10 Best Aws Certified Machine Learning Specialty Courses and Certifications Online

This article aims to provide insights into the top-rated online courses for AWS Certified Machine Learning Specialty certification. With the increasing demand for professionals skilled in machine learning and AWS, the need for a certification that validates these skills has grown. Online courses have become a popular choice for individuals seeking flexibility and convenience in obtaining this certification. This article provides an overview of the best online courses available for AWS Certified Machine Learning Specialty and their key features.

Here’s a look at the Best Aws Certified Machine Learning Specialty Courses and Certifications Online and what they have to offer for you!

10 Best Aws Certified Machine Learning Specialty Courses and Certifications Online

1. AWS Certified Machine Learning Specialty 2022 – Hands On! by Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer, Frank Kane, Sundog Education Team (Udemy) (Our Best Pick)

The AWS Certified Machine Learning Specialty 2022 – Hands On! certification prep course, taught by Sundog Education by Frank Kane and Stephane Maarek, is designed to help students pass the MLS-C01 exam. The course covers the four domains tested by the exam, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. The topics covered include S3 data lakes, AWS Glue, Kinesis data streams, DynamoDB, data pipelines, scikit_learn, Athena and Quicksight, Elastic MapReduce (EMR), Apache Spark and MLLib, feature engineering, deep learning basics, regularization techniques, Amazon SageMaker, evaluating machine learning models, high-level ML services, building recommender systems, monitoring industrial equipment, and security best practices.

The course includes 11 hours of video content, a 30-minute practice exam, and four hands-on labs. It is recommended for students who have already obtained associate-level certification in AWS and have some real-world industry experience. The instructors have years of experience in designing and delivering AWS certifications and courses, and have taught over a million students.

The course comes with lifetime access to all future updates, a responsive instructor in the Q&A Section, a Udemy Certificate of Completion Ready for Download, and a 30 Day “No Questions Asked” Money Back Guarantee. Students who enroll in this course will gain confidence as they prepare for the AWS Certified Machine Learning – Specialty exam.

Instructor Stephane Maarek is an AWS expert and popular AWS certification instructor on Udemy, while Frank Kane is a senior engineer and senior manager with nine years of experience working for Amazon in the field of machine learning. Both instructors are known for their top-selling courses and have taught hundreds of thousands of students around the world.

The course is structured into six sections, including an introduction, data engineering, exploratory data analysis, modeling, ML implementation and operations, and a practice exam.

2. AWS Certified Machine Learning Specialty Full Practice Exam by Sundog Education by Frank Kane, Sundog Education Team (Udemy)

The AWS Certified Machine Learning Specialty Full Practice Exam Course, offered by Sundog Education, is aimed at testing the readiness of individuals for the MLS-C01 certification exam. The certification exam is one of the toughest AWS exams that not only tests AWS-specific knowledge but also practical experience in machine learning and deep learning in general. The course offers a realistic full-length simulation of the AWS MLS-C01 exam that comprises 65 questions and takes 3 hours to complete. The course includes original questions of the same style, topics, difficulty, and breakdown of the real exam.

The course also provides a 10-question warmup test that gives a rough idea of an individual’s readiness in just half an hour. The course author, Frank Kane, is a popular machine learning instructor on Udemy who passed the AWS Certified Machine Learning exam and the AWS Certified Big Data Specialty exam. Frank has over 9 years of experience working at Amazon as a senior manager specializing in some of Amazon’s early machine learning development.

The practice exam tests four different domains, including Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. The course requires a deep and broad knowledge of SageMaker and AWS’s other machine learning services, including Rekognition, Translate, Polly, and Comprehend. It also needs a strong knowledge of AWS security, including the use of KMS and IAM.

Apart from AWS knowledge, the course also requires a deep knowledge of data science, feature engineering, tuning machine learning models, and understanding regularization techniques, precision, recall, and AUC. The course includes an explanation of the correct answer to every question. The course is a good test of readiness before investing in the real exam and a good way to see the topics that the exam will touch on.

The course is a bargain compared to the official AWS practice exam and is three times as long. The course is worth the effort as the AWS certification is the most elite one there is currently.

