As machine learning (ML) continues to transform industries, the need to operationalize ML models efficiently has given rise to the field of MLOps (Machine Learning Operations). DevOpsSchool’s MLOps Certified Professional Course offers an industry-aligned, comprehensive training program designed to equip professionals with the skills required to manage the entire ML lifecycle — from development through deployment to ongoing monitoring and maintenance.
Why Should You Choose MLOps?
MLOps bridges the gap between data scientists, ML engineers, and IT operations, enabling seamless collaboration and automation of ML workflows. It ensures models deployed to production are reliable, scalable, and continually monitored — crucial for businesses relying on AI-driven decision-making.
Key reasons to get MLOps certified include:
- Mastering the automation and continuous integration/continuous deployment (CI/CD) pipelines tailored for ML projects.
- Gaining hands-on experience with essential tools such as Docker, Kubernetes, Jenkins, MLflow, AWS.
- Learning best practices for model versioning, governance, testing, and scaling.
- Increasing your career prospects as MLOps expertise is in high demand in tech hubs across the USA, India, and Europe.
What DevOpsSchool’s MLOps Certified Professional Course Offers
This course, backed by years of industry experience and expert mentorship from Rajesh Kumar — a globally respected leader in DevOps, MLOps, and cloud engineering — delivers a well-rounded curriculum covering every crucial aspect of MLOps.
| Feature | DevOpsSchool | Other Courses |
|---|---|---|
| Course Duration | 35 hours approx. | Varies |
| Learning Modes | Self-paced Videos, Live & Interactive Online, One-on-One Coaching | Limited formats |
| Key Tools Covered | Kubernetes, Docker, Jenkins, MLflow, AWS, Terraform | Partial tool coverage |
| Real-Time Projects | Yes (Use-case driven) | Few or none |
| Interview Prep | Included (Mock interviews, Question banks) | Scant |
| Lifetime LMS Access | Yes | Often limited |
| Technical Support | Lifetime | Usually time-bound |
Comprehensive Curriculum and Hands-On Learning
The course curriculum is thoughtfully structured, beginning with MLOps fundamentals like lifecycle management, collaboration, and best practices, then advancing into extensive technical modules:
- Linux Basics & Bash Scripting for automation
- AWS Cloud Setup tailored for ML workloads (SageMaker, Lambda, IAM)
- Containerization using Docker: Packaging and deployment of ML models
- Kubernetes & Helm: Deploying and managing ML applications at scale
- Infrastructure as Code (Terraform): Automated provisioning
- Continuous Integration/Deployment Pipelines with Jenkins and ArgoCD
- Monitoring ML models: Using Prometheus and Grafana to detect anomalies and model drift
- Experiment Tracking and Model Versioning with MLflow & Kubeflow
- API Development with Python & Flask for serving ML models
- Workflow Automation with Apache Airflow
Learners engage in real-world projects to gain industry-relevant experience from data ingestion and model training to deployment and monitoring in production environments.
Career Benefits and Certification Value
The demand for MLOps professionals is booming, with salaries in the USA averaging around $111,000 for early-career roles and rising significantly with experience. The MLOps Certified Professional credential from DevOpsSchool is globally recognized, validating your ability to streamline ML workflows in cloud and enterprise environments effectively.
Additionally, participants receive comprehensive interview kits and mock interview sessions, ensuring thorough preparation for job placements.
Flexible Learning and Support
DevOpsSchool offers:
- Diverse learning options including video self-learning, live interactive sessions, and personalized coaching.
- Global time zones accommodated with scheduled live batches.
- Lifetime access to course materials, recordings, notes, and updates.
- Active forum support and expert assistance for query resolution.
Connect with DevOpsSchool
Begin your journey towards becoming an MLOps expert today by enrolling in the. Gain skills to manage complex ML systems confidently and elevate your professional profile.
Contact Information:
- Website: https://www.devopsschool.com/
- Email: contact@DevOpsSchool.com
- India Phone & WhatsApp: +91 7004215841
- USA Phone & WhatsApp: +1 (469) 756-6329