AWS Certified Machine Learning Engineer (CMLE)

Advance your capabilities and become the professional who brings machine learning to life in real-world systems.

Difficulty: Intermediate Level
4 sections, 81 videos
3 hours total of lesson videos

Pass, or We Pay Guarantee

We stand behind our training—so much that we’re putting our money where our mouth is.

If you complete the course and all prescribed materials (quizzes, practice exams, labs, study guides, etc) and don’t pass your AWS exam, we’ll cover the cost of your second attempt. No stress. No strings attached. Just a safety net while you focus on learning.

Here’s how it works:

Course Description

Prepare for the AWS Certified Machine Learning Engineer exam with a complete, end-to-end training path covering data ingestion, feature engineering, model training, optimization, deployment, and monitoring at scale. You’ll build ML solutions using Amazon SageMaker, explore automated ML pipelines, tune hyperparameters, integrate MLOps workflows, and apply responsible AI practices. Through hands-on labs, real datasets, guided projects, quizzes, and practice exams, this course ensures you develop practical cloud ML engineering skills — and excel on the CMLE certification exam the first time you take it.

Who this course is for

IT Professionals Advancing or Transitioning into Cloud Roles

Developers and Engineers Needing Cloud Skills to Stay Competitive

Cloud Practitioners Validating or Expanding their AWS Skills

Course Outline

Course Content

Expand All

Welcome to the course!

5 lessons - 16 min

AWS Certifications & Exam Overview 05:31
Pass-Or-We-Pay Exam Guarantee 02:08
Download Course Materials Here
Create Free-Tier Account [Hands-On] 04:48
Set a budget and alarms [Hands-On] 04:29

Data Preparation for Machine Learning

18 lessons - 80 min

Data types: Apache Parquet, JSON, CSV, Apache ORC, Apache Avro, RecordIO 03:14
Data Preparation for ML with S3 [Hands-On] 03:49
Kinesis Data Streams 05:42
Kinesis Data Firehose 03:56
Kinesis Data Analytics for Applications 02:58
Kinesis Data Analytics for Apache Flink 02:17
Data Ingestion with Amazon Kinesis [Hands-On] 08:51
ETL with AWS Glue [Hands-On] 04:44
Data Wrangling with AWS Glue DataBrew [Hands-On] - Part 1 05:00
Data Wrangling with AWS Glue DataBrew [Hands-On] - Part 2 06:41
Data Wrangling with SageMaker Data Wrangler [Hands-On] - Part 1 02:59
Data Wrangling with SageMaker Data Wrangler [Hands-On] - Part 2 05:35
Feature Engineering with SageMaker [Hands-On] 04:57
Data Labeling with SageMaker Ground Truth [Hands-On] - Part 1 03:05
Data Labeling with SageMaker Ground Truth [Hands-On] - Part 2 05:51
Data Encryption 01:11
Data Encryption with S3 [Hands-On] 03:58
Section Cleanup 05:54

Machine Learning Model Development

19 lessons - 88 min

Machine Learning Paradigms 05:13
Bias-Variance Tradeoff 04:12
Hyperparameter Tuning Techniques: Grid Search, Random Search, Bayesian Optimization 03:03
SageMaker Setup for Regression and Classification [Hands-On] 05:52
Regression with Amazon SageMaker [Hands-On] 09:45
Classification with Amazon SageMaker [Hands-On] 09:57
Register a model with Model Registry [Hands-On] 03:33
SageMaker Cleanup 03:20
Overview of the Machine Learning services in AWS 05:57
Text Extraction with Amazon Textract [Hands-On] 03:00
Machine Translation with Amazon Translate [Hands-On] 01:55
Speech To Text with Amazon Transcribe [Hands-On] 02:45
Text to Speech with Amazon Polly [Hands-On] 02:45
Computer Vision with Amazon Rekognition [Hands-On] 02:31
Natural Language Processing with Amazon Comprehend [Hands-On] 04:42
Foundation Models 03:14
Foundation Models with Amazon Bedrock [Hands-On] 04:46
Fine-Tuning Foundation Models 04:03
Fine-Tuning Foundation Models with Amazon Bedrock [Hands-On] 07:59

