AWS Certified Machine Learning Engineer - Associate
Machine Learning Engineering on AWS course using SageMaker. Learn data prep, model training, deployment, MLOps pipelines & real-time inference in AWS.
Duration
Students
Mode
Batch Starts
Course Overview
Machine Learning Engineering on AWS – Build, Train & Deploy ML at Scale
Learn end-to-end Machine Learning Engineering on AWS using SageMaker, from data preparation to model training, deployment, automation & monitoring. Gain real production experience building scalable ML pipelines & real-time inference systems on AWS.
Certification
AWS Certified Machine Learning Engineer - Associate
Key Features
Course Curriculum
7 modules • 21 lessons
Skills You'll Master
Model Training & Deployment in AWS
SageMaker Pipelines & Automation
Real-time ML Serving Architecture
Feature Engineering with AWS Tools
Drift Monitoring & Model Optimization
CI/CD Deployment for ML Systems
Course Highlights
Our curriculum is designed by industry experts to ensure you master the skills that matter most.
Learning Outcomes
Industry-Recognized Certification
AWS Certified Machine Learning Engineer - Associate
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 Python knowledge
Basic ML concepts understanding
AWS familiarity recommended (not mandatory)
Eligibility Criteria
Who this program is designed for
ML / Data / Cloud / DevOps professionals
Students pursuing AI / ML specializations
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
Real-world production ML experience on AWS
Learn exactly what ML Engineers use in companies
Hands-on workflow — not just theory
Project portfolio helps job transition
Frequently Asked Questions
Still have questions? Contact our support team