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AWS Certified Machine Learning Engineer Associate: Hands On! (Udemy.com)

Practice exam included! Master MLA-C02/ ME1-C02 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.

Created by: Sundog Education by Frank Kane

Last updated September 2026

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What you will learn

  • Prepare confidently for the AWS Certified Machine Learning Engineer Associate exam. (MLA-C02)
  • Understand and apply key AWS machine learning and AI services like SageMaker, Bedrock, and more.
  • Perform data preparation, feature engineering, and data validation for ML models.
  • Master hyperparameter tuning, model training, and deployment strategies on AWS.
  • Implement CI/CD pipelines and automation for scalable machine learning and AI workflows.
  • Secure, monitor, and optimize AWS ML and AI infrastructure for performance and cost-efficiency.

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Quality Score

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Overall Score : 92 / 100

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Course Description

FULLY UPDATED for the MLA-C02 exam released in September 2026. Practice exam included.

Get certified by Amazon for your knowledge of machine learning on AWS! Prepare to ace one of the most challenging certifications in the cloud domain—the AWS Certified Machine Learning Engineer Associate Exam! Whether you're a backend developer, data engineer, or data scientist, this comprehensive course is your gateway to success.

Why This Course?

This course is expertly crafted by industry veterans Frank Kane and Stephane Maarek, who have collectively educated over 3 million students on Udemy. Frank Kane, with over 9 years of experience at Amazon, has specialized in machine learning and AI, and Stephane Maarek is an AWS expert and renowned instructor. Together, they bring an unparalleled depth of knowledge to guide you through every aspect of the exam.

What You’ll Learn:


  • Master AWS ML and AI Services: Dive deep into Amazon SageMaker, Amazon Bedrock, and a host of other AWS services like Comprehend, Rekognition, and Translate, which are crucial for the exam.

  • Hands-on Labs: Gain practical experience with hands-on activities, labs, and demos that reinforce your understanding and help you build confidence.

  • Practice Exam and Practice Questions: A full-length 65-question practice exam and 110 quiz questions throughout the course test your knowledge, in a style similar to the exam

  • Data Preparation & Feature Engineering: Learn how to ingest, transform, and validate data for ML modeling, ensuring data integrity and model readiness.

  • Model Development & Deployment: Explore hyperparameter tuning, model performance analysis, and best practices for deploying scalable ML and AI solutions on AWS.

  • Monitoring & Security: Discover how to monitor ML models and infrastructure, optimize costs, and secure your AWS environment, ensuring compliance and performance.

Why Choose Us?


  • Proven Track Record: Our instructors have helped millions of students achieve their AWS certification goals.

  • Real-World Experience: Learn from experts who have worked at Amazon and have extensive experience with AWS services.

  • Comprehensive Coverage: This course covers everything you need to pass the exam—from AWS service knowledge to advanced machine learning topics that the exam will test you on.

Who Should Enroll?

This course is perfect for anyone preparing to take the AWS Certified Machine Learning Engineer Associate Exam. If you're serious about your certification and want to ensure you walk into the exam center with confidence, this course is for you.

Don’t Leave Your Success to Chance

This certification is tough, and the stakes are high. Don't risk hundreds of dollars on an exam until you're fully prepared. Enroll now and take the first step towards becoming an AWS Certified Machine Learning Engineer!

Enroll Today and Start Your Journey to Certification Success!


Don't just take our word for it - here are some real student reviews just taken from the past couple of weeks:

"I took the ML Associate exam last month and cleared it because of this course!" - Ashkay

"Glad I took this course, was able to pass MLA !!" - Rajendra

"I just passed the exam. This course was so helpful. Thanks." -  Yong Soek

"I Passed my MLA exam Yesterday, thanks to this course! This course is excellent and highly comprehensive!" - Aditya

"The course is brilliant! I have used around 2 weeks to review the course and have passed the exam in the first attempt!" - Martin

"Great course, couldn't have passed the ML Associate exam without it! Covered everything needed to pass the exam about as succinctly as I could expect." - Nick

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Instructor

My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.

I have already taught 3,000,000+ students and gotten 800,000+ reviews throughout my career in designing and delivering these certifications and courses!

With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS Machine Learning Engineer. So, let’s kick start the course! You are in good hands!

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Instructor

Hey, I'm Frank Kane, and I'm also co-instructing this course. I've successfully passed MLA-C01 myself and have ensured everything you need to know is in here. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, and I'm best known for my top-selling courses in "big data", data analytics, machine learning, AI, Apache Spark, system design, and Elasticsearch. I hold 26 issued patents in the field of machine learning.

I've been teaching on Udemy since 2015, where I've reached over one million students all around the world!

I've worked hard to keep this course up to date with the latest developments in AWS machine learning, and to make sure you're prepared for the latest version of this exam. Let's dive in and get you ready!

