AWS Machine Learning Certification Exam | Complete Guide (Udemy.com)
500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment
Created by: Prof. Ryan Ahmed, PhD, MBA
Last updated September 2025
Our take
Based on the ratings of 1,474 students, a sample of their written reviews and the syllabus, as the course stood in September 2025. No course pays to be reviewed.
This is a slide-based prep course for the AWS Certified Machine Learning Specialty exam, about 17 hours across 172 lectures. The 13 sections follow the exam's ground: data storage and streaming, feature engineering, ML and deep learning basics, SageMaker's built-in algorithms, the high-level AI services, and deployment. Dr. Ryan Ahmed leads it, with two co-instructor teams credited. It was refreshed in September 2025, so the content is not stale. The audience is developers and data scientists who already have some ML and AWS background.
Reviewers who passed the exam like the structure, the short quizzes after lectures, and the PDF slides they kept using afterward. One reviewer calls the pace comfortable. The complaints are consistent too. Many low-star reviews say the teaching is mostly reading slides aloud, with no labs and almost no time in the AWS console. Some quiz questions are off-topic or have errors. The bonus questions unlocked by codes hidden in the videos often fail with an invalid code message. One reviewer also finds the volume jumps at the start of each video.
The course holds a 4.4 from 1,474 reviews, and just over half of those are five stars. It is best read as a first pass that maps the exam's topics, not the only thing to study. Reviewers who passed often paired it with other courses, and one says the included quizzes are nowhere near the real exam's difficulty. Anyone wanting hands-on practice or realistic mock tests should add those separately.
Pros
- Sections map to the exam's domains, so it is easy to track what is covered
- Short quizzes after lectures and downloadable PDF slides reviewers kept using
- Covers SageMaker built-in algorithms and the high-level AI services in one place
- Updated in September 2025, and several reviewers report passing the exam
Cons
- No labs and little AWS console time, so services are hard to picture and recall
- Many reviewers say lectures mostly read the slides aloud, some copied from AWS docs
- Bonus question codes often show as invalid, and some quiz questions are off-topic
Really amazing course content which covers almost every section. I have cleared AWS MLS-C01 certification.
Labeled expert, but the requirements ask only for basic AI, ML and AWS knowledge, and it covers ML basics itself.
What you will learn
- Data Engineering
- Data types, Python Libraries (pandas, Numpy, scikit Learn, MatplotLib, Seaborn), data distributions, timeseries, Feature Engineering (imputation, binning, encoding, and normalization)
- AWS Services and Algorithms
- Amazon SageMaker, Amazon S3 Storage services, AWS Glue
- AWS Kinesis Services (Kinesis firehose, Kinesis video streams, Kinesis data streams, Kinesis analytics)
- Redshift, Redshift Spectrum, DynamoDB, Athena, Amazon Quicksight, Elastic Map Reduce (EMR)
- Rekognition, Lex, Polly, Comprehend, Translate, transcribe, BlazingText Word2Vec, DeepAR, Factorization Machines, Gradient Boosted Trees (XGBoost)
- Image Classification (ResNet), IP Insights, K-Means Clustering, K-Nearest Neighbor (k-NN)
- Latent Dirichlet Allocation (LDA), Linear Learner (Classification), Linear Learner (Regression)
- Neural Topic Modelling (NTM), Object2Vec, Object Detection, Principal Component Analysis (PCA), Random Cut Forest, Semantic Segmentation, and Seqence2Sequence
- Machine and Deep Learning Basics
Course content
13 sections · 172 lectures · 17 hours of video 127 quizzes, 26 articles
- 1INTRODUCTION, DATA/ML LINGO, AWS DATA STORAGE 7 free previews15 lectures · 8 quizzes · 1.7 hours
- 2AMAZON S3 3 free previews9 lectures · 6 quizzes · 47 min
- 3AWS DATA MIGRATION, GLUE, PIPELINE, STEP and BATCH 1 free preview9 lectures · 6 quizzes · 41 min
- 4DATA STREAMING AND KINESIS 3 free previews11 lectures · 9 quizzes · 56 min
- 5JUPYTER NOTEBOOK, SCIKIT-LEARN, PYTHON PACKAGES, AND DISTRIBUTIONS 2 free previews8 lectures · 5 quizzes · 43 min
- 6ATHENA, QUICKSIGHT, EMR 2 free previews11 lectures · 8 quizzes · 1.2 hours
- 7FEATURE ENGINEERING 2 free previews19 lectures · 16 quizzes · 1.6 hours
- 8MACHINE AND DEEP LEARNING BASICS - PART #1 4 free previews15 lectures · 11 quizzes · 2 hours
- 9MACHINE AND DEEP LEARNING BASICS - PART #2 4 free previews14 lectures · 11 quizzes · 1.9 hours
- 10MACHINE AND DEEP LEARNING IN AWS - PART #1 3 free previews16 lectures · 13 quizzes · 1.7 hours
- 11MACHINE AND DEEP LEARNING IN AWS - PART #2 2 free previews15 lectures · 11 quizzes · 1.2 hours
- 12AWS HIGH LEVEL AI/ML SERVICES 5 free previews16 lectures · 11 quizzes · 1.2 hours
- 13ML IMPLEMENTATION AND OPERATION 4 free previews14 lectures · 12 quizzes · 1.4 hours
Who it is for
The instructor says it suits
- Developers and data scientists wanting to get certified in AWS Machine Learning
What you need before you start
- Basic AI/ML/AWS knowledge
How it compares
Against the other 235 rated Udemy courses in AWS on CourseDuck:
- Rating4.4 out of 5higher than 36% of them
- Reviews1,474#97 of 236 by number of reviews
- Length16.9 hourslonger than 76% of them
- Last updatedSeptember 2025more recently than 61% of them
Course Description
Update 01/02/2020: Section #13 on Machine Learning Implementation and Operations is released.
