Data Scientists & ML Engineers
Professionals who build models locally and want to scale their work using AWS SageMaker and MLOps practices.
This AWS Machine Learning Engineer course is designed to help you master Amazon SageMaker model deployment, MLOps on AWS, and AWS data engineering for ML. Offered by AEM Institute, it is the best AWS ML training for professionals aiming to build production-ready ML solutions.
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 in India. Our online batches are especially popular among professionals from Bangalore, Hyderabad, Pune, Mumbai, Delhi-NCR, Chennai, and other IT hubs — offering the same expert instruction, live labs, and placement support as our classroom program.
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. The curriculum is strictly aligned with the official AWS MLA-C01 exam blueprint.
Kolkata's IT sector is expanding rapidly, with major tech hubs in Salt Lake Sector V, Rajarhat New Town, and Ballygunge driving demand for ML professionals. Companies in Kolkata are actively hiring AWS ML certified engineers, making this the perfect time to invest in AWS ML training in Kolkata. AEM Institute is strategically located at Ballygunge, easily accessible from all parts of the city — including Park Street, Howrah, Sealdah, and New Town.
Understand why the MLA-C01 associate certification is the perfect next step for ML engineers and how it compares to the foundational AIF-C01
| Parameter | AWS AI Practitioner (AIF-C01) | Machine Learning Engineer Associate (MLA-C01) — This Course |
|---|---|---|
| Level | Foundational | Associate — practical ML engineering |
| Focus Area | Understanding AI/ML concepts and AWS AI services | Building, training, tuning, and deploying ML models at scale on AWS |
| Key Technologies | Amazon Bedrock, SageMaker (conceptual), Rekognition, Polly | Amazon SageMaker model deployment, MLOps on AWS, AWS data engineering for ML, deep learning fundamentals |
| Course Deliverables | Live AI project with GitHub, free mock tests, career support | Two live ML pipeline projects with GitHub repos, resume preparation, and 1-on-1 interview prep |
| Prerequisites | None; basic cloud literacy helpful | AIF-C01 or equivalent foundational ML knowledge recommended; Python experience beneficial |
| Average Salary Impact | 40-80% over non-certified beginners | 80-150% over non-certified engineers, especially with a verified ML project portfolio |
When searching for AWS ML training in Kolkata, AWS Machine Learning Engineer certification in Kolkata, or MLA-C01 course in Kolkata, AEM Institute consistently ranks as the top choice. Here's why professionals from Salt Lake, Rajarhat, Park Street, and across West Bengal trust us:
📍 Location: Baby Villa, 82 Kankulia Road, Ballygunge, Kolkata 700 029 — easily accessible from Salt Lake Sector V, Rajarhat, Park Street, Howrah, and Sealdah.
30-hour program covering SageMaker, MLOps, data engineering, deep learning fundamentals, and two live ML projects with career support
Build, train, and hyperparameter-tune models using SageMaker built-in algorithms and custom containers.
Deploy models to real-time endpoints, configure auto-scaling, and implement A/B testing.
Design ML pipelines with SageMaker Pipelines, model registry, and CI/CD for ML workflows.
Implement model monitoring, detect data and concept drift, and trigger automated retraining.
Design continuous integration and deployment pipelines for ML models using AWS services.
Apply IAM policies, encryption, and monitoring to secure ML pipelines and meet regulatory requirements.
Need foundational AWS and ML knowledge? Start with our AWS AI Practitioner (AIF-C01) course or browse our full course catalog.
This associate-level certification is designed for data professionals and engineers who want to validate their ability to build and deploy ML solutions on AWS
Professionals who build models locally and want to scale their work using AWS SageMaker and MLOps practices.
Architects who design end-to-end AI/ML solutions and need to demonstrate hands-on AWS ML expertise.
Those with foundational AWS knowledge who want to advance to the associate level with real-world project experience.
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) recommended but not required. Python and basic data science skills are beneficial.
We deliver a complete learning experience with two live projects and dedicated career support to land top cloud ML jobs
Learn from instructors who hold the MLA-C01 certification and have 15+ years of real-world ML and AWS experience. Available for both classroom and online batches.
Build an end-to-end ML pipeline and an MLOps project on AWS, then push both codebases to public GitHub repositories — a powerful dual-project portfolio verified by recruiters and hiring managers.
Work on real AWS environments — training models, deploying endpoints, and building MLOps pipelines — not just slide theory.
Receive personalized resume preparation highlighting your two ML projects, and 1-on-1 interview coaching tailored for machine learning engineer and cloud AI roles.
Get your queries resolved anytime via our dedicated support channels.
Our training aligns with the latest MLA-C01 exam, ensuring you earn a credential respected worldwide.
