The world of machine learning is evolving rapidly, and so are the complexities of deploying models at scale. If you’re aiming to transform your career as a Machine Learning Engineer or streamline your organization’s AI workflow, the DevOpsSchool MLOps Certified Professional program stands out as a top-tier choice. Designed by the globally renowned expert Rajesh Kumar, with over 20 years of domain authority in DevOps, MLOps, and cloud, this course provides hands-on expertise, industry-focused curriculum, and a pathway to global certification.​

What Is MLOps and Why Does It Matter?

MLOps—short for Machine Learning Operations—is the set of practices that unify ML system development (Dev) and ML system operation (Ops). In today’s business environment, models must move from prototype to production swiftly, reliably, and securely. MLOps ensures that data scientists, ML engineers, and operations teams collaborate, automate, and monitor all phases of the model lifecycle—from data ingestion and versioning to real-time deployment and drift detection.​

Course Overview: Professional MLOps Certification at DevOpsSchool

The MLOps Certification Training at DevOpsSchool is structured to help learners master every aspect required for successful ML model lifecycle management.​

• Curriculum Features:
  • Model versioning, automated testing, continuous integration, and deployment pipelines.​
  • Real-time monitoring using tools like Docker, Kubernetes, Jenkins, MLflow, and AWS.​
  • Scalable infrastructure and hands-on projects with real-world use cases.​
• Learning Modes:
  • Self-paced video learning (35 hours approx).​
  • Live online interactive batches (35 hours approx).​
  • One-on-one online training (35 hours approx).​
  • Corporate (Online/Classroom): 2–3 days.​

Expert Mentoring: Rajesh Kumar’s Authority

All courses are guided and mentored by Rajesh Kumar, a globally recognized trainer and consultant specializing in DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and Cloud. His approach is deeply practical, focusing on actual deployment challenges, and his mentorship gives learners the confidence to excel in real production environments.​

MLOps Curriculum Highlights

Introduction & Key Principles

• Understanding MLOps lifecycle and its integration in modern ML workflows.​
• Automation, CI/CD, version control for models and data, and collaboration across teams.​

Pipeline Management

• Data collection, cleaning, transformation, model training, validation, deployment, monitoring, and maintenance.​

Practical Bash Scripting

• Linux essentials for automation, error handling, cron jobs, and scheduling training/evaluation tasks.​

AWS Cloud Integration

• Model deployment using AWS (EC2, S3, Lambda, IAM), SageMaker training/deployment, and security best practices.​

Docker & Kubernetes

• Containerization using Docker and orchestration with Kubernetes and Helm for scalable deployment.​

API Management & Databases

• Building RESTful APIs with Python and Flask, integrating MySQL for results and data, and connecting ML APIs to front-end apps.​

Git, Jira, and Confluence for ML Collaboration

• Version control best practices, agile project management, documentation, and workflow automation.​

Infrastructure as Code

• Terraform for automated provisioning and updating cloud resources.​

CI/CD and Monitoring

• Hands-on ArgoCD for GitOps, Prometheus for metrics, Grafana for visualization, and best practices for alerting/model drift monitoring.​

Kubeflow and MLflow

• Model packaging, versioning, experiment tracking, and reproducibility through Kubeflow and MLflow.​

Data Science Foundations

• Jupyter Notebooks, experimentation, TensorFlow, PyTorch basics, validation and testing with pytest/scikit-learn, and KServe & Airflow pipelines.​

Key Features and Benefits

Feature	Benefit	DevOpsSchool Advantage​
Lifetime Technical Support	Ongoing help for queries and troubleshooting	Industry best
Lifetime LMS Access	Class recordings, notes, slides, guides, dumps, assignments	Yes
Group Discounts	Available for team enrollments	Yes
Mock Interviews & Preparation Kits	Dedicated support for job readiness	Yes
Real World Project	1-on-1 real-time scenario project with expert guidance	Yes
Community Forum Support	Expert answers from trainers and peers	Yes
Flexible Batches	Indian, US, Europe, Asia-friendly timings	Yes

MLOps Tools & Technologies Covered

• Docker Certified Associate (DCA)
• Certified Kubernetes Administrator (CKA)
• AWS, Terraform, Helm, ArgoCD
• Prometheus, Grafana, Kubeflow, MLflow, KServe
• Jira, Confluence, GitHub
• PyTorch, TensorFlow, Flask, MySQL, Jupyter, Airflow
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Sample Class Timings (Global)

Day	IST (India)	PST (USA)	EST (USA)	CET (Europe)	JST (Asia)
Monday	9:00-11:00 PM	7:30-9:30 AM	10:30 AM-12:30 PM	4:30-6:30 PM	12:30-2:30 AM (Tues)
Tuesday	9:00-11:00 PM	7:30-9:30 AM	10:30 AM-12:30 PM	4:30-6:30 PM	12:30-2:30 AM (Wed)
Friday	9:00-11:00 AM	7:30-9:30 PM*	10:30 PM-12:30 AM*	4:30-6:30 AM (Fri)	1:30-3:30 PM (Fri)

Real Learner Reviews

• “Very useful and interactive—the confidence builder for all.” — Abhinav Gupta, Pune
• “Hands-on examples, clear concepts, and helpful trainers”—Indrayani, India
• “Well organized training—helped a lot in understanding real deployment and troubleshooting.” — Ravi Daur, Noida
• “Rajesh Kumar’s subject expertise and teaching style make this course stand out.” — Vinayakumar, Bangalore
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Career Outcomes and Salary Insights

• Early Career ML Engineer (USA): Up to $111,165/year.​
• Mid-level: About $135,506/year.​
• Experienced: Average $147,575/year—with skills and hands-on experience driving higher packages.​

Why DevOpsSchool Is The Leading Choice

DevOpsSchool is not just a training provider but a pioneer in DevOps, MLOps, Kubernetes, and cloud education. The MLOps Certified Professional program is globally acclaimed, updated regularly, and designed for engineers, developers, and architects who need actionable skills fast. You get access to community support, timely curriculum updates, practical labs, and career-oriented modules—mentored by Rajesh Kumar himself.​

Discover more about this program and get your MLOps journey started by visiting DevOpsSchool MLOps Certified Professional.​

Call To Action: Get Certified, Get Ahead

Ready to accelerate your career in MLOps and machine learning deployment? Enroll today or reach out for more information:

• Email: contact@DevOpsSchool.com
• Phone & WhatsApp: +91 7004215841 (India)
• Phone & WhatsApp: +1 (469) 756-6329 (USA)
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For more details about other leading courses, trainings, certifications, and workshops, visit the DevOpsSchool homepage.