Introduction: Why MLOps Foundation Certification Matters
As AI and Machine Learning (ML) technologies continue to revolutionize industries, organizations face a growing challenge: deploying, managing, and scaling ML models effectively. This is where MLOps (Machine Learning Operations) comes in, bridging the gap between data science, operations, and DevOps practices.
The MLOps Foundation Certification from DevOpsSchool provides learners with the foundational knowledge and practical understanding needed to embark on a career in MLOps. Whether you are a data scientist, ML engineer, or aspiring AI professional, this certification prepares you to contribute effectively to ML projects in production environments.
Mentored by Rajesh Kumar, a globally recognized trainer with over 20 years of experience in DevOps, MLOps, Cloud, and AI, this program ensures a high-quality, industry-relevant learning experience.
What Is MLOps and Its Significance?
MLOps is the practice of combining machine learning, DevOps, and data engineering principles to streamline the lifecycle of ML models, from development to deployment, monitoring, and governance.
Key Objectives of MLOps
- Automate model deployment using CI/CD pipelines
- Track, version, and manage ML experiments
- Monitor model performance and detect drift in production
- Ensure reproducibility, scalability, and governance
Why MLOps Is Critical
| Challenge | Without MLOps | With MLOps |
|---|---|---|
| Deployment | Manual and error-prone | Automated, repeatable CI/CD pipelines |
| Model Monitoring | Limited visibility | Real-time monitoring and alerts |
| Collaboration | Silos between teams | Integrated DevOps and ML workflows |
| Scalability | Hard to scale models | Cloud-native, scalable infrastructure |
| Governance | Difficult to track experiments | Complete reproducibility and audit trails |
By adopting MLOps practices, organizations can accelerate AI projects, improve model reliability, and optimize collaboration across teams.
About DevOpsSchool – Global Leader in Professional Training
DevOpsSchool is a globally recognized platform for training and certifications in DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and Cloud technologies.
With thousands of professionals trained worldwide, DevOpsSchool is known for its practical, hands-on approach and industry-aligned curriculum.
The MLOps Foundation Certification is designed to introduce professionals to the core concepts and workflows of MLOps, preparing them for advanced roles and certification tracks.
Meet the Mentor – Rajesh Kumar
The course is led by Rajesh Kumar (rajeshkumar.xyz), a globally acclaimed trainer and consultant in DevOps, MLOps, AI, and Cloud.
Rajesh Kumar’s Credentials
- 20+ years of industry experience in DevOps, Cloud, SRE, AIOps, DataOps, and MLOps
- Mentored 100,000+ professionals and trained 500+ corporate teams worldwide
- Expertise in Kubernetes, MLflow, TensorFlow, Docker, CI/CD, and cloud platforms
- Recognized as a thought leader in DevOps and AI operations
His mentorship ensures that learners gain both theoretical knowledge and practical, real-world skills required to succeed in MLOps roles.
MLOps Foundation Certification – Course Overview
The MLOps Foundation Certification is designed for beginners and professionals seeking a structured understanding of MLOps principles. The course provides a strong foundation for advancing to more specialized certifications and roles in AI and ML operations.
Key Features
- Comprehensive Curriculum: Covers core concepts, tools, and processes
- Hands-On Learning: Practical exercises using ML workflows and automation tools
- Live Instructor-Led Training: Interactive sessions with real-time guidance
- Certification: Recognized foundation-level credential
- Flexible Learning Options: Online and weekend batches
Course Modules
| Module | Topics Covered |
|---|---|
| Introduction to MLOps | What is MLOps, importance, architecture, and lifecycle |
| ML Workflow Automation | Overview of CI/CD, version control, and ML pipelines |
| Experiment Tracking & Model Management | MLflow, model registry, and reproducibility |
| Deployment Fundamentals | Docker, Kubernetes basics, and deploying ML models |
| Monitoring & Maintenance | Model drift detection, logging, and governance |
| Case Studies & Hands-On Exercises | Real-world examples across finance, healthcare, and e-commerce |
By completing these modules, learners gain the confidence to understand, design, and manage ML workflows in a production-like environment.
Who Should Take This Certification?
This certification is ideal for professionals seeking to enter the MLOps domain or strengthen foundational knowledge:
- Aspiring MLOps Engineers
- Data Scientists & ML Engineers
- DevOps Professionals expanding into ML operations
- Cloud and AI Infrastructure Specialists
- Software Developers exploring AI/ML deployment
It also serves as a stepping stone for advanced certifications and practical ML project experience.
Benefits of MLOps Foundation Certification
| Benefit | Details |
|---|---|
| Industry-Relevant Curriculum | Updated to match enterprise MLOps practices |
| Hands-On Projects | Practice ML deployment, CI/CD, and monitoring |
| Mentorship | Guided by Rajesh Kumar, an industry expert |
| Career Advancement | Opens doors to MLOps and AI-focused roles |
| Global Recognition | Validates foundational MLOps knowledge |
| Flexible Learning | Learn at your own pace with online and live options |
Career Opportunities After Certification
Completing the MLOps Foundation Certification equips learners with foundational skills for roles such as:
- MLOps Engineer
- ML Engineer
- DataOps Engineer
- AI Operations Specialist
- Cloud ML Specialist
Salary Insights
| Role | India (INR) | Global (USD) |
|---|---|---|
| MLOps Engineer | ₹8–15 LPA | $90,000 – $120,000 |
| ML Engineer | ₹9–18 LPA | $95,000 – $130,000 |
| DataOps Engineer | ₹7–14 LPA | $85,000 – $115,000 |
With foundational MLOps skills, professionals can accelerate career growth in AI and ML operations, preparing for advanced projects and higher-level certifications.
Why Choose DevOpsSchool for MLOps Training?
- ✅ Mentorship by Rajesh Kumar – globally recognized trainer in MLOps and DevOps
- ✅ Hands-On Practical Learning – gain real-world experience with ML pipelines
- ✅ Industry-Aligned Curriculum – foundation for future certifications and job-ready skills
- ✅ Flexible Learning Options – online and weekend sessions for working professionals
- ✅ Global Recognition – enhance your resume with a foundation-level MLOps certification
Testimonials
“The MLOps Foundation course was a perfect starting point for me. Rajesh Kumar made complex workflows easy to understand, and the practical exercises were invaluable.”
— Ankit S., Data Engineer
“I gained the confidence to work with ML pipelines in production. The hands-on approach and mentorship were excellent.”
— Priya R., ML Engineer
Enroll Today – Start Your MLOps Journey
Kickstart your career in AI and ML operations by enrolling in the MLOps Foundation Certification program today. Build foundational knowledge, practical skills, and confidence to advance in MLOps and AI-driven roles.
Contact DevOpsSchool
- Email: contact@DevOpsSchool.com
- Phone & WhatsApp (India): +91 99057 40781
- Phone & WhatsApp (USA): +1 (469) 756-6329
- Website: www.DevOpsSchool.com
