Cert-prep courses with hands-on practice for AWS, Azure, Kubernetes, security and AIModule 1 of every course free, no card →
CloudaQube

MLA-C01retired exam · AWS · intermediate

AWS Machine Learning Engineer Associate (MLA-C01)

Exam retired MLA-C01 was retired on September 28, 2026. The course is kept for reference and for learners already enrolled. Preparing for the current exam? Go to MLA-C02 →

Master the full ML lifecycle on AWS to earn the AWS Certified Machine Learning Engineer – Associate (MLA-C01) certification. This course covers data preparation with SageMaker Data Wrangler and Feature Store, model training and tuning with SageMaker built-in algorithms and custom scripts, deployment strategies from real-time endpoints to batch transform, and end-to-end MLOps with SageMaker Pipelines, Model Monitor, and Model Registry.

  • 16 hours
  • 26 lessons
  • 6 modules
  • 5-question practice exam
  • updated July 2026
Module 1 freeNo credit cardFull course from $8.99/mo
exam coverage

Mapped to the MLA-C01 exam guide

Every module is tagged with the exam domain it covers.

—Data Preparation for Machine LearningModules 1 and 6
—ML Model DevelopmentModules 2 and 5
—Deployment and Orchestration of ML WorkflowsModule 3
—ML Solution Monitoring, Maintenance, and SecurityModule 4
try it

Try it before you sign up

Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.

free lesson · read · 25 min

AWS Data Ingestion, Storage, and Transformation

Data preparation is the largest domain in the MLA-C01 exam (28%) and the most time-consuming phase of any real-world ML project. AWS provides a rich ecosystem of services that handle ingestion, storage, transformation,…
question 1 of 3 · from the Module 1 quiz
You need to perform point-in-time correct feature retrieval to avoid data leakage during model training. Which SageMaker service is purpose-built for this?
Pick an answer.
curriculum

6 modules, 26 lessons

Module 1 is free — lessons, hands-on walkthrough and quiz. The course ends with a 5-question practice exam.

  • readAWS Data Ingestion, Storage, and Transformation25 min
  • videoAI on AWS: Bedrock, SageMaker, and Data Services Overview30 min
  • hands-onHands-On: Prepare Data with SageMaker Data Wrangler25 min
  • quizData Preparation Quiz15 min
how it's built

Built by the CloudaQube team

No celebrity instructor — here is exactly what goes into the course instead.

  • 01 Follows the official MLA-C01 exam guide — every module is tagged with the exam domain it covers.
  • 02 7 guided hands-on walkthroughs you run in your own AWS account.
  • 03 5 module quizzes and a 5-question practice exam — every answer comes with an explanation.
  • 04 Last updated July 2026.
  • 05 Any module can become a hands-on lab in Labs Studio.
outcomes

What you'll be able to do

  • 01 Prepare and transform datasets for ML using AWS Glue, Athena, SageMaker Data Wrangler, and Feature Store
  • 02 Train, evaluate, and tune ML models using SageMaker built-in algorithms, custom containers, and Automatic Model Tuning
  • 03 Deploy ML models using real-time endpoints, serverless inference, batch transform, and multi-model endpoints
  • 04 Build and automate ML pipelines using SageMaker Pipelines, Model Registry, and CI/CD integration
  • 05 Monitor deployed models for data drift, model quality, and bias using SageMaker Model Monitor and Clarify
  • 06 Apply security best practices including IAM roles, VPC isolation, encryption, and SageMaker governance
before you start
  • — Hands-on experience with AWS core services (S3, IAM, EC2, Lambda)
  • — Python programming and familiarity with machine learning fundamentals (supervised/unsupervised learning, evaluation metrics)
  • — Basic understanding of SQL and data processing concepts
  • — AWS Cloud Practitioner or equivalent AWS experience recommended
questions

Before you start MLA-C01

Is this course current for the MLA-C01 exam?

It follows the current MLA-C01 exam guide — all 4 exam domains, with the weights shown on this page, and was last updated July 2026.

How do I book the MLA-C01 exam, and what does it cost?

You book it directly with AWS. The official exam page lists the current fee, format, length and passing score, which can vary by country.

Is this an exam dump?

No. The lessons and quiz questions are written to teach the exam objectives, and every answer comes with an explanation. Real exam questions (“dumps”) break the exam provider’s candidate agreement and can cost you the certification.

What do I need for the hands-on walkthroughs?

Your own AWS account. The walkthroughs create real resources; the AWS Free Tier covers many of them. Delete what you create when you finish so you don’t keep paying. Pro members can use a CloudaQube AWS sandbox instead.

How long does it take?

About 16 hours of lessons, videos and hands-on walkthroughs across 6 modules, plus a 5-question practice exam.

What’s free?

Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 6 modules and the practice exam, and starts with a 14-day free trial.

get started

Start MLA-C01 with Module 1 free.

No card required. Unlock every module and the practice exam from $8.99/mo when you’re ready.

See pricing
      MLA-C01 Course (Retired Exam): AWS Machine Learning Engineer Associate | CloudaQube