In today’s rapidly evolving AI and machine learning landscape, the ability to seamlessly deploy, monitor, and manage machine learning models is crucial. DevOpsSchool’s MLOps Certified Professional course equips professionals with the end-to-end skills required to operationalize ML workflows effectively. Guided by global expert Rajesh Kumar, this program blends practical training, cutting-edge tools, and comprehensive project work to prepare learners for real-world MLOps challenges.
Why MLOps Certification Matters
MLOps is the bridge between data science and IT operations, enabling continuous integration and deployment of ML models with reliability and scalability. Certified MLOps professionals help organizations automate complex workflows, maintain governance, and respond to model drift, which are key for scalable AI solutions. With salaries reaching over $140,000 in the US, MLOps expertise is highly valued.
Program Overview
DevOpsSchool’s MLOps course spans approximately 35 hours across flexible learning modes: self-paced videos, live interactive online batches, one-to-one mentoring, and corporate training. It covers the complete ML lifecycle—including data preprocessing, model training, deployment, and monitoring—while emphasizing collaboration between data scientists and operations teams.
Key curriculum components:
- MLOps fundamentals: lifecycle, automation, version control, and collaboration
- Linux essentials & Bash scripting for automation
- Cloud deployment using AWS services and infrastructure as code with Terraform
- Containerization with Docker and orchestration using Kubernetes and Helm
- Continuous integration/deployment pipelines with Jenkins, ArgoCD
- ML workflow management via Kubeflow and MLflow
- Monitoring using Prometheus and Grafana, with alerting strategies
- API development for ML model serving using Python and Flask
- Project management and documentation with Jira and Confluence
Course Features & Benefits
| Feature | DevOpsSchool MLOps Program | Typical Alternatives |
|---|---|---|
| Trainer/Mentorship | Rajesh Kumar, 20+ years experience | General trainers |
| Tools Covered | Docker, Kubernetes, Jenkins, AWS, MLflow, ArgoCD, Kubeflow, Prometheus, Grafana, Terraform | Limited toolset |
| Hands-on Projects | Real-world scenarios & capstone project | Often theoretical |
| Learning Modes | Live class, self-paced, 1-on-1, corporate | Mostly self-paced |
| Lifetime LMS Access | Yes | Time-limited |
| Interview Preparation Kit | Extensive inclusion | Occasionally |
| Group Discounts | Available | Limited |
| Certification Value | Industry-recognized, career-enhancing | Varies |
Who Should Enroll
- ML engineers & data scientists aiming for production-grade ML pipelines
- DevOps professionals expanding into AI/ML operations
- IT managers overseeing ML projects
- Software developers transitioning to MLOps roles
A basic understanding of machine learning and DevOps fundamentals benefits participants.
Career Impact
Graduates of this course gain skills vital for deploying scalable, maintainable ML models, crucial for today’s AI-driven enterprises. MLOps professionals are in high demand, commanding competitive salaries and roles such as MLOps Engineer, AI Platform Engineer, and ML Infrastructure Architect.
Why DevOpsSchool and Rajesh Kumar?
DevOpsSchool stands out by delivering industry-relevant content mentored by Rajesh Kumar, a leading expert in DevOps and MLOps. Learners benefit from real-world teaching, personalized support, and a global learning community, ensuring skills that translate directly to career success.
Enroll Now
Elevate your AI career with DevOpsSchool’s MLOps Certified Professional program. Master the comprehensive MLOps lifecycle, gain hands-on experience, and secure an industry-recognized certification to boost your professional trajectory.
Contact Details:
Email: contact@DevOpsSchool.com
Phone & WhatsApp (India): +91 7004215841
Phone & WhatsApp (USA): +1 (469) 756-6329