The rapid advancement of artificial intelligence and machine learning has transformed industries, demanding new skills for managing, deploying, and monitoring ML models at scale. MLOps, the practice of applying DevOps principles to machine learning workflows, is now a critical discipline for data scientists, ML engineers, and DevOps professionals.
DevOpsSchool’s MLOps Certified Professional Course offers a comprehensive training program designed to equip you with the skills needed for the entire ML lifecycle — from development to deployment and maintenance — ensuring you stay ahead in this competitive industry.
Why MLOps Is a Must-Have Skill in 2025
With the explosion of big data and AI innovations, managing ML models efficiently has become essential. MLOps facilitates collaboration between data scientists and operations teams, accelerates deployment cycles, and ensures models remain effective over time.
Key benefits of mastering MLOps include:
- Streamlined model deployment with CI/CD pipelines
- Automated testing and validation of models
- Continuous monitoring for model drift and performance issues
- Scalability using tools like Kubernetes, Docker, and MLflow
- Better collaboration between data teams and operations
According to industry reports, the salary range for Machine Learning Engineers in the USA can reach $135,506 per annum at the mid-level, with higher salaries for experienced professionals. MLOps skills significantly enhance your value proposition.
About DevOpsSchool and Its MLOps Certification Program
DevOpsSchool is a global leader in IT and cloud training, delivering industry-designed courses with mentorship from Rajesh Kumar — a seasoned DevOps and MLOps expert with over 20 years of industry experience.
The MLOps Certified Professional Course is crafted to blend theoretical knowledge with hands-on practical exercises, ensuring participants can implement MLOps best practices in real-world environments. The program features projects, case studies, and industry-ready workflows that promote seamless transition from model development to deployment.
Course Highlights and Curriculum
The training duration is approximately 35 hours, delivered via self-paced videos, live interactive sessions, or one-on-one coaching. An overview of the curriculum:
- Introduction to MLOps: Concepts, importance, and lifecycle overview
- Model Versioning & Reproducibility: Tools like MLflow and DVC
- Automated Pipelines: CI/CD for ML with Jenkins, Git, and Azure DevOps
- Deployment & Monitoring: Using Docker, Kubernetes, and cloud services (AWS, GCP, Azure)
- Scaling & Troubleshooting: Handling model drift, scaling models, and troubleshooting issues
- Security & Governance: Data privacy, compliance, and best practices
Table: DevOpsSchool MLOps Course Features vs. Competitors
| Features | DevOpsSchool | Others |
|---|---|---|
| Industry Expert Mentorship | Yes (Rajesh Kumar) | Varies |
| Real-World Projects & Labs | Extensive hands-on projects | Limited or none |
| Certification Validity | Globally Recognized & Validated by Industry | Varies |
| Learning Support | Lifetime LMS access + support | Limited access |
| Course Duration | Approx. 35 hours | Varies |
Practical Learning: Hands-On Projects & Use Cases
Participants work on real-world scenarios such as deploying machine learning models on AWS, orchestrating workflows with Kubernetes, and automating ML pipelines with Jenkins and MLflow. Interactive labs ensure that learners can practically apply concepts like model versioning, automated retraining, and monitoring model performance.
Participants also receive:
- A comprehensive interview preparation kit with 250+ questions
- Mock interviews and resume guidance
- Post-course support for job placements and community forums
Why Choose DevOpsSchool
- Led by Rajesh Kumar, a global thought leader with unmatched expertise
- Extensive hands-on projects aligned with industry needs
- Lifetime access to course materials, recordings, and post-training support
- Global recognition of certifications (Industry ISO accreditation)
- Affordable pricing, with group discounts available for organizations and teams
Testimonials & Success Stories
“The practical projects in DevOpsSchool’s MLOps course helped me deploy ML models efficiently. Rajesh Kumar’s mentorship is truly inspiring.” — Abhinav Gupta, Pune
“This course transformed my understanding of deploying and monitoring AI models in production. The instructor’s insights are invaluable.” — Indrayani, India
“Hands-on labs with real cloud tools made me job-ready for top MLOps roles.” — Ravi Daur, Noida
Take the Next Step
Join the today to build the skills you need for cutting-edge AI/ML work. Gain industry-recognized certification, real-world experience, and a competitive edge in the job market.
Contact DevOpsSchool
Email: contact@DevOpsSchool.com
India Contact / WhatsApp: +91 99057 40781
USA Contact / WhatsApp: +1 (469) 756-6329