Artificial Intelligence (AI) and Machine Learning (ML) have rapidly transformed how businesses operate—driving intelligent automation, predictive analytics, and real-time decision-making. However, as organizations scale their ML initiatives, they face a growing challenge: how to manage, deploy, and maintain machine learning models efficiently. This is where MLOps (Machine Learning Operations) steps in.
If you are an engineer, data scientist, or tech professional seeking to streamline ML workflows and bridge the gap between data science and operations, then DevOpsSchool’s MLOps Certified Professional program is your perfect pathway. Designed under the mentorship of Rajesh Kumar, a global leader in DevOps and MLOps, this program aligns deep theory with real-world automation, taking your ML career to the next level.
Understanding MLOps: The Foundation of Scalable AI
MLOps, short for Machine Learning Operations, is the practice of managing the end-to-end lifecycle of ML models—from data preparation and model training to deployment, monitoring, and governance. It combines DevOps principles with machine learning workflows to achieve automation, scalability, and collaboration between data scientists, ML engineers, and IT operations teams.
The MLOps Certified Professional course offered by DevOpsSchool ensures that participants become proficient in deployment pipelines, CI/CD for ML systems, model versioning, and monitoring tools such as MLflow, Kubeflow, Docker, and Kubernetes.
Key objectives of MLOps include:
- Automation of ML workflows
- Continuous model training, testing, and deployment
- Monitoring model performance in production
- Versioning of models and datasets
- Ensuring compliance and scalability across enterprise environments
Why Choose DevOpsSchool’s MLOps Certified Professional Program?
With a world-class reputation in DevOps and Cloud upskilling, DevOpsSchool equips learners with industry-relevant, hands-on experiences that go beyond textbook learning. This course is a complete, end-to-end MLOps mastery training, carefully designed based on current industry needs and AI implementation trends.
Features That Make DevOpsSchool Stand Out
| Features | DevOpsSchool | Others |
|---|---|---|
| Mentorship by Rajesh Kumar | Global expert with 20+ years of experience | Generic trainers |
| End-to-End MLOps Coverage | CI/CD, Model Monitoring, MLflow, Kubeflow, AWS | Fragmented concepts |
| Real-Time Projects | Projects covering model deployment and automation | Minimal simulations |
| Lifetime LMS Access & Support | Full access to resources and lifetime mentorship | Limited access |
| Interactive Learning Experience | Live training + recorded sessions | Pre-recorded videos only |
| Certification Recognition | Globally recognized DCP-accredited certificate | Typically non-accredited |
From beginner to professional, every participant gains holistic, real-world knowledge of MLOps pipelines, ensuring readiness for dynamic roles in AI-driven enterprises.
A Curriculum Built for The Real World
The MLOps Certified Professional course bridges the technical and operational aspects of ML model management. The training covers core MLOps lifecycle stages — from development to monitoring in production.
Course Overview
| Module | Key Learning Topics |
|---|---|
| Introduction to MLOps | Role and lifecycle of MLOps in ML projects |
| Model Versioning | Tracking models using Git, DVC, MLflow |
| Data Management | Handling datasets and data pipelines |
| Model Deployment | Docker, Kubernetes, and AWS SageMaker integrations |
| Continuous Integration/Deployment (CI/CD) | Automating pipelines with Jenkins and ArgoCD |
| Monitoring and Governance | Model drift detection, Prometheus + Grafana |
| Infrastructure as Code | Terraform implementation for ML infrastructure provisioning |
| Collaboration & Documentation | Automated workflows using Jira and Confluence |
Through hands-on projects, participants deploy and monitor models using cloud-native tools and learn to structure reproducible pipelines for continuous improvement.
Meet Your Mentor: Rajesh Kumar — The DevOps and MLOps Visionary
The training is led by Rajesh Kumar, a globally renowned DevOps and Cloud trainer with over two decades of experience. He has guided 10,000+ learners and assisted global enterprises in implementing DevOps, MLOps, and SRE frameworks effectively.
