Powered by
Completion
CERTIFICATE
Cloud Machine Learning Engineering and MLOps
This course is part of Introduction to Cloud Computing.
Course Cost
₹ 38,999
Beginner
Skill Level
4 Weeks
Self-paced lessons
This comprehensive course explores machine learning engineering principles and MLOps practices for building scalable intelligent systems. Students learn to develop ML applications using software engineering best practices and continuous delivery pipelines. The curriculum covers AutoML technologies, cloud-based solutions, edge machine learning, and AI APIs. Through hands-on experience with tools like Ludwig and Cloud AutoML, participants gain practical skills in implementing and managing ML systems at scale.
What you'll learn
Implement machine learning engineering best practices
Build and deploy ML applications using continuous delivery
Utilize AutoML for efficient model development
Develop edge machine learning solutions
Integrate AI APIs in applications
Implement MLOps strategies for production systems
Work with cloud-based AutoML platforms
Skills you'll gain
This course includes:
PreRecorded video
Quizzes, Discussion Prompts, Ungraded Labs
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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.
There are 3 modules in this course
The course provides a comprehensive introduction to machine learning engineering and MLOps. Students learn about ML microservices, continuous delivery pipelines, and AutoML solutions. The curriculum covers both open-source and cloud-based tools, edge machine learning implementations, and AI API integration. Practical aspects include working with Flask ML applications, cloud AutoML platforms, and implementing MLOps strategies.
Getting Started with Machine Learning Engineering
Module 1
Using AutoML
Module 2
Emerging Topics in Machine Learning
Module 3
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: Introduction to Cloud Computing
Reviews
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.
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.
30
Courses
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.