Machine and Deep Learning are the hottest tech fields to master right now! Machine/Deep Learning techniques are widely adopted in many fields such as banking, healthcare, transportation and technology. Amazon has recently introduced the AWS machine Learning Certification Speciality exam and its quite challenging! AWS Certified Machine Learning Specialty is targeted at data scientists and developers who design, train and deploy AI/ML models to solve real-world challenging problems.
The bad news: this exam is a very challenging AWS exam since it tests the candidate’s knowledge on multiple aspects such as (1) Data Engineering and Feature Engineering, (2) AI/ML Models selection, (3) Appropriate AWS services solution to solve business problem, (4) AI/ML models building, training, and deployment, (5) Model optimization and Hyperparameters tuning. You need to answer these questions in order to pass the exam:
o How to select proper ML technique to solve a given business problem?
o Which AWS service could work best for a given problem?
o How to design, implement and scale secure ML solutions?
o How to choose the most cost-effective solution?
The good news: With over 500+ slides and over 50 practice questions, this course is by far the most comprehensive course on the market that provides students with the foundational knowledge to pass the AWS Machine Learning Certification exam like a pro! This course covers the most important concepts without any fillers or irrelevant information.
Instructor Details
- 4.4 Rating
1,474 Reviews
Prof. Ryan Ahmed, PhD, MBA
I'm Dr. Ryan Ahmed, professor, engineer, and founder of Stemplicity, where we help people get past the hype and actually build things with AI, Agentic AI, Cloud, and Data Science.
Over the past 10 years, I've taught 1 million learners across 160 countries — 700,000+ enrolled in my Udemy courses, 260,000+ subscribers on the "Prof. Ryan Ahmed" YouTube channel, and 120,000+ on Coursera. I also run corporate AI training for teams at HSBC, RBC, Discover, and Barclays across the US, Canada, and the UK. I held leadership roles at GM, Samsung, and Stellantis in Canada and the U.S., working on electric and autonomous vehicle technologies.
I hold a MASc, PhD, and MBA from McMaster University. I’m also a licensed Professional Engineer and a Stanford-certified program manager with over 60+ published research papers in AI and battery systems.
But credentials are the least interesting part. Here's what I actually believe: "AI is the biggest opportunity of our lifetime", and most people are sitting it out because they think they need to code or have a PhD. You don't. If you're willing to show up and try, I'll help you get good at this.
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Reviews
By Shikha Abbi on 9/3/2022
Zero labs, Even if the certification does not include any hands on, labs are still needed to relate and remember topics. The course wants you to cram each and every service without showing the actual AWS console. After few sections into the course, it gets hard to recollect what was taught in prev lecture. Your mind can't draw any visuals to relate with services. However, I do like the way Ryan teaches.