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This course also comes with:

  • Lifetime access to all future updates

  • A responsive instructor in the Q&A Section

  • Udemy Certificate of Completion Ready for Download

  • A 30 Day "No Questions Asked" Money Back Guarantee!

Join us in this course if you want to pass the AWS Certified Machine Learning Engineer Associate MLA-C02 / ME1-C02 exam and master the AWS platform!

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Instructor Details

Sundog Education by Frank Kane

Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. 

As a senior manager at Amazon during its early years, Frank Kane led large technical teams, managed multi-year projects, and served as a "bar-raiser" - interviewing thousands and hiring hundreds across the company.

Frank holds 26 issued patents in machine learning and personalization. After 9 years at Amazon and IMDb, he founded Sundog Education and has since taught over 1.1 million people in AI, ML, AWS, system design, and tech leadership. Frank has been teaching full-time for over 10 years - but is always building projects on the side with the latest emerging technologies, to better explain them to you!

Our teaching style is to simplify complex concepts - once you cut through all the notation and jargon, most of AI and machine learning is pretty easy to understand. We make these advanced topics accessible to anyone with a modest technical background, always using plain English and examples to drive it home. We make learning easy, hands-on, and fun.

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Reviews

4.6

5,995 ratings on Udemy

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By A.Yakubi on 5/21/2026

The lectures are not grouped in a logical or well-structured way. In several sections, topics are mixed together inconsistently — for example, model evaluation metrics are followed by learning types and unrelated concepts. This makes the learning process confusing and difficult to follow. There is also a noticeable repetition of the same principles across multiple lectures, often explained in excessive detail. This artificially increases the number of lessons without meaningfully improving the quality or depth of the training material. Some lectures demonstrate AWS services and components that have already been deprecated or are no longer supported, which reduces the practical relevance of the course. The final exam differs significantly from the style and structure of actual AWS certification questions. AWS typically uses shorter, more concise questions that still effectively test understanding through scenario-based reasoning. This is especially important considering that English is not the primary language for many learners worldwide. Additionally, the practice test contains only 20 questions. The course authors did not make the effort to create a proper exam pool closer to the real AWS exam format, which usually contains around 65 questions. Instead, it feels more like a commercial strategy designed to encourage students to purchase additional paid practice materials. Overall, despite these issues, the course material is still useful for learning Machine Learning fundamentals.

By Modupe Daniel on 5/10/2026

i took AWS ML Associate certification course and this udemy course is more detailed. This AWS Certified Machine Learning Engineer Associate: Hands On is more practical and beginner friendly.

By PERCY P JETTY on 5/8/2026

Excellent explanations from both the teachers. Thanks for your effort in putting the course together. Really grateful to you both.

By ashish bhavsar on 5/4/2026

Happy to announce that I passed exam in first attempt. And this course help me to understand key things require for exam. Very helpful to get good understanding of various feature of AWS, which is essential in exam perspective. But few concepts are very shortly explained, some improvement require in that to get deeper knowledge.

By Matthew Marcus on 4/18/2026

It's a million times better than the previous course I was using for this certification. Within the first 5 seconds, I was hooked and already learning more than I did after 5 hours in my last course elsewhere.

By Siva Rajan on 3/22/2026

One of the best course on the internet that always delivers the content and concepts granularity and beautifully. Features of this courses are : Curated Content, direct breakdown of concepts, wide coverage of topics well delivered. You don’t randomly watch some YouTube tutorial. They don’t give you information on what this is. But this course has all information on the same

By Srihari Sankar Sahu on 3/18/2026

This course helped me do what I could not do on my own for over 4 months - give me enough confidence to attend the exam. Thank you both for doing a thorough deep dive into the details and allow us to follow along in the hands-on sessions.

By j .thomas on 2/20/2026

This is a great course. I used this course in combination with Practice exam from Stephen. I passed the AWS Certified Machine Learning Engineer exam. Thanks to Stephen and Frank!!

By Jordan Oberrath on 2/15/2026

This included a lot of information. I was brand new to AWS 3 weeks ago, though a software engineer for over a decade, and I learned enough to feel confident in taking the test because I did well on the practice exams. However, the actual test was a bit more intense and I missed 1 more than I needed to pass. Had I spent more time reviewing the reference material I am certain I would have passed though. So, this was a very good course to teach a complete novice enough to feel confident in this vast cloud platform.

By Nuria Heredia Heredia on 2/11/2026

Course is overall pretty good for preparation, but sometimes it becomes obvious that it is an aglomeration of lectures related to other certifications, which is fine, but sometimes some technologies or services get mentioned or explored, and then later explained, and this sometimes makes ir harder to understand (like docker). Also, halfway through the course it started putting banners for the exam voucher at the end of every lecture, which removed the autoplay, replay and go-back features and was quite annoying. However, this was a great course overall.

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