In today’s data-driven world, Machine Learning Operations (MLOps) has become one of the most sought-after skills for data scientists, DevOps engineers, and AI practitioners. As organizations strive to scale their machine learning models and automate workflows, the need for professionals trained in MLOps best practices is skyrocketing.
This is where the MLOps Certified Professional Course by DevOpsSchool stands out as a comprehensive, career-transforming program — designed and mentored by Rajesh Kumar, a globally renowned DevOps, Cloud, and AI expert with over 20 years of hands-on industry experience.
What Is MLOps and Why Does It Matter?
MLOps (Machine Learning Operations) is the combination of Machine Learning, DevOps, and Data Engineering principles aimed at automating and streamlining the entire machine learning lifecycle — from model development and deployment to monitoring and governance.
MLOps bridges the gap between Data Science and Operations teams by enabling:
- Continuous Integration and Continuous Deployment (CI/CD) for ML models
- Automated testing and monitoring
- Scalable model deployment across environments
- Governance and reproducibility of ML experiments
Why MLOps Is a Game-Changer
| Aspect | Traditional ML Workflow | MLOps Workflow |
|---|---|---|
| Deployment | Manual, error-prone process | Automated pipelines |
| Collaboration | Data scientists work in silos | Cross-functional collaboration |
| Monitoring | Limited model visibility | Real-time monitoring & feedback |
| Versioning | Manual model tracking | Automated version control |
| Scalability | Difficult to scale models | Seamless model scalability |
MLOps empowers organizations to transform experimental ML projects into production-grade systems, ensuring reliability, reproducibility, and faster time-to-market.
About DevOpsSchool – The Premier Training Platform
DevOpsSchool.com is one of the most respected global platforms for DevOps, DevSecOps, SRE, AIOps, DataOps, and MLOps training and certification programs.
With a learner community spanning across India, the USA, Europe, and the Middle East, DevOpsSchool is known for its practical, instructor-led, and project-based training approach.
The MLOps Certified Professional course reflects DevOpsSchool’s commitment to industry relevance and excellence.
Meet the Mentor – Rajesh Kumar
The course is led by Rajesh Kumar, a globally acclaimed DevOps and Cloud Transformation leader with:
- 20+ years of industry experience in DevOps, SRE, AIOps, DataOps, and MLOps
- Expertise across tools like Jenkins, Docker, Kubernetes, MLflow, TensorFlow, AWS, Azure, and GCP
- Proven record of mentoring 100,000+ professionals and 500+ corporate teams worldwide
- Recognition as one of the top DevOps thought leaders and global trainers
Rajesh Kumar’s mentorship ensures that learners gain deep theoretical understanding and practical project experience — essential for mastering MLOps at scale.
MLOps Certified Professional Course Overview
Course Highlights
- Comprehensive Curriculum: Covers fundamentals to advanced MLOps concepts
- Hands-on Labs: Real-time projects using tools like MLflow, Airflow, Docker, and Kubernetes
- Live Instructor-Led Training: Interactive sessions with expert guidance
- Certification: Globally recognized MLOps certification by DevOpsSchool
- Flexible Learning: Available in both online and in-person formats
Course Modules
| Module | Topics Covered |
|---|---|
| 1. Introduction to MLOps | MLOps concepts, architecture, and lifecycle |
| 2. Environment Setup | Python, Docker, Kubernetes, and CI/CD tools |
| 3. Model Building & Training | ML pipeline automation, experiment tracking |
| 4. Model Deployment | Continuous deployment with MLflow, TensorFlow Serving |
| 5. Monitoring & Governance | Model drift detection, logging, and compliance |
| 6. Case Studies & Projects | Real-world use cases from finance, healthcare, and retail |
By the end of the course, participants are equipped to design, deploy, and manage scalable AI and ML production systems efficiently.
Who Should Enroll in This Course?
This certification is ideal for professionals looking to expand their careers into AI, ML, or automation domains.
Recommended for:
- DevOps Engineers
- Data Scientists and Analysts
- Machine Learning Engineers
- Cloud Architects
- Software Developers
- AI Enthusiasts
Whether you’re transitioning from DevOps or Data Science, this course helps you gain a competitive edge in the AI-driven future.
Key Benefits of the MLOps Certified Professional Program
| Benefits | Details |
|---|---|
| Industry-Relevant Curriculum | Updated regularly to match enterprise MLOps standards |
| Hands-on Projects | Real-world projects using MLflow, Kubeflow, Docker, Jenkins |
| Expert Mentorship | Direct sessions and guidance by Rajesh Kumar |
| Global Recognition | Certification valued by top enterprises globally |
| Career Advancement | Opens opportunities in AI, ML, and automation |
| Flexible Schedule | Attend from anywhere with online and weekend batch options |
Career Opportunities After MLOps Certification
The demand for MLOps professionals has surged as companies aim to operationalize AI at scale.
Top Job Roles
- MLOps Engineer
- Machine Learning Engineer
- DataOps Engineer
- AI Infrastructure Engineer
- Cloud ML Specialist
- DevOps for ML Engineer
Average Salary Range
| Role | Average Annual Salary (INR) | Global Average (USD) |
|---|---|---|
| MLOps Engineer | ₹10–20 LPA | $100,000 – $150,000 |
| DataOps Engineer | ₹8–18 LPA | $90,000 – $130,000 |
| ML Engineer | ₹9–22 LPA | $95,000 – $140,000 |
With MLOps becoming a core competency for organizations across sectors, certified professionals enjoy rapid career growth and international mobility.
Why Choose DevOpsSchool for MLOps Training?
Here’s why professionals and enterprises prefer DevOpsSchool for their upskilling journey:
- ✅ Industry-backed Curriculum aligned with current enterprise demands
- ✅ Real-time Projects ensuring job-ready skills
- ✅ Lifetime Access to course materials and community support
- ✅ Globally Recognized Certification endorsed by industry experts
- ✅ Mentorship by Rajesh Kumar, one of the pioneers in the DevOps & MLOps ecosystem
“At DevOpsSchool, we believe in learning by doing. Our MLOps training focuses on solving real-world problems using modern tools and scalable architectures.”
— Rajesh Kumar, Chief Mentor
Testimonials from Learners
“The MLOps course by DevOpsSchool transformed my understanding of AI operations. Rajesh Kumar’s mentorship made complex topics crystal clear.”
— Ankit S., Data Engineer
“From zero MLOps knowledge to deploying real ML pipelines – this course was a game changer for my career.”
— Priya R., ML Engineer
Enroll Today and Build the Future of AI!
If you want to master MLOps and accelerate your AI career, the MLOps Certified Professional course is your ideal next step.
Start your journey with DevOpsSchool, guided by Rajesh Kumar, and unlock the skills to build, deploy, and manage ML systems at scale.
📞 Contact DevOpsSchool
- Email: contact@DevOpsSchool.com
- Phone & WhatsApp (India): +91 99057 40781
- Phone & WhatsApp (USA): +1 (469) 756-6329
- Website: www.DevOpsSchool.com