Everything you need to know about the AWS Machine Learning Engineer Associate certification cost and structure
| Course Name | AWS Certified Machine Learning Engineer - Associate (MLA-C01) |
| Duration | 30 Hours (Includes Two Live Projects & Career Support) |
| Cloud ML Training Price | ₹24,950 (EMI Options Available) |
| Classroom Location | Baby Villa, 82 Kankulia Road, Ballygunge, Kolkata 700 029 |
| Certification | AWS Certified Machine Learning Engineer - Associate (MLA-C01) |
| Premium Bundle | Two Live Projects (GitHub Portfolios) + Resume & Interview Preparation |
| Batches | Weekend & Weekday Batches Available |
| Training Mode | Physical Classroom & Live Online Instructor-Led (ILT) — Pan-India |
Unlock high-demand ML roles with AWS skills — positions that require SageMaker, MLOps, and data engineering expertise
Design, build, and deploy ML models on AWS using SageMaker, implement MLOps pipelines, and optimize model performance.
Build data pipelines for ML workflows, implement feature stores, and manage data quality for ML applications.
Design end-to-end ML solutions on AWS, define architecture patterns, and lead ML implementation projects.
Implement CI/CD for ML, manage model versioning, automate retraining, and ensure production-ready ML deployments.
Design and implement deep learning solutions on AWS using SageMaker distributed training and deep learning AMIs.
Ensure security, privacy, and compliance for ML workloads on AWS, implement governance frameworks.
These roles are in high demand across Kolkata, Bangalore, Hyderabad, Pune, Mumbai, Delhi-NCR, Chennai, and remote — our placement team actively connects you with top employers.
How the MLA-C01 certification and a verified dual-project portfolio boost your earning potential and unlock cloud ML roles
AWS Machine Learning Engineer salary for certified professionals with a strong project portfolio.
Mid-level specialists designing and implementing ML solutions on AWS for enterprise clients.
Unlock high-paying cloud ML jobs in Kolkata and remote roles with global tech companies.
Learn more about AWS Machine Learning on the official AWS ML website. For student success stories, visit our AI & ML blog.
Real stories from professionals who completed AWS ML Engineer Associate training at AEM Institute in Kolkata
"AEM Institute's MLA-C01 training was a game-changer. The hands-on SageMaker labs and MLOps projects were incredibly practical. The two live projects helped me build a portfolio that impressed recruiters. I passed the exam on my first try and got hired as an ML Engineer within a month!"
"The weekend online batch from Bangalore was perfectly structured for working professionals. The trainers are incredibly knowledgeable about MLOps on AWS and the career support team helped me secure a senior ML role within a month."
"The classroom at Ballygunge is easily accessible from Rajarhat. The hands‑on labs on SageMaker Pipelines and model deployment were enterprise-grade. I transitioned from Data Scientist to ML Engineer with a 50% pay jump."
Clear, conversational answers to help you make the best decision
The AWS Certified Machine Learning Engineer - Associate (MLA-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.
The all-inclusive cloud ML training price at AEM Institute is ₹24,950. This covers SageMaker model deployment, MLOps, data engineering for ML, deep learning fundamentals, the two live projects, and the career support package. EMI options are available.
An AWS Machine Learning Engineer salary typically starts at ₹6 LPA to ₹12 LPA for early-career professionals. Mid-level specialists with 3-6 years earn ₹12 LPA to ₹20 LPA, and lead roles in MNCs can reach ₹20 LPA to ₹35 LPA.
Absolutely. Our AWS MLA-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.
You should have foundational AWS and ML knowledge. Prior certification is not required, but familiarity with Python and data science libraries is beneficial. The AWS AI Practitioner (AIF-C01) is a helpful stepping stone.
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 cloud AI roles. We also provide direct referrals for cloud ML jobs in Kolkata and across India.
The curriculum covers Amazon SageMaker model deployment, MLOps on AWS, AWS data engineering for ML, deep learning fundamentals, plus the two live projects and career support package.
Yes. AEM Institute is widely recognised as the top provider for AWS Machine Learning Engineer Associate MLA-C01 training in Kolkata, with a 4.9/5 rating, 20,000+ professionals trained, and AWS Certified Trainers. Our two live projects and career support set us apart.
AEM Institute's physical classroom training is held at Baby Villa, 82 Kankulia Road, Ballygunge, Kolkata 700 029. It's centrally located with easy access from Salt Lake Sector V, Rajarhat New Town, Park Street, Howrah, Sealdah, and Dum Dum. Weekend batches are available for working professionals.
Choose between our Physical Classroom batch in Ballygunge or the Live Online batch (available across India). Includes two live projects and career support. Limited seats available.
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