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DevOps, DataOps, MLOps
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DevOps, DataOps, MLOps

Master modern operational frameworks for machine learning deployment, from continuous integration to GPU-accelerated solutions using Python and Rust.

Course Cost

Free course

Advanced

Skill Level

43 Hours

Self-paced Video lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full MLOps Machine Learning Operations Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.2

21,708 Enrolled

English

4.2

21,708 Enrolled

English

What you'll learn

  • Build MLOps and DevOps pipelines

  • Implement continuous integration workflows

  • Deploy ML models in production

  • Develop GPU-accelerated solutions

  • Master cloud-native ML architecture

Skills you'll gain

Python Libraries
DevOps
MLOps
Machine Learning
Rust Programming
Cloud Computing
Containerization
CI/CD
GPU Computing
Microservices

This course includes:

18.7 Hours PreRecorded video

13 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course covers advanced MLOps practices including continuous integration, model deployment, and operational pipelines. Students learn to build end-to-end solutions using modern tools like GitHub Copilot, work with pre-trained models, and transition from Python to Rust for high-performance ML applications.

Introduction to MLOps

Module 1 · 7 Hours to complete

Essential Math and Data Science

Module 2 · 8 Hours to complete

Operations Pipelines

Module 3 · 9 Hours to complete

End to End MLOps and AIOps

Module 4 · 10 Hours to complete

Rust for MLOps

Module 5 · 10 Hours to complete

Fee Structure

Reviews

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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.

DevOps, DataOps, MLOps

Advanced

Skill Level

43 Hours

Self-paced Video lessons

Course Cost

Free course

Completion

CERTIFICATE

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.