Institute
Amazon SageMaker Model Training & Tuning
Build, train, and hyperparameter-tune models using SageMaker built-in algorithms and custom Docker containers.
AWS MLS-C01
2 Live Projects + GitHub Repos
Resume & Interview Prep
Classroom & Live Online
What is the AWS Certified Machine Learning - Specialty (MLS-C01) Certification?
The MLS-C01 certification validates your ability to design, build, deploy, and maintain machine learning solutions on the AWS Cloud. Offered by AEM Institute, this is the best AWS Machine Learning Specialty training for professionals aiming to master Amazon SageMaker model deployment, MLOps on AWS, and AWS data engineering for ML. This 30-hour program bundles two premium features: two live projects involving end-to-end ML pipelines that you push to public GitHub repositories for recruiter verification, and comprehensive career support including personalized resume preparation and 1-on-1 interview preparation tailored for ML engineering roles.
Flexible Learning Modes: Attend our Physical Classroom Training at Baby Villa, 82 Kankulia Road, Ballygunge, Kolkata 700 029, or join the Live Online Instructor-Led Training (ILT) from anywhere. Both formats deliver identical perks: live interaction with certified AWS ML experts, hands-on enterprise-scale SageMaker labs, and dedicated career guidance.
The curriculum is strictly aligned with the official AWS MLS-C01 exam blueprint.
AWS AI Practitioner vs Machine Learning Specialty — What's the Difference?
Understand why the MLS-C01 specialty certification is the next step for serious ML engineers and how it compares to the foundational AIF-C01
AWS Machine Learning - Specialty Course Curriculum
30-hour program covering SageMaker, MLOps, data engineering, deep learning, and two live ML projects with career support
Amazon SageMaker Model Deployment
Deploy models to real-time endpoints, configure auto-scaling, and implement A/B testing.
MLOps on AWS
Design ML pipelines with SageMaker Pipelines, model registry, and CI/CD for ML workflows.
Who Should Enroll in This AWS ML Specialty Course?
This specialty certification is designed for data professionals and engineers who want to validate their ability to build and deploy ML solutions on AWS
Data Scientists & ML Engineers
Professionals who build models locally and want to scale their work using AWS SageMaker and MLOps practices.
Cloud Architects & Solutions Engineers
Architects who design end-to-end AI/ML solutions and need to demonstrate hands-on AWS ML expertise.
AIF-C01 Certified & Aspiring Specialists
Those who hold the AWS AI Practitioner (AIF-C01) and want to advance to the specialty level with real-world project experience.
Software Developers Adding ML Skills
Developers with Python experience who want to transition into ML engineering and build production-grade solutions on AWS.
Prerequisite: Foundational AWS and ML knowledge. AWS AI Practitioner (AIF-C01) or equivalent is recommended. Python and basic data science skills are highly beneficial.
Why Choose AEM for Your AWS ML Specialty Training?
We deliver a complete learning experience with two live projects and dedicated career support to land top cloud ML jobs
AWS Certified ML Specialists
Learn from instructors who hold the MLS-C01 certification and have 15+ years of real-world ML and AWS experience. Available for both classroom and online batches.
Two Live ML Projects with GitHub Portfolios
Build an end-to-end ML pipeline and a deep learning MLOps project on AWS, then push both codebases to public GitHub repositories — a powerful dual-project portfolio verified by recruiters and hiring managers.
Hands-On Enterprise SageMaker Labs
Work on real AWS environments — training models, deploying endpoints, and building MLOps pipelines — not just slide theory.
Resume & Interview Preparation
Receive personalized resume preparation highlighting your two ML projects, and 1-on-1 interview coaching tailored for machine learning engineer and senior AWS AI roles.
Program Details at a Glance
Everything you need to know about the AWS Machine Learning certification cost and structure
AWS Machine Learning Engineer Salary & Career Growth
How the MLS-C01 certification and a verified dual-project portfolio boost your earning potential and unlock senior AWS AI roles
₹8–18 LPA
Entry-Level ML Engineer
AWS Machine Learning Engineer salary for certified professionals with a strong project portfolio.
₹18–30 LPA
3-6 Years Senior ML Specialist
Mid-level specialists designing and implementing ML solutions on AWS for enterprise clients.
₹30–50 LPA
Lead ML Architect / MNC Roles
Unlock high-paying cloud ML jobs in Kolkata and remote roles with global tech companies.
Frequently Asked Questions
Clear, conversational answers to help you make the best decision
How long is the MLS-C01 training course?
The AWS Certified Machine Learning - Specialty (MLS-C01) training at AEM Institute is a 30-hour intensive program. It includes two live ML projects with GitHub repositories and comprehensive career support. You can join our weekend batches at the Ballygunge classroom or attend live online sessions.
How much does the AWS Machine Learning certification cost?
The all-inclusive cloud ML training price at AEM Institute is INR 27,950. This covers SageMaker model deployment, MLOps, data engineering for ML, deep learning, the two live projects, and the career support package. EMI options are available.
What is the salary after getting MLS-C01 certified?
An AWS Machine Learning Engineer salary typically starts at ₹8 LPA to ₹18 LPA for early-career professionals. Mid-level specialists with 3-6 years earn ₹18 LPA to ₹30 LPA, and lead roles in MNCs can reach ₹30 LPA to ₹50 LPA.
Can I take the MLS-C01 course online while working?
Absolutely. Our AWS MLS-C01 certification course online is delivered via Live Instructor-Led sessions for working professionals. You attend live weekend classes, work on AWS labs remotely, build the two GitHub projects, and receive the same career support. Recordings are provided.
What are the prerequisites for this AWS ML Specialty course?
You should have foundational AWS and ML knowledge. The AWS AI Practitioner (AIF-C01) certification is recommended. Python and basic data science skills are highly beneficial for the hands-on labs.
Does AEM Institute provide career support after MLS-C01?
Yes. This program includes comprehensive career support: personalized resume preparation to highlight your two ML projects, and 1-on-1 interview coaching for machine learning engineer and senior AWS AI roles. We also provide direct referrals for cloud ML jobs in Kolkata and across India.
What topics are covered in the MLS-C01 syllabus?
The curriculum covers Amazon SageMaker model deployment, MLOps on AWS, AWS data engineering for ML, deep learning on AWS, plus the two live projects and career support package.
Ready to Become an AWS Certified Machine Learning Specialist?
Choose between our Physical Classroom batch in Ballygunge or the Live Online batch. Includes two live projects and career support. Limited seats available.
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