RiseUpp Logo
Educator Logo

Cloud Machine Learning Engineering and MLOps

Master cloud-based machine learning engineering, AutoML, and MLOps practices for building scalable ML solutions. Ideal for intermediate Python developers.

Master cloud-based machine learning engineering, AutoML, and MLOps practices for building scalable ML solutions. Ideal for intermediate Python developers.

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 Building Cloud Computing Solutions at Scale 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.

4.5

(75 ratings)

7,807 already enrolled

Instructors:

English

Powered by

Provider Logo
Cloud Machine Learning Engineering and MLOps

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Develop Machine Learning Engineering applications using best practices

  • Implement AutoML solutions for efficient ML development

  • Master MLOps strategies and cloud deployment techniques

  • Build Flask web applications for ML predictions

  • Apply Edge Machine Learning and AI APIs in production

Skills you'll gain

Machine Learning Engineering
MLOps
AutoML
Cloud Computing
Edge ML
AI APIs
Flask
Microservices
Continuous Delivery
Model Deployment

This course includes:

5.7 Hours PreRecorded video

3 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

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

Created by

Provided by

Certificate

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.

icon-0icon-1icon-2icon-3icon-4

There are 3 modules in this course

This comprehensive course focuses on applying Machine Learning Engineering to real-world projects in cloud environments. Students learn to develop ML applications using software development best practices, implement AutoML solutions, and explore emerging topics in MLOps and Edge Machine Learning. The curriculum covers building Flask web applications for ML predictions, using various AutoML platforms, and implementing AI APIs for practical solutions.

Getting Started with Machine Learning Engineering

Module 1 · 3 Hours to complete

Using AutoML

Module 2 · 3 Hours to complete

Emerging Topics in Machine Learning

Module 3 · 6 Hours to complete

Fee Structure

Instructor

 Noah Gift
Noah Gift

4.4 rating

63 Reviews

1,50,463 Students

40 Courses

Executive in Residence and Founder of Pragmatic AI Labs

Noah Gift is the founder of Pragmatic AI Labs and serves as an Executive in Residence at Duke University, where he lectures in the MIDS Graduate Data Science Program. With nearly two decades of experience, he specializes in machine learning, MLOps, and cloud architecture, designing graduate-level courses that bridge theory and practical applications. Gift is a recognized expert in the field, being a Python Software Foundation Fellow and an AWS Machine Learning Hero, with extensive experience working with major companies such as Disney Feature Animation, Sony Imageworks, and AT&T. He has authored several influential books, including Practical MLOps and Python for DevOps, and has published numerous technical articles across various platforms.In his teaching role, Gift offers a wide range of courses such as Advanced Data Engineering, Cloud Machine Learning Engineering and MLOps, and Data Visualization with Python. His work emphasizes hands-on learning and real-world problem-solving using contemporary tools in AI and cloud computing. By leveraging his industry experience and academic insights, Gift aims to equip students with the skills necessary to tackle complex challenges in data science and machine learning, preparing them for successful careers in these rapidly evolving fields.

Cloud Machine Learning Engineering and MLOps

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.5 course rating

75 ratings

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.