AWS Certified Machine Learning - Specialty

Learn to build, train, validate, optimize and deploy ML solutions on AWS using SageMaker, data prep, MLOps, and exam-driven problem–solving skills.

40 Hours
8 Modules
Certificate
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3,500+ students enrolled
Course Banner
Industry Recognized
Certificate
Live Classes
With Industry Experts

Duration

40 Hours

Students

1000+

Mode

Hybrid

Batch Starts

Nov 29, 2025

Course Overview

Master AWS ML Deployment & Optimization

This AWS Certified Machine Learning - Specialty course builds real-world ML engineering skills including data prep, feature engineering, model training, model evaluation, hyperparameter tuning, MLOps, cost optimization and SageMaker deployment patterns. Designed for IT and non-IT learners targeting ML career roles.

Certification

AWS Certified Machine Learning - Specialty

Key Features

Real AWS SageMaker labs
Exam blueprint aligned syllabus
Advanced model tuning techniques
End-to-end ML pipeline workflows
Production deployment patterns
Full-length mock practice tests

Get in Touch

Myself

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Course Curriculum

8 modules • 32 lessons

15 hours
Beginner to Advanced
ML problem framing
ML lifecycle and patterns
Exam blueprint understanding
AWS ML stack capabilities

Skills You'll Master

8 Career-Boosting Skills

Prepare ML datasets

Engineer features in AWS

Tune ML models efficiently

Deploy scalable inference endpoints

Build MLOps automation pipelines

Monitor ML model drift

Optimize training and inference cost

Troubleshoot ML workload failures

Course Highlights

Our curriculum is designed by industry experts to ensure you master the skills that matter most.

Real scenario case practice
SageMaker-first architecture style
Performance and cost thinking
Exam questions mapping
Applied ML pipeline build
Enterprise-ready MLOps focus

Learning Outcomes

6 Skills You Will Master
Design ML workflows for AWS
Deploy cost–efficient inference stacks
Evaluate and tune model performance
Build operational MLOps pipelines
Monitor drift and model fairness
Optimize model training scale and cost

Industry-Recognized Certification

Certification

AWS Certified Machine Learning - Specialty

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!

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29,600
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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 familiarity

  • Basic AWS fundamentals

  • Basic statistics understanding

Eligibility Criteria

Who this program is designed for

  • Students or working professionals

  • Interest in ML and automation

  • Any academic degree acceptable

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

ML engineering job alignment

High market certification value

Hands-on AWS cloud exposure

Strong architectural skills

Evidence-based ML decisions

Blueprint-level exam readiness

Frequently Asked Questions

Still have questions? Contact our support team