AWS Machine Learning Certification Exam | Complete Guide
What you'll 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
Requirements
- Basic AI/ML/AWS knowledge
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.
Who this course is for:
- Developers and data scientists wanting to get certified in AWS Machine Learning
Featured review
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Hello and welcome everyone!
I’m Dr. Ryan Ahmed. I’m a professor, educator, and founder of Stemplicity School, where we make AI and data science simple, practical, and accessible for everyone. I’m passionate about creating learning experiences that are engaging, hands-on, and designed to help people thrive in a fast-changing world.
If you're just starting out in tech or aiming to sharpen your skills in AI, data science, or cloud computing, my goal is to make those complex topics feel approachable, relevant, and easy to apply. Over the past ten years, I’ve taught more than 400,000 learners across 160 countries and built a global community of over 250,000 subscribers on my YouTube channel, Prof. Ryan Ahmed, where I share tutorials and tools to help people grow their careers.
I’ve also led corporate training sessions on AI to companies like HSBC, RBC, Discover, and Barclays in US, Canada, and the UK. Earlier in my career, I held leadership roles at GM, Samsung, and Stellantis, 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 50 published research papers in AI and battery systems. But titles aside, what matters most to me is seeing others succeed.
If you're curious, motivated, and ready to learn, I’m here to help you take that next step.
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