3. AWS Machine Learning Certification Exam | Complete Guide by Dr. Ryan Ahmed, Ph.D., MBA, Ligency I Team, Mitchell Bouchard, Ligency Team (Udemy)

The AWS Machine Learning Certification Exam Complete Guide course is designed to help data scientists and developers become certified in AWS ML, SageMaker, Data Engineering, Visualization, and Model Deployment. The course is taught by Dr. Ryan Ahmed, Ph.D., MBA, Ligency I Team, and Mitchell Bouchard, Ligency Team. The course contains over 500 slides and 200+ questions to help students prepare for the AWS Machine Learning Certification exam.

Machine and Deep Learning are currently the most popular fields to master. They are widely adopted in many industries such as banking, healthcare, transportation, and technology. Amazon has recently introduced the AWS Machine Learning Certification Specialty exam, which is targeted at data scientists and developers who design, train, and deploy AI/ML models to solve real-world problems.

The AWS Machine Learning Certification Specialty exam is quite challenging as it tests the candidate’s knowledge on multiple aspects such as Data Engineering and Feature Engineering, AI/ML Models selection, Appropriate AWS services solution to solve business problem, AI/ML models building, training, and deployment, and Model optimization and Hyperparameters tuning. The course covers the most important concepts without any fillers or irrelevant information.

To pass the exam, candidates need to answer questions such as how to select the proper ML technique to solve a given business problem, which AWS service could work best for a given problem, how to design, implement and scale secure ML solutions, and how to choose the most cost-effective solution. The course is the most comprehensive course on the market that provides students with foundational knowledge to pass the AWS Machine Learning Certification exam.

4. AWS Certified Machine Learning Specialty: 3 PRACTICE EXAMS by Abhishek Singh | 9x AWS (Udemy)

The AWS Certified Machine Learning Specialty: 3 PRACTICE EXAMS course offers FULL-LENGTH practice exams to help students ace the MLS-C01 certification. The MLS-C01 exam tests students in three areas: AWS specific concepts, Deep Learning fundamentals, and real-world experience of building solutions by bridging AWS services with Deep Learning solutions. The practice exams are considered to be the closest to the actual exam and include detailed explanations for each question with annotations, images, and reference links from AWS documentation. The course is mobile-compatible with the Udemy app and offers a 30-days money-back guarantee.

The practice exams consist of two full-length practice exams with 65 questions each and a time duration of 3 hours each. The exams mimic the actual exam in terms of complexity of questions, topic distribution, and presentation style. Each exam addresses the four domains of Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. The exams include probing questions on AWS SageMaker and other AI services such as Lex, Transcribe, Rekognition, Comprehend, and Personalize. There are also scenario-based questions on Big Data services such as Glue, Athena, S3, and Kinesis Family. The exams are a thorough assessment of the student’s ability to apply ML concepts in real-world applications using AWS services.

The answer keys for each practice exam have detailed explanations along with reference links so students can reinforce their learning. Additionally, the course includes a 10-question mini practice exam to warm up and help students get in the zone to attempt the full-length practice exams. The course was put together by an expert in ML and Big Data Consultancy with over a decade of experience working on a diverse range of Enterprise Technologies based on Machine Learning, Big Data, and Analytics. The instructor is an AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, and AWS Certified Solutions Architect Professional.

5. AWS Certified Machine Learning Specialty: Practice Test 2022 by Karuna Maheshwari (Udemy)

The AWS Certified Machine Learning Specialty: Practice Test 2022 is a course designed for individuals who are preparing for an interview or exam in Machine Learning. The course, instructed by Karuna Maheshwari, provides a beginners’ exam practice guide with updated exam questions, making it ideal for self-study and self-assessment.

The course contains sample questions that are likely to be asked in the interview or exam. These Machine Learning-based Multiple Choice Questions (MCQs) are designed to help individuals with their self-study and self-assessment, and to check their knowledge in the subject. The course covers various topics in Machine Learning, such as Concept of Machine Learning, Cross Validation, ROC Analysis, Decision Trees, Clustering, Data Mining, Reinforcement Learning, Neural Networks, and Linear and Logical Regression.

Upon completing the mock test, individuals will receive answers to the questions, allowing them to check their results. Solving these questions can help increase one’s confidence and prepare them for a real exam or interview. The course also comes with a 30-day money-back guarantee.

