AWS Certified Machine Learning – Specialty

Build machine learning solutions with AWS Machine Learning Specialty. Learn data preparation, model training, and deployment on AWS. Gain practical exposure and exam readiness.

about this course

AWS Certified Machine Learning Specialty validates specialised skills in building, training, deploying, and operating machine learning solutions on AWS. It focuses on selecting approaches for ML problems, implementing models with AWS services, and maintaining ML workloads in production. It is ideal for practitioners supporting end to end ML delivery on AWS.

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AWS Certified Machine Learning – Specialty Course Overview and Modules

Want to build machine learning solutions on AWS without feeling overwhelmed by the full pipeline? If ML feels unclear, this course helps you connect data, training, and deployment into one flow. A specialist ML course can help you:

Understand how to frame ML problems and choose appropriate approaches
Work through data preparation, feature concepts, and training workflows
Deploy and operate models with monitoring and improvement basics
Apply security and governance considerations to ML workloads
Prepare for the Machine Learning Specialty exam with structured coverage

Prerequisites

Comfort with basic statistics, data concepts, and Python is helpful, and AWS fundamentals are recommended. It suits practitioners building and operating ML workloads on AWS.

Certification Alignment

Aligned with the official AWS Certified Machine Learning Specialty exam objectives (MLS-C01), covering data engineering for ML, modelling, deployment, and operations on AWS.

Practical Application

Includes end to end ML scenarios, data preparation and training walkthroughs, deployment and monitoring examples, and service selection guidance for ML use cases.

Skills You Will Gain

Frame ML problems, prepare data for training, deploy and monitor models, and apply operational and security considerations for reliable ML solutions on AWS.

What you will learn in AWS Certified Machine Learning – Specialty Certification

A carefully structured overview of the core concepts, technical domains, and practical competencies you will master to build confidence and certification readiness.

Frame Machine Learning Problems on AWS

Translate business goals into ML problem types and choose suitable approaches for model development.

Prepare Data for Training and Evaluation

Apply data preparation concepts, feature handling, and dataset splitting to support model quality.

Select and Train Models with AWS Services

Use AWS ML service capabilities to train models and evaluate performance using appropriate metrics.

Deploy Models into Production Workloads

Choose deployment options and integrate model endpoints into applications reliably and securely.

Monitor and Maintain ML Solutions Over Time

Track performance and drift signals and plan improvements to keep ML systems dependable in production.

Apply Security and Governance for ML Workloads

Protect data and models using access control and governance concepts suitable for ML pipelines.

AWS Certified Machine Learning – Specialty Course Statistics

Everything you need to know about this certification, including exam details, delivery modes, duration, and pricing.

Certification

AWS Certified Machine Learning – Specialty

Exam Code

MLS-C01

Starting from

£1,695

Not sure which format works best for you? Contact us for free advice and we’ll help design a tailored training plan to match your goals. Whether you need flexible course duration, online or on-site delivery, or a customised schedule, our advisors will guide you every step of the way.

Who This Course Is For

AWS Certified Machine Learning – Specialty is designed for data scientists, ML engineers, and developers who build and deploy machine learning solutions on AWS and want a specialised understanding of ML workflows in the cloud. It is ideal for practitioners who already know ML basics and want to apply them using AWS services for training, deployment, monitoring, and secure operation. It is most useful if you deliver ML in production and want stronger confidence in feature pipelines, deployment patterns, and model monitoring on AWS.

Certification & Exam Information

Certification

AWS Certified Machine Learning – Specialty

Exam

Exam code: MLS-C01
Level: Specialty
Exam duration: 180 minutes
Question format: Multiple choice and multiple response
Delivery: Proctored exam via Pearson VUE (test centre or online)

Skills Measured

Data engineering
Exploratory data analysis
Modelling
ML implementation and operations

Official Preparation Resources

AWS Skill Builder learning plan and exam prep resources
Official exam guide and sample questions

AWS Certified Machine Learning – Specialty Careers & Salaries in the UK

Machine Learning Engineer (£74,000 avg)

Data Scientist (£55,000 avg)

Data Engineer (£61,000 avg)

AI Engineer (£70,000 avg)

Book a Free Consultation With a Course Advisor

Frequently Asked Questions – AWS Certified Machine Learning – Specialty

We understand that choosing the right course is important. Below are answers to common questions about training, certification, exams, and career outcomes.

What is AWS Certified Machine Learning – Specialty and what does it validate?

AWS Certified Machine Learning – Specialty validates practical AWS capability across areas like ML problem framing, data preparation, model training and tuning. It focuses on applying AWS concepts to real scenarios, including security, reliability, and cost decisions.

Who should take AWS Certified Machine Learning – Specialty in the UK?

It is a strong fit for ML engineers and data scientists building, deploying, and operating machine learning workloads on AWS in the UK. It can support both job seekers and working professionals who need to use AWS confidently in projects and conversations.

Do I need prior AWS experience before taking AWS Certified Machine Learning – Specialty?

There are no formal prerequisites, but these exams are aimed at experienced professionals and expect strong hands-on AWS knowledge.

What topics are covered in AWS Certified Machine Learning – Specialty?

It covers ML problem framing, data preparation, model training and tuning, deployment and MLOps, ML service selection. The exam guide and official blueprint provide the most up-to-date domain list and weighting for the current version.

Is it more about ML theory or production ML on AWS?

It is more about applying ML in production on AWS. You are tested on the ML lifecycle, service selection, training and tuning, deployment, monitoring, and responsible use of data and models.

How is the AWS Certified Machine Learning – Specialty exam structured?

AWS exams are typically multiple choice and multiple response, with scenario-based questions that test decision-making. The exam guide confirms the current duration and question style.

Can I take the AWS Certified Machine Learning – Specialty exam online from home in the UK?

Yes. AWS exams can be taken online with a remote proctor or in person at a test centre via AWS-approved delivery partners, and you book through your AWS Certification account. For online delivery, you need a compatible system, stable internet, and a private room that meets proctor rules.

How much does AWS Certified Machine Learning – Specialty cost in the UK?

Specialty AWS exams are typically priced at 300 USD. The final amount for UK candidates is shown when you schedule, based on taxes and currency conversion where applicable.

What happens if I fail AWS Certified Machine Learning – Specialty, can I retake it?

Yes. AWS allows retakes, and you typically must wait a set period between attempts and pay the full fee again. Check the current AWS retake rules in your certification account before rebooking.

What should I take after AWS Certified Machine Learning – Specialty?

A common next step is AWS Certified Data Engineer – Associate or role-specific ML engineering specialisation. Pick the path that matches your target role such as architecture, development, operations, security, data, or machine learning.

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