In a world increasingly driven by artificial intelligence and automation, the success of any AI initiative lies not just in building great models but in deploying, monitoring, and maintaining them efficiently. This is where MLOps (Machine Learning Operations) transforms the game.

The MLOps Certified Professional Program by DevOpsSchool is an advanced, hands-on certification course tailored for professionals who want to master the complete lifecycle of machine learning—from model development to deployment, monitoring, and optimization.

---

What is MLOps and Why It Matters?

MLOps (Machine Learning Operations) is the bridge between machine learning and DevOps, ensuring that machine learning models can move seamlessly from development to production while maintaining efficiency, reliability, and scalability.

Think of MLOps as DevOps for machine learning—it automates the end-to-end ML workflow, facilitating collaboration between data scientists, ML engineers, and operations teams. The goal is to eliminate silos, reduce deployment friction, and empower businesses with data-driven decision-making at scale.

---

Why Choose DevOpsSchool for MLOps Certification?

DevOpsSchool is a global leader in DevOps, DataOps, and MLOps training. Under the visionary mentorship of Rajesh Kumar—an international DevOps and AI/ML expert with 20+ years of experience—the institute equips learners with deeply practical skills, multi-cloud exposure, and globally recognized credentials.

Key Reasons to Choose DevOpsSchool:

• Live instructor-led sessions with real-time demonstrations
• 100% hands-on labs on AWS, Docker, Kubernetes, and MLflow
• Lifetime LMS access with course materials, recordings, and slides
• Mock interviews, exam dumps, and certification support
• Forum/community learning and job assistance
• Guidance from Rajesh Kumar, mentor to 100K+ DevOps professionals across the globe

---

Program Overview

Attribute	Details
Program Name	MLOps Certified Professional (MLOCP)
Duration	35 Hours (Instructor-Led Online or Self-Learning)
Mode	Online, One-to-One, or Corporate Training
Trainer	Rajesh Kumar
Certification Authority	DevOpsSchool & Cotocus Pvt. Ltd
Project Work	1 Real-life MLOps Project
Support	Lifetime Technical & LMS Access
Languages	English, Hindi (Optional Sessions)

---

What You’ll Learn in the MLOps Certified Professional Course

This course is meticulously designed to cover the entire MLOps lifecycle—from data gathering to production model management. Each module provides hands-on learning through tools like Docker, Kubernetes, MLflow, Kubeflow, Airflow, ArgoCD, and AWS.

Core Modules Include:

• Introduction to MLOps:
  • Understanding the MLOps lifecycle
  • Key challenges and best practices
  • Integration between data science and DevOps pipeline
• Infrastructure for MLOps:
  • Setting up virtual labs in AWS
  • Managing compute and storage using S3, EC2, and Lambda
  • Implementing Infrastructure as Code (IaC) with Terraform
• Containerization and Orchestration:
  • Docker for ML Model Packaging
  • Kubernetes for scalable deployment
  • Helm and ArgoCD for automated delivery pipelines
• Model Versioning and Monitoring:
  • Using MLflow and Kubeflow for experiment tracking
  • Monitoring data drift/model drift
  • Visualizing performance metrics with Prometheus & Grafana
• CI/CD for Machine Learning Pipelines:
  • Automating retraining workflows with ArgoCD
  • Managing rolling updates and rollback functions
  • Integration with GitHub for continuous delivery
• Cloud and DevOps Integration:
  • Deploying models on AWS SageMaker
  • Managing logs and performance at scale
  • SRE principles applied to AI/ML workflows

---

Hands-On Tools You’ll Master

Category	Tools Covered
Version Control	Git, GitHub
Containerization	Docker, Kubernetes, Helm
Machine Learning Frameworks	TensorFlow, PyTorch, Scikit-learn
Automation & CI/CD	Jenkins, ArgoCD
Experiment Tracking	MLflow, Kubeflow
Pipeline Orchestration	Airflow
Monitoring & Visualization	Prometheus, Grafana
Cloud Platforms	AWS, GCP, Azure

Every participant works on real-world projects, gaining full exposure to building and automating end-to-end ML pipelines using containerized microservices.

---

Program Features & Benefits

Key Features

• Lifetime access to LMS and resources
• 100% practical-oriented learning with lab execution via AWS Cloud
• Continuous mentor support even after certification
• Interview and resume-building preparation
• Group discounts for teams enrolling together

---

Why MLOps Certification is a Career Catalyst

As enterprises scale their AI initiatives, MLOps engineers have become crucial to operationalizing intelligence.

According to current market reports, MLOps professionals earn between $120,000 and $150,000 annually, and demand for these roles has grown over 300% in the last two years.

Career roles after certification:

• MLOps Engineer
• Machine Learning Deployment Specialist
• DevOps Engineer (AI/ML Focused)
• DataOps Manager
• AI Infrastructure Architect

---

Real Success Stories from Learners

Abhinav Gupta (Pune):
“The training was inspiring and practical. Rajesh Kumar’s examples helped me apply MLOps concepts in my job immediately.”

Indrayani (India):
“A perfect blend of theory and hands-on labs. The AWS-based project gave me a real picture of production AI environments.”

Vinayakumar (Bangalore):
“Well-structured sessions, lifetime access, and a helpful mentor network made it worth every penny.”

---

Why DevOpsSchool Leads the MLOps Revolution

With an established reputation in DevOps and Cloud education, DevOpsSchool stands as a pioneer in advanced technology training. Their MLOps program not only teaches tool usage but cultivates deep understanding of how AI and DevOps intersect to create scalable intelligent systems.

Distinct Advantages:

• Faculty with 10–15 years of domain experience
• Job-oriented projects and skill-based outcome learning
• Global recognition by companies hiring ML engineers
• Training across time zones (India, USA, Europe, Japan)

---

Enroll Today – Transform Your AI Career with MLOps Expertise

The MLOps Certified Professional (MLOCP) program by DevOpsSchool is not just training—it’s your foundation for building scalable, production-ready ML systems. Mentored by Rajesh Kumar, this program empowers you with the knowledge, hands-on skills, and certification recognition to lead in AI-driven industries.

Ready to become an MLOps expert?
👉 Enroll Now: MLOps Certified Professional Training

---

Contact Information

For further assistance, you can reach out to:

• Email: contact@DevOpsSchool.com
• Phone & WhatsApp (India): +91 99057 40781
• Phone & WhatsApp (USA): +1 (469) 756-6329