By Anonymized User on 8/30/2022
Ryan, I recently got my AWS Certified Machine Learning - Speciality Certification! I used your course a extensively (along with another course) and it played a very significant role in learning the ML concepts and complete the certification successfully. Your course was comprehensive and covered all concepts needed for the exam. I liked the way you were simplifying the ML Concepts, the course structuring and mapping to the exam sections, the digital symbols we needed to collect to open the extra questions made learning fun and enjoyable! Thank You very much! - Venkat
By Kushal Bhavsar on 8/28/2022
I cleared Machine Learning Specialty Exam in one shot. I am sharing my experience. I would say this course is good for theoretical learning. I appreciate that the content is provided which is very structured. But again this one course and material are not enough to pass the exam. I purchased Stephan's course, and Whizlab's course also. To be frank the quiz which is provided by Dr. Ryan is not 10% near to the real exam. Use Whizlab's quizzes which are very similar to the exam. This real exam will test your core knowledge of Machine learning with the right use of the services, parameters, and right approach. Don't follow one course or material blindly, take notes from the internet as well. Best of luck with your exam.
By Jonathan Yang on 6/22/2022
Highly recommended. This is a powerful course to help student study AWS ML. 1. This course includes presentations well prepared – easy to understand, easy to memorize, knowledge delivery, exam focus. 2. The course includes short quiz for absorbing the lectures. 3. PDF file is a great resource even after the lecture time, even after the exam. 4. This course helps to picture AWS ML family. The picture helps AWS win, helps student win. 5. Is this course too long? I believe it does take close to 20 hours to go over all these features provided by AWS ML tool sets. Further compression probably cannot get the job done. Any downside? Have not found any.
By Anonymized User on 4/22/2021
Really mixed thoughts on how to rate this course. I finished it all (except special content codes that I stopped tracking after first few didn't work). Love the course for lot of breadth of topics to cover that this course does well. But depth of knowledge is superficial. Some cut-pastes from AWS documentation on slides that one can read at 1/5th the time spent on listening teacher read them from slides. 0 practicals, 0 live demo, 0 focus on deeper understanding of the topic, at times it feels like AWS sales person speaking. Lots of repetition, although the teacher emphasizes 20 times that this is focused lecture. I appreciate the effort the teacher has taken to cover the breadth. If I may suggest, reduced repetition can be replaced with practicals, that will enhance student understanding of the topic. No reading from the slides please, doesn't add any value in my humble opinion. Thank you for your efforts. I did learnt lot from theory but this course leaves me more hungry for knowledge than before I started with it.
By Roman Rudenskyi on 7/9/2020
Overall impression of the course is quite positive and it covers a lot of interesting topics. Quizes after each lecture indeed help to get the material better. At the same time some topics are covered at the very basic level, namely the lecturer just reads the slide and that it. Moreover there are some questions in couple quizes that are not explained or even mentioned in preceding lecture so the only option is to try and guess.
By Larry Chuon on 7/8/2020
Very thorough and clear instruction. I like the gamification as it helped me get through each section. The bonus practice questions are good. My suggestion for improvement is to have explanation on the answers just like you have done with the quizzes. Now, I can just go back to the sections/videos that I need additional review.
By Anonymized User on 7/5/2020
Great course! A few recommendations: 1) Several slides have misspelled words and should be corrected -- I recognize that English is not the instructor's first language, I was impressed with his English fluency 2) In my opinion, the technology demonstrations (for example what was presented in the AI/ML Youtube video) were really effective. I would employ more technical demonstrations to convey key points. This course is the most comprehensive course on Udemy dealing with AWS Machine Learning certification.
By Vinod Vijayaraghavan on 2/27/2020
Course is very good. The course is framed really well. For instance the way course divided into 4 sections gives students more awareness about what they are learning and the quizzes at the end of lectures gives students more confidence. However, I have noticed some grammatical errors and incomplete sentences/missing words in some of the slides. Also, the quiz at the end of each lectures are too short (only 2 questions max) and too simple. The quality of bonus quiz also can be improved, in such a way that it resembles the actual AWS exam questions. I noticed some duplicate questions in bonus material. Overall Great work by Ryan.
By O H on 2/25/2020
Of the several courses available on udemy for AWS ML certfication, as well as acloudguru.com's course----this course is the most comprehensive and detailed and has been my goto source for prep. I appreciate the numerous small quizzes scatter throughout the course; however, questionwise, I do feel this course is overall lacking in terms of the complexity required for the actual exam. If the instructor can continue to produce more detailed, complex questions, perhaps expand on his exam simulator course (just one full fledged exam), it place his course as the market leader. Highly recommended course. Have purchased several other courses by this instructor as a result of my impressions. What would be epic is if the instructor also produces an AWS Analytics (the former Big Data) cert course!!!!!
It is a good match for me, since I have experience with AWS Sagemaker, S3 and a little Redshift. I also have experience with developing ML models and a few AI models.
In the early part of the course - it is almost entirely read from slides written, but the instructor instills confidence that he owns these slides and they are a benefit to know they exist for reference.
Quality Score
Overall Score : 88 / 100

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