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AWS MLOps: Implementation & Operations
Learn to build and manage production ML pipelines on AWS. Master automated model deployment and monitoring.
Course Cost
₹ 45,758
Intermediate
Skill Level
3 Months
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 Machine Learning Operations with Amazon Web Services (MLOps with AWS) Professional Certificate 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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What you'll learn
Create AWS pipelines for model training and deployment
Implement automated model scoring systems
Design decision output pipelines
Set up continuous monitoring for data drift
Establish AI engineering roles in organizations
Skills you'll gain
This course includes:
21 Hours PreRecorded video
3 skill-building courses
Access on Mobile
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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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 courses in this program
Predictive Analytics: Basic Modeling Techniques
Course 1 · 4 Weeks to complete · 4 modules
MLOps with AWS: Model Deployment
Course 2 · 4 Weeks to complete · 4 modules
MLOps2: Data Pipeline Automation with AWS
Course 3 · 4 Weeks to complete0
Fee Structure
Payment options
Financial Aid
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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.