Design and deploy robust CI/CD pipelines for ML and software projects using DevOps principles
Build, train, version, and deploy machine learning models into production using MLOps best practices
Utilize multi-cloud platforms (Azure, AWS, Google Cloud, etc.) for scalability, reliability, and performance
Monitor, alert, and maintain applications & models in production — ensuring reliability and efficient updates
Automate infrastructure provisioning with Infrastructure as Code (IaC) tools
Integrate security, compliance, and governance into workflows (DevSecOps / MLOps)
Debug, optimize, and troubleshoot real-world production issues
Module / Phase | Key Topics & Activities |
---|---|
Foundation & Setup | Development environments, cloud basics, version control |
CI/CD & Pipeline Design | Build pipelines for code and ML workflows |
Model Lifecycle & Ops | Model training, validation, versioning, and deployment |
Multi-Cloud Architecture | Distributing workloads, optimizing cost and moving data |
Monitoring & Governance | Logging, alerting, compliance, security considerations |
Hands-On Projects | Real-world scenarios: building end-to-end data/ML workflows |
Interview & Job Prep | Resume tips, mock interviews, problem-solving, concept Q&A |
Data Engineers, ML Engineers, DevOps professionals
Software developers wanting to upskill in data & ML pipelines
Power BI / Data Analysts looking to expand into engineering & model deployment
Anyone aiming for high-paying cloud/MLOps roles and production deployments
After completion, you’ll be qualified for roles like:
MLOps Engineer / Specialist
CloudOps Engineer / DevOps Engineer
Machine Learning Engineer (production focus)
Data Pipeline / Platform Engineer
1 Subject
100 Courses • 17053 Students
Mahesh Desireddy, Founder & COO of KSR Datavizon, dedicated to empowering individuals with quality tech education. With a mission to bridge the skills gap, I focus on sharing practical, industry-relevant knowledge to help learners achieve their career goals in IT and Data Analytics."
By clicking on Continue, I accept the Terms & Conditions,
Privacy Policy & Refund Policy