MLOps Engineering on AWS Certification
Become an AWS MLOps Engineer and learn to automate ML pipelines, deploy models at scale, monitor real-time inference and optimize production ML systems end-to-end.
Duration
Students
Mode
Batch Starts
Course Overview
Master AWS MLOps Engineering & Production ML Workflows
Become an AWS MLOps Engineer & learn how to automate ML pipelines, deploy models at scale & monitor real-time inference using AWS SageMaker, CodePipeline, Feature Store & CloudWatch. Build production-ready ML systems end-to-end.
Certification
MLOps Engineering on AWS Certification
Key Features
Course Curriculum
8 modules • 24 lessons
Skills You'll Master
ML workflow automation on AWS
CI/CD pipelines for model lifecycle
Production model deployment & serving
Feature engineering & versioning at scale
Monitoring, drift detection & retraining
Cost optimization & governance for ML
Course Highlights
Our curriculum is designed by industry experts to ensure you master the skills that matter most.
Learning Outcomes
Industry-Recognized Certification
MLOps Engineering on AWS Certification
Earn a prestigious industry-recognized certification upon completion. This credential validates your expertise and can be shared directly on LinkedIn and other professional platforms.
Globally Recognized
Accepted by leading employers worldwide
Digital Verification
Includes QR code and secure verification link
Career Advancement
Proven to increase job opportunities and salary potential
93% of our certified students reported career advancement within 6 months
Enrollment Details
Limited Time Offer - Enrollment closes in 3 days!
Flexible Payment Options
We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.
Get Personalized EMI Options
Speak with our finance experts to find the best payment plan for your needs.
Program Criteria
Our carefully designed selection criteria ensure that you'll get the most out of this transformative learning experience.
Prerequisites
What you need to begin your journey
Basic understanding of machine learning concepts
Python fundamentals recommended
Familiarity with cloud concepts (advantageous but not mandatory)
Eligibility Criteria
Who this program is designed for
Students pursuing AI / ML / Data Science streams
Working professionals: ML Engineers, DevOps, Cloud Engineers
98%
Completion Rate
24/7
Learning Support
15k+
Students Enrolled
4.9/5
Student Rating
Why Join This Programs?
Discover the unique advantages that make our program the perfect choice for your future
Learn enterprise-grade AWS MLOps end-to-end
Hands-on labs that convert theory into production skills
Real-time deployments, monitoring & cost-optimization practice
Fast-track to MLOps/ML engineering roles in industry
Frequently Asked Questions
Still have questions? Contact our support team