The world is rapidly shifting from data science experimentation to AI-driven production systems, and managing this transformation effectively requires the right blend of technology and automation. This is why MLOps (Machine Learning Operations) has become one of the most sought-after skillsets for today’s AI engineers, DevOps professionals, and data scientists.

To support this evolution, DevOpsSchool introduces the MLOps Foundation Certification Course — a globally recognized program that empowers professionals with the skills to manage, automate, and scale machine learning workflows efficiently. Guided by Rajesh Kumar, a globally renowned DevOps and MLOps trainer with 20+ years of expertise, this course stands as the industry’s premier entry point into the world of applied MLOps.

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What is MLOps and Why Does It Matter?

MLOps (Machine Learning Operations) unites machine learning, DevOps, and data engineering practices into a single cohesive framework for managing the ML model lifecycle. It ensures models are efficiently deployed, monitored, and updated in production while maintaining high levels of consistency, security, and compliance.

Why MLOps Is the Future:

• Automates ML deployment pipelines and testing
• Ensures model reliability with continuous integration and monitoring
• Supports version control for reproducible results
• Facilitates collaboration between data science and operations teams
• Enhances compliance with modern AI governance standards

According to a 2025 industry report, over 65% of enterprise AI teams now rely on MLOps to streamline model lifecycle management and scale AI adoption effectively.​

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About the MLOps Foundation Certification Course

The MLOps Foundation Certification by DevOpsSchool is a foundational-level course designed to help learners understand the principles, tools, and workflows that bring machine learning models to life in real-world production environments.

The program is delivered in a blended format through live instructor-led sessions, hands-on projects, and access to AWS-based labs, ensuring participants acquire both conceptual clarity and practical proficiency.

Duration	Format	Certification
5 Days	Online (Instructor-led) / Self-paced	MLOps Foundation Certification

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Key Learning Objectives

By the end of this course, participants will be able to:

• Grasp MLOps fundamentals and their role in AI-driven organizations
• Build and automate basic ML pipelines
• Manage data, code, and model versioning efficiently
• Deploy and monitor ML models using CI/CD pipelines
• Ensure compliance, governance, and scalability across models
• Enable effective collaboration between Data Scientists, DevOps, and ML Engineers

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Course Curriculum Overview

Module	Topics Covered
1. Introduction to MLOps	Understanding how MLOps transforms AI operations; Challenges in model deployment; Tools and frameworks overview
2. CI/CD in ML	Automating training, testing, and deployment with Jenkins, GitHub Actions, and ArgoCD
3. Version Control & Reproducibility	Using Git, DVC, and MLflow for tracking models, data, and experiments
4. Scalable Deployments	Deploying models using Docker, Kubernetes, and Cloud-native architectures
5. Monitoring & Governance	Model drift detection, tracking performance with Prometheus & Grafana; building ethical AI through governance
6. Hands-on Labs & Projects	Real-world deployment projects using Kubeflow, Terraform, and AWS SageMaker

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Why Learn MLOps from DevOpsSchool?

DevOpsSchool is renowned for its practical, mentorship-driven learning model that combines theory with applied DevOps and AI engineering principles. The MLOps Foundation Certification emphasizes real-world applications, making it ideal for professionals seeking a results-oriented education.

Features	DevOpsSchool	Others
Mentorship by Industry Leader Rajesh Kumar	✔️	❌
Lifetime LMS Access	✔️	❌
Hands-on Cloud Labs (AWS-based)	✔️	Limited
Lifetime Technical Support	✔️	❌
Interview Kits, Dumps & Practice Exams	✔️	❌
Global Recognition	✔️	✅

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Mentorship by Rajesh Kumar – Learn from the Global MLOps Mentor

This program is led by Rajesh Kumar — a DevOps and MLOps thought leader with two decades of experience in DevOps, CI/CD, SRE, AIOps, DataOps, and Cloud Computing. His hands-on teaching approach ensures participants gain both career-ready skills and practical knowledge applicable across real business scenarios.

Rajesh has trained over 50,000 professionals globally and continues to shape the DevOps and AI operations landscape through his mentorship at DevOpsSchool and DevOpsCertification.co.

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Real-World Skills You’ll Gain

• Hands-on mastery in Docker, Kubernetes, Jenkins, and MLflow
• CI/CD for Machine Learning models
• Cloud MLOps workflows using AWS and Azure
• Monitoring and drift management using Prometheus, Grafana, and TFX
• Compliance awareness and ML governance implementation
• Team collaboration for scaled ML model deployment

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Who Should Take This Course?

This certification is suitable for:

• Data Scientists seeking deployment mastery
• Machine Learning Engineers optimizing ML pipelines
• DevOps Engineers entering AI operations
• Cloud Professionals managing ML infrastructures
• AI Enthusiasts aiming to start a career in MLOps

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Career Opportunities after Certification

According to Indeed 2025, MLOps professionals earn between USD 120,000 – 150,000 annually in the U.S., reflecting the rising demand for AI deployment talent.

Common roles post-certification include:

• MLOps Engineer
• AI Infrastructure Specialist
• Machine Learning Architect
• Data Science DevOps Engineer
• Cloud AI Deployment Consultant

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Hands-On Learning and LMS Access

After enrollment, participants receive:

• Complete access to the Learning Management System (LMS)
• Recorded sessions, notes, and project files for lifetime revision
• Interactive quizzes and mock exams to strengthen understanding
• AWS-lab assignments to simulate production ML environments

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Course Schedule and Flexibility

Region	Time Zone	Session Availability
India (IST)	9:00 PM – 11:00 PM / 9:00 AM – 11:00 AM	Weekdays & Weekends
USA (PST/EST)	7:30 AM / 10:30 AM	Flexible Timing Options
Europe (CET)	4:30 PM – 6:30 PM	Weekday Batches
East Asia (JST)	12:30 AM – 2:30 AM	Late Night Sessions

This global scheduling ensures convenient access for learners from any time zone.

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Certification & Accreditation

Upon completion, participants earn the MLOps Foundation Certification accredited by DevOpsCertification.co — a globally recognized credential validating expertise in:

• MLOps architecture
• Automation pipelines
• Model governance and reproducibility
• Ethical AI and monitoring practices

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Contact DevOpsSchool

To learn more or register for upcoming batches, reach out to:

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