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Cloud-Based MLOps and ML Engineering
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Cloud-Based MLOps and ML Engineering

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

Course Cost

Free course

Intermediate

Skill Level

12 Hours

Self-paced 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 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.

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4.5

7,807 Enrolled

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olive-leaves-logo

4.5

7,807 Enrolled

olive-leaves-logo

English

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.

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Certificate
Certificate

Get a Completion Certificate

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

CREATED BY

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PROVIDED BY

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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 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

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.

Cloud-Based MLOps and ML Engineering

Intermediate

Skill Level

12 Hours

Self-paced 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.