Rajesh’s mentorship ensures:
- Real-world scenario-based projects
- Conceptual clarity blended with practical insights
- Direct exposure to enterprise-level DevOps and AI automation tools
This course represents his innovative approach toward modern ML automation, enabling professionals to master the balance between AI innovation and infrastructure reliability.
Master the Full Stack of MLOps Tools
The MLOps Certified Professional program offers comprehensive exposure to best-in-class tools that power today’s AI workflows:
- Docker & Kubernetes: For container orchestration and scalable deployment
- Jenkins & ArgoCD: Automating ML pipelines and CI/CD
- MLflow: Managing model registration, tracking, and deployment
- Kubeflow: Building, packaging, and deploying ML pipelines
- AWS & Terraform: Cloud-based model hosting and infrastructure automation
- Prometheus & Grafana: Real-time monitoring and visualization
- Airflow: Building automated workflows for ML lifecycle management
This hands-on approach ensures that learners are job-ready for hybrid, multi-cloud environments.
Real-World Projects and Hands-On Practice
Each participant works on one real-time, enterprise-level project under expert supervision. The projects simulate realistic industry scenarios such as:
- Automated data ingestion and preprocessing
- Continuous training and deployment of models using Kubeflow pipelines
- Monitoring model drift and performance metrics using Grafana + Prometheus
- Deploying models as RESTful services using Flask, Docker, and Kubernetes
- Implementing full CI/CD pipelines using Jenkins and ArgoCD
By the end of the course, you will have built, deployed, and monitored ML models end-to-end, mastering both infrastructure and automation aspects.
Certification and Career Prospects
After completion, you receive a globally recognized “MLOps Certified Professional” certificate accredited by DevOpsCertification.co. This credential signifies:
- Proven expertise in model deployment and lifecycle management
- Proficiency in MLOps tools and frameworks
- Capability to automate and monitor ML workflows
High-Demand Career Roles:
- MLOps Engineer
- ML Infrastructure Architect
- Data Scientist (Production ML)
- AI Automation Engineer
- Cloud AI Specialist
With enterprises heavily investing in automation and AI workflows, MLOps engineers earn salaries ranging from ₹12L–₹35L in India and $100K–$150K+ in the US.
Learning Modes & Flexibility
DevOpsSchool provides multiple enrollment modes suited for working professionals and teams:
| Mode | Duration | Format |
|---|---|---|
| Live Interactive | 35 Hours | Online Instructor-Led Sessions |
| Self-Paced | Flexible | Recorded Video-Based Learning |
| One-to-One | Custom | Personal Mentorship with Trainer |
| Corporate | 2–3 Days | Intensive Online/Classroom Sessions |
All sessions are conducted via GoToMeeting, with lifetime access to recordings and learning materials.
Testimonials From Learners
Abhinav Gupta, Pune (5.0):
“The course helped me connect AI theory with real deployment skills. Rajesh is an exceptional mentor.”
Indrayani, India (5.0):
“Excellent combination of theory and hands-on learning. I now feel confident managing ML pipelines.”
Vinayakumar, Bangalore (5.0):
“Rajesh’s classes were insightful and interactive. This training elevated my cloud and MLOps knowledge.”
Thousands of engineers, data scientists, and architects have successfully transitioned to specialized AI roles through this certification.
Final Verdict: Why This Course Matters
The MLOps Certified Professional program by DevOpsSchool stands out as one of the most comprehensive and practice-driven MLOps certifications globally. With guidance from Rajesh Kumar, it transforms your understanding of AI deployment into an enterprise-grade, automation-focused skillset.
If you’re looking to future-proof your AI career, this is the certification you can’t afford to miss.
Enroll Today
📧 Email: contact@DevOpsSchool.com
📞 Phone & WhatsApp (India): +91 99057 40781
📞 Phone & WhatsApp (USA): +1 (469) 756-6329