MLOps for TinyML: Scaling Machine Learning Systems
This course is part of Applied Tiny Machine Learning (TinyML) for Scale.
Course Cost
₹ 25,972
Advanced
Skill Level
7 Weeks
Self-paced lessons
Master the operational aspects of deploying tiny machine learning systems at scale with this advanced course from Harvard. Learn how to bridge the gap between proof-of-concept algorithms and production-ready applications. Explore MLOps principles specifically tailored for TinyML deployments, including automated deployment pipelines, monitoring systems, and maintenance strategies. Perfect for professionals looking to scale their ML applications from laboratory experiments to real-world implementations.
What you'll learn
Master MLOps principles for scaling TinyML applications
Implement automated deployment and monitoring systems
Optimize model architectures using neural architecture search
Deploy federated learning for distributed device networks
Establish effective benchmarking practices
Manage complete MLOps lifecycle automation
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This comprehensive course bridges the gap between machine learning development and production deployment in the context of TinyML systems. Students learn essential MLOps practices for successfully scaling ML applications, with a focus on the unique challenges of deploying to tiny devices. The curriculum covers key topics including automated deployment pipelines, monitoring systems, neural architecture search, federated learning, and performance benchmarking. Through real-world case studies and examples, students learn how to manage the complete product lifecycle of TinyML applications, from initial deployment to maintenance and updates.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Applied Tiny Machine Learning (TinyML) for Scale
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.






