Introduction: The Importance of MLOps in the AI Era
Machine Learning (ML) and Artificial Intelligence (AI) are transforming industries, from healthcare and finance to retail and manufacturing. Yet, the real challenge is not building models—it’s deploying, scaling, and managing them efficiently in production.
MLOps (Machine Learning Operations) bridges this gap by combining ML with DevOps best practices, ensuring models run reliably, efficiently, and at scale.
The MLOps Foundation Certification from DevOpsSchool is designed to provide learners with a strong foundation in MLOps concepts, workflows, and practical applications, making it an ideal starting point for anyone pursuing a career in ML operations.
What Is MLOps and Why It Matters
MLOps integrates Machine Learning, DevOps, and Data Engineering to automate and optimize the entire ML lifecycle—from experimentation to deployment and monitoring.
Key Benefits of MLOps
- Ensures reproducibility of ML experiments
- Automates deployment with CI/CD pipelines
- Monitors models for drift, performance, and reliability
- Facilitates collaboration between data science and operations teams
MLOps vs Traditional ML Workflow
| Feature | Traditional ML | MLOps Approach |
|---|---|---|
| Deployment | Manual, error-prone | Automated CI/CD pipelines |
| Monitoring | Minimal | Real-time monitoring and alerts |
| Collaboration | Siloed teams | Integrated DevOps & ML collaboration |
| Scalability | Hard to scale | Cloud-native, scalable pipelines |
| Governance | Difficult to audit | Complete traceability and reproducibility |
About DevOpsSchool – Global Leader in Professional Training
DevOpsSchool is a leading global platform providing certifications and hands-on training in DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and Cloud technologies.
Known for its project-based approach, DevOpsSchool has trained thousands of professionals worldwide, helping learners acquire job-ready skills and achieve industry-recognized certifications.
The MLOps Foundation Certification is an ideal starting point to understand the core principles of MLOps and prepare for advanced certifications in ML and AI operations.
Meet the Mentor – Rajesh Kumar
The program is guided by Rajesh Kumar, a globally recognized trainer and practitioner in DevOps, MLOps, AI, and Cloud technologies.
Rajesh Kumar’s Expertise
- 20+ years of experience across DevOps, MLOps, SRE, DataOps, AIOps, and Cloud
- Mentored 100,000+ professionals and 500+ corporate teams globally
- Hands-on experience with Kubernetes, MLflow, Docker, CI/CD pipelines, TensorFlow, and cloud platforms
- Recognized as a thought leader in modern ML operations and automation
With Rajesh Kumar’s mentorship, learners gain practical insights, industry best practices, and hands-on skills to excel in MLOps roles.
MLOps Foundation Certification – Course Overview
The MLOps Foundation Certification equips learners with the foundational knowledge and practical skills to work on ML pipelines, automate workflows, and understand the lifecycle of ML models.
Key Features
- Comprehensive coverage of MLOps concepts and workflows
- Hands-on learning with practical exercises and projects
- Live instructor-led sessions for interactive learning
- Flexible schedules with online and weekend batches
- Globally recognized certification upon completion
Course Modules
| Module | Topics Covered |
|---|---|
| Introduction to MLOps | Importance, architecture, and lifecycle |
| ML Workflow Automation | CI/CD, pipelines, and versioning |
| Experiment Tracking | MLflow, reproducibility, and model registry |
| Model Deployment Fundamentals | Docker, Kubernetes basics, cloud deployment |
| Monitoring & Governance | Model drift detection, logging, compliance |
| Hands-On Projects | Real-world examples from healthcare, finance, and e-commerce |
Who Should Enroll?
This certification is perfect for professionals looking to build a career in MLOps or AI operations, including:
- Aspiring MLOps Engineers
- Data Scientists and ML Engineers
- DevOps professionals expanding into ML workflows
- Cloud and AI Infrastructure specialists
- Software developers interested in AI deployment
It also serves as a strong foundation for advanced certifications and practical ML experience.
Benefits of MLOps Foundation Certification
| Benefit | Details |
|---|---|
| Industry-Relevant Skills | Learn foundational MLOps concepts used in enterprises |
| Hands-On Projects | Build ML pipelines, automate workflows, and deploy models |
| Expert Mentorship | Guidance from Rajesh Kumar, an industry expert |
| Career Growth | Opens opportunities in MLOps, AI, and Cloud roles |
| Global Recognition | Foundation-level certification recognized worldwide |
| Flexible Learning | Online live and weekend batches to suit professionals |
Career Opportunities After Certification
Completing the MLOps Foundation Certification prepares learners 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 |
Why Choose DevOpsSchool?
- ✅ Mentorship by Rajesh Kumar, a globally recognized MLOps & DevOps expert
- ✅ Hands-on practical learning with real ML pipeline exercises
- ✅ Industry-aligned curriculum, foundation for advanced certifications
- ✅ Flexible online and weekend learning options
- ✅ Globally recognized certification to boost your career prospects
Testimonials
“The MLOps Foundation course gave me a strong start in understanding ML workflows. Rajesh Kumar’s mentorship and practical exercises were invaluable.”
— Ankit S., Data Engineer
“This course helped me gain confidence in deploying ML pipelines and understanding the full MLOps lifecycle. Highly recommended!”
— Priya R., ML Engineer
Enroll Today—Start Your MLOps Journey
Kickstart your MLOps career with the MLOps Foundation Certification by DevOpsSchool. Gain foundational knowledge, practical experience, and expert guidance to succeed in AI and ML operations.
Contact DevOpsSchool
- Email: contact@DevOpsSchool.com
- Phone & WhatsApp (India): +91 99057 40781
- Phone & WhatsApp (USA): +1 (469) 756-6329
- Website: www.DevOpsSchool.com
