastering the art and science of machine learning operations. Whether you are an engineer aiming to scale ML pipelines or an organization looking to train your team, DevOpsSchool provides the most trusted learning platform with expert mentorship.
Start your journey today with the position yourself at the forefront of AI-driven innovation.
Contact DevOpsSchool
Email: contact@DevOpsSchool.com
Phone & WhatsApp (India): +91 7004215841
Phone & WhatsApp (USA): +1 (469) 756-6329