Machine Learning Model Deployment

13 lessons - 53 min

Deployment in Amazon SageMaker [Hands-On] 05:59
Deployment endpoints: serverless vs. real-time vs. asynchronous endpoints 03:21
Deployment endpoints in Amazon SageMaker [Hands-On] 05:21
SageMaker Cleanup
Selecting the correct deployment target: SageMaker vs. ECS vs. EKS vs. Lambda 03:18
Infrastructure as code (IaC): CloudFormation 04:13
Infrastructure as code (IaC): Cloud Development Kit (CDK) 02:09
CloudFormation [Hands-On] 06:57
Docker Containers & Containerized Applications 04:10
Elastic Container Registry (ECR) & Elastic Container Service (ECS) & Fargate 03:09
Building containers with Amazon ECR [Hands-On] 04:59
Building containers with Amazon ECS [Hands-On] 04:59
Building containers with Amazon EKS [Hands-On] 04:59

Machine Learning Workflow Automation (CI/CD Pipelines)

5 lessons - 33 min

AWS CodePipeline: AWS CodeBuild vs. AWS CodeCommit vs. AWS CodeDeploy 04:14
AWS CodePipeline [Hands-On] 04:45
AWS CodeBuild [Hands-On] 09:59
AWS CodeDeploy [Hands-On] 06:57
Create an ML pipeline with Amazon SageMaker Pipelines [Hands-On] 07:59

Machine Learning Solution Monitoring and Maintenance

13 lessons - 60 min

Tools for Responsible ML: SageMaker Clarify and SageMaker Model Monitor 02:54
Model/Data Quality and Bias Drift with SageMaker Clarify [Hands-On] 02:10
Monitoring Models in Production with SageMaker Model Monitor [Hands-On] 04:59
SageMaker Model Cards 02:48
SageMaker Model Cards [Hands-On] 05:52
Troubleshoot latency and performance issues with X-Ray and CloudWatch [Hands-On] 04:59
Creating CloudTrail trails [Hands-On] 04:00
Setting up dashboards to monitor performance metrics with QuickSight [Hands-On] 04:59
Setting up dashboards to monitor performance metrics with CloudWatch [Hands-On] 03:03
Monitoring infrastructure with EventBridge events [Hands-On] 06:30
SageMaker Inference Recommender [Hands-On] 06:59
Monitoring costs with Cost Explorer, Trusted Advisor and AWS Budgets [Hands-On] 05:45
Optimizing costs by selecting purchasing options: Spot Instances, On-Demand Instances and SageMaker Savings Plans [Hands-On] 05:25

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Proven AWS Training with Incredible Success Rates

Join thousands of successful students who have achieved their AWS certifications through our expert-led courses. Our training programs boast an almost perfect success rate, and are backed by our “pass, or we pay” offer.

What our students are saying

See how our training has empowered individuals to pass their AWS exams and take their careers to the next level in Cloud Computing.

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Meet Your Instructors

Dedicated professionals committed to your success.

Kirill Eremenko

Co-Founder and Instructor

With ten years of experience in online education, Kirill is an industry expert. Having created more than 40 online courses, he has taught over three million students on Udemy.

Kirill’s many qualifications include Certified Cloud Practitioner, Certified AI Practitioner, Certified Solutions Architect (Associate), and Certified Machine Learning Engineer (Associate).

Hadelin de Ponteves

Co-Founder and Instructor

With ten years of experience in online education, Hadelin is an industry expert. Having created more than 40 online courses, he has taught over two million students on Udemy.

Hadelin’s many certifications include Certified Cloud Practitioner, Certified AI Practitioner, Certified Solutions Architect (Associate), and Certified Machine Learning Engineer (Associate).

Sam Bashton

Head Instructor

I’m excited to contribute to the CloudWolf community: I’ve been working with AWS for over 15 years, and I’m just as passionate about the opportunities the cloud offers as the day I started. Now I’m even more excited to join the CloudWolf community to share my knowledge and train people on leveraging AWS to its fullest potential.

Laurent Mathieu

Instructor

AWS certifications offer a solid foundation for advancing in cloud careers, and I’m thrilled to support the next wave of professionals by sharing my passion with the CloudWolf community.

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How does the guarantee work?

CloudWolf guarantees your AWS exam success with confidence. If you don’t pass your AWS exam, we’ll pay for your second attempt. To qualify, you must be a paying CloudWolf member, start and complete the relevant course within 30 days, finish all tutorials, hands-on exercises (with evidence), quizzes, and practice exams. Sit for the exam within 14 days of completing the course, and notify us within one week if you fail. Upon meeting these conditions, you’ll receive an AWS Exam Voucher for your next attempt. This guarantee applies only to the first retake.

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