Build a solid understanding of MLOps principles, the ML lifecycle, and operational best practices in this 3-day instructor-led program.
The MLOps Foundation Training Course is designed for IT professionals, data analysts, and aspiring ML engineers who want to understand how machine learning models move from development to production. Over three intensive days, you will explore the complete ML lifecycle, from data preparation and model training to deployment and ongoing monitoring.
This course balances conceptual understanding with practical exercises, giving you hands-on experience with real-world MLOps tooling. By the end, you will be prepared to sit for the MLOps Foundation Certification exam, with a voucher included in your enrollment.
Core competencies you will gain from this foundational program.
Understand every stage of the machine learning lifecycle, from problem framing and data collection through model training, validation, and retirement.
Learn deployment patterns including batch inference, real-time serving, canary releases, and blue-green deployments for ML models.
Discover how to track model performance in production, detect data drift, and establish feedback loops to maintain accuracy over time.
Apply version control principles to datasets, model artifacts, and experiment tracking using industry-standard tools and workflows.
Bridge the gap between data science and operations teams by understanding shared workflows, responsibilities, and communication patterns.
Gain practical skills through guided labs that walk you through building, deploying, and monitoring a simple ML pipeline from scratch.
This course is ideal for professionals beginning their MLOps journey.
Developers looking to expand into ML engineering and understand how models integrate into software systems and production environments.
Analysts who want to understand the operational side of machine learning and how their work feeds into production ML systems.
Ops professionals who need to support ML workloads and want to understand the unique infrastructure requirements of ML systems.
Technical project managers overseeing ML initiatives who need foundational knowledge of MLOps processes and terminology.
3 Days / 24 Hours
8 hours per day
Live Virtual via Zoom
or In-Person Classroom
Weekday sessions
9:00 AM - 5:00 PM
English
Course materials included
Six comprehensive modules delivered across three days of instruction.
This course is the official preparation path for the MLOps Foundation Certification exam. The curriculum is aligned with the exam objectives, and your enrollment includes a certification exam voucher so you can test your knowledge immediately after completing the course.
The MLOps Foundation Certification validates your understanding of MLOps concepts, the ML lifecycle, and fundamental operational practices. It is an ideal credential for professionals entering the MLOps field.
View Certification DetailsInvest in your MLOps career with our comprehensive training package.
Per participant
Group discounts available for 5+ participants. Contact us for corporate pricing.
Enroll today and build the skills that industry leaders demand.