It is important to note that this course is not certified, accredited, affiliated with, nor endorsed by the Amazon Corporation. The Amazon Corporation and other parties may have trademark rights in terms used within the course.

6. AWS Certified Machine Learning Specialty Practice Exams by Jon Bonso | AWS Certified Solutions Architect Professional, Tutorials Dojo | AWS Certified Cloud Practitioner, AWS Certified Solutions Architect, AWS Certified Developer, Carlo Acebedo | AWS Certified Developer Associate | AWS Professional, Tutorials Dojo Support (Udemy)

This course, titled AWS Certified Machine Learning Specialty Practice Exams, includes 100 top-notch questions that cover all MLS-C01 topics. The course also offers a full test and bonus test in timed mode, free exclusive 3-month access to the Tutorials Dojo Portal Exam Simulator, and detailed explanations, reference links, and cheat sheets.

The AWS Certified Machine Learning Specialty exam is intended for individuals who perform a development or data science role. This exam validates an examinee’s ability to build, train, tune, and deploy machine learning models using the AWS Cloud. The course is designed to help individuals take their career and salary to the next level with an AWS Certified Machine Learning Specialty certification.

In addition to the above features, the course also offers an exam study guide, an active Q&A discussion board, very responsive instructors, a test report to track progress, mobile compatibility, and clear and error-free questions. The course is prepared by AWS Certified Database professionals who have actually passed the AWS Machine Learning Specialty exam.

The course also offers free access to the Exam Simulator in the Tutorials Dojo portal, which has additional features, such as the Review Mode and bonus flashcards. Registration is required to access this optional feature.

The course emphasizes that using brain dumps for the AWS MLS-C01 exam is unprofessional and can hinder individuals from attaining in-depth AWS knowledge. The AWS practice tests offered in this course are not exam dumps and are designed to help individuals gain a good understanding of AWS services.

The course is specifically designed to focus on the important exam domains, such as Modeling and Exploratory Data Analysis, and the number of questions on each topic was carefully selected based on the domains listed in the official AWS MLS exam guide. The course is priced reasonably and is comparable to the official certification practice exams provided by AWS.

The course emphasizes that using this product alone does not guarantee passing the exam, and individuals still need to do their own readings and hands-on exercises in AWS.

7. AWS Certified Machine Learning Specialty Full Practice Exam by Rajeshwar Reddy Konkisa (Udemy)

This is a course titled AWS Certified Machine Learning Specialty Full Practice Exam, taught by Rajeshwar Reddy Konkisa. The course provides a realistic simulation of the AWS MLS-C01 exam and is designed for individuals planning to obtain AWS Machine Learning Specialty Certification. The practice exam consists of 65 questions and takes 3 hours to complete. It includes original questions of the same style, difficulty, and breakdown as the actual exam.

Additionally, there is a 20-question quick test that takes 40 minutes to complete and gives an idea of the student’s readiness. To succeed in this course, knowledge of SageMaker, Rekognition, Translate, Polly, Comprehend, Kinesis, S3, Glue, and Athena is required. Multiple iterations of the practice exam are recommended until a score of 90% or higher is achieved with a strong understanding of underlying concepts.

However, AWS knowledge alone is not enough to pass this exam. Deep knowledge of data science, feature engineering, and machine learning model tuning is also required. The two practice exams cover 65 and 20 questions, respectively, with a time duration of 3 hours and 40 minutes each. They mimic the actual exam in terms of complexity of questions, topic distribution, and presentation style. The four domains of Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations are covered in each practice exam.

The course includes a high-quality timed practice test and an explanation of the correct answer for each question. The course content is focused on practice tests.

8. AWS Certified Machine Learning Specialty Practice Exams 2021 by Emil Frlez (Udemy)

The AWS Certified Machine Learning Specialty Practice Exams 2021 course is designed to help candidates prepare for and pass the current AWS ML Specialty Exam. The course includes two full-length practice tests, each consisting of 65 questions with an exact AWS MLS-C01 domains’ breakdown presented in a Udemy multiple-choice/multi-select format. Additionally, the course provides an answer key that includes clickable links to supporting materials such as documentation, blogs, wikis, and videos. Free online resources such as books, videos, blogs, and podcasts are also provided.

