First things first. What exactly is the AWS Machine Learning Specialty? It is a certification that helps organizations and businesses identify and develop talent with critical skills for implementing cloud initiatives. If you clear the AWS Certified Machine Learning Specialty exam, it means that you are an expert in building, training, tuning, and deploying machine learning models on AWS. The AWS Certified Machine Learning Specialty exam is meant for individuals who perform a development or data science role and have more than one year of experience developing, architecting, or running machine learning workloads, in the AWS cloud.
As a candidate for this exam, you should have at least two years of hands-on experience developing, architecting, and running machine learning workloads in the AWS cloud.
You should have the ability to express the intuition behind basic machine learning algorithms. You should ideally have some experience performing basic hyperparameter optimization with machine learning and deep learning frameworks. You should be able to follow model training, deployment, and operational best practices.
The exam is made up of 65 multiple choice questions, and you have 180 minutes to fully attempt the exam.
5 Best Courses for AWS Machine Learning Specialty in 2024
Here we have compiled a list of the 5 Best Courses for AWS Machine Learning Specialty. Keep reading to find out more.
1. AWS Certified Machine Learning Specialty 2024 [Udemy]
This fantastic course will fully prepare you for the AWS Certified Machine Learning Specialty Exam. You will learn about SageMaker, feature engineering, data engineering, and modeling.
In this course, you will learn about feature engineering techniques like imputation, outliers, binning, and normalization. You will also learn data engineering with S3, Glue, Kinesis, and DynamoDB. You will be able to use SageMaker's built-in machine learning algorithms like XGBoost, BlazingText, and Object Detection.
You will also get access to high-level machine learning services like Comprehend, Translate, Polly, Transcribe, Lex, and Rekognition.
Course Duration: 11 hours
Course Rating: 4.6 stars out of 5
Course Instructor: Frank Kane
Course Price: $20
In this course, you will learn how to properly choose between the various AWS data repositories, ingestion services, and transformation services, in a cost-effective manner. The instructor of this course is Kim Schmidt, who is an AWS partner and vendor.
You will start the course by exploring the wide variety of data storage solutions on AWS and what each type of storage is used for. You will also discover the different AWS services used to ingest data into ML-specific services and when to use each one. You will finish the course by learning how to transform your raw data into the proper format used by various AWS services.
Course Duration: 3 hours
Course Rating: 4.2 stars out of 5
Course Instructor: Kim Schmidt
Course Price: $140 per year for the Premium plan
Though, you would need a Pluralsight membership to join this course which costs around $29 per month or $299 per year (14% discount). I highly recommend this subscription to all programmers as it provides instant access to more than 7000+ online courses to learn any tech skill. Alternatively, you can also use their 10-day-free-pass to watch this course for FREE.
In this course, you will learn how to get started with AWS Machine Learning. You will learn about important topics like Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing on AWS.
The course is made up of several modules that dive into a variety of machine learning concepts, AWS services, as well as insights from experts to put these concepts into practice. You will also learn how to build intelligent applications using Amazon AI Services like Amazon Comprehend, Amazon Rekognition, and Amazon Translate.
Course Duration: 9 hours
Course Rating: 4.5 stars out of 5
Course Instructor: Blaine Sundrud
Course Price: $45
By the way, If you are planning to join multiple Coursera courses or specializations, then consider taking a Coursera Plus subscription which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $399/ per year but is worth it because you get access to more than 7000+ courses and projects, and you can also get unlimited certificates.
In this course, you will gain hands-on experience on how to train, optimize, deploy, and integrate machine learning in the AWS cloud. This course is the complete guide to the AWS Certified Machine Learning Specialty Exam.
When you purchase this course, you will get full lifetime access to more than 17 hours of on-demand video lectures, 84 articles, 34 downloadable educational resources, and 1 practice test. The course also includes a high-quality timed practice test that will be invaluable in your preparation for the AWS Certified Machine Learning Specialty exam.
Course Duration: 17 hours
Course Rating: 4.6 stars out of 5
Course Instructor: Chandra Lingam
Course Price: $20
In this course, you will learn how to deploy, monitor, and scale your machine learning solution in preparation for the AWS Machine Learning Specialty Exam. The instructor of this course is David Tucker, who is an award-winning cloud consultant.
You will start the course by exploring the different AWS services that can support a machine learning solution in production. You will discover how to deploy and scale a machine learning model with Amazon SageMaker. You will finish the course by learning how to implement security for your machine learning solution with AWS.
Course Duration: 2 hours
Course Rating: 4.7 stars out of 5
Course Instructor: David Tucker
Course Price: $56
AWS Machine Learning Specialty Frequently Asked Questions
1. What is AWS Machine Learning Specialty?
It is a certification that helps organizations and businesses identify and develop talent with critical skills for implementing cloud initiatives. If you clear the AWS Certified Machine Learning Specialty exam, it means that you are an expert in building, training, tuning, and deploying machine learning models on AWS.
2. Can I write the AWS Machine Learning Specialty Exam?
You should have the ability to express the intuition behind basic machine learning algorithms. You should ideally have some experience performing basic hyperparameter optimization with machine learning and deep learning frameworks. You should be able to follow model training, deployment, and operational best practices.
3. What is the format of the AWS Machine Learning Specialty exam?
The exam is made up of 65 multiple choice questions, and you have 180 minutes to fully attempt the exam.
That's all about the best online courses for AWS Machine Learning specialty exam in 2024. The only thing you need to do now is pick a course from this list and start learning. The ball is in your court now. So what the hell are you waiting for? Start learning. If you liked this list of the 5 Best Courses for AWS Machine Learning Specialty, feel free to share it with your friends and family. You can also drop a comment if you have any doubts or questions and we will get back to you in an instant.
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