It is important to note that the provided two practice tests are mock exams, not brain dumps. The tests are designed to replicate the style, topics, and complexity of the real-world AWS certification exams, with the number of questions for each Domain Topic carefully selected to match current AWS exam guidelines (2020 AWS MLS-C01). The multiple-choice questions are written with plausible distractors using memory + application method, testing students’ knowledge of principles and facts in real-life situations.

The question subjects and the question conditions follow the AWS Sample Exam Format, which allows candidates preparing for the exam to expend about the same time and apply about the same mental effort understanding the question as they would in the real test center environment. The presentation of the practice exams is designed to be interesting and engaging, with graphics/figures added to illustrate the question in some cases.

The course instructor recommends taking the AWS Cloud Practitioner Exam before taking the AWS Certified Machine Learning Specialty Practice Exams 2021 course. This is because candidates will become familiarized with the AWS Exams format and physical exam center environment, and they can get rolling 50% off discounts on all future exams. Additionally, if candidates are not native English speakers, they can apply online for a 30-minute extension to the exam time from their CertMetrics account.

Each practice exam question is followed by an answer, explanation of the answer, and an explanation of why other multiple choices are wrong.

9. Complete AWS Certified Machine Learning Specialty Exam- 2020 by Real Skills (Udemy)

The Complete AWS Certified Machine Learning Specialty Exam- 2020 Course is a comprehensive program designed to prepare individuals for the AWS Machine Learning Specialty Certification exam. The course is taught by Real Skills course instructors, and features a full Practice Certification test, hand-on lab, and practical use cases.

The course has been updated for 2020’s latest AWS Machine Learning and SageMaker features. Additionally, it includes a featured interview with an AWS ML expert, who discusses real projects, challenges faced, what companies look for when hiring AWS specialists, and how to showcase skills.

This course is the only complete AWS Machine Learning Specialty Certification course on Udemy that includes a full-length practice test at the time of publication. The course follows the exam structure, and is divided into the following sections: Data Engineering, Exploratory Data Analysis, Modeling, Machine Learning Implementation, and Operations.

Throughout the course, students will learn about a variety of topics, such as the basics of Data Science, Artificial Neural Networks, and Deep Learning, as well as practical examples and use cases. They will also gain an understanding of various AWS services, including S3, Glue, Kinesis data streams, and more.

Other topics covered in the course include: scikit_learn, numpy, panda, Athena, Quicksight, Elastic MapReduce (EMR), Apache Spark, feature engineering, SageMaker Ground Truth, Built-in Algorithms, and more. Students will also learn how to evaluate machine learning models (confusion matrix), and will be introduced to regularisation techniques.

Finally, the course covers high-level machine learning services, such as Polly, Transcribe, Lex, Rekognition, and more. The course is broken down into five sections: Introduction, Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. Additionally, there are practice exams included to help students prepare for the AWS Machine Learning Specialty Certification exam.

10. AWS Machine Learning Specialty – Practice Exams by Peter Hansen (Udemy)

The AWS Machine Learning Specialty – Practice Exams course is designed to help individuals prepare for the AWS Machine Learning specialty exam. The course is taught by Peter Hansen and includes two practice exams with full explanations of the correct answers.

The AWS Machine Learning specialty exam is known for being challenging, and despite completing several courses aimed at passing the exam, individuals may still not feel fully prepared for the types of questions they will encounter. The course instructor, who recently passed the exam with a score of 90%, has leveraged their experience to develop two practice exams that simulate the types of questions that will be asked on the actual exam.

The practice exams are designed to be scenario-based and the distribution of questions is similar to what individuals can expect on the actual exam. By completing the two practice exams, individuals will be better prepared for the types of questions they will encounter on the AWS Machine Learning specialty exam.

Obtaining the AWS Machine Learning certificate is considered to be difficult, but not impossible, with proper preparation. This certificate demonstrates an individual’s ability to complete a full machine learning project on the AWS platform, including ingesting data, performing feature engineering, selecting and training models, and deploying the models for external use. Additionally, this certificate covers two of the hottest topics in IT: machine learning and cloud computing.

The course content consists solely of practice tests.