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AWS Certified Machine Learning Specialty 2022 – Hands On!

AWS machine learning certification preparation - learn SageMaker, feature engineering, data engineering, modeling & more
4.5
4.5/5
(7,060 reviews)
47,319 students
Created by

9.8

Classbaze Grade®

10.0

Freshness

8.9

Popularity

9.8

Material

Learn SageMaker
Platform: Udemy
Video: 11h 9m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.9 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.8 / 10
Video Score: 9.3 / 10
The course includes 11h 9m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 1 hours 45 minutes of 939 AWS Certification courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 10.0 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
1 resources.
0 exercise.
1 tests or quizzes.

In this page

About the course

[ Updated for 2022’s latest SageMaker features and new AWS ML Services. Happy learning! ]
Nervous about passing the AWS Certified Machine Learning – Specialty exam (MLS-C01)? You should be! There’s no doubt it’s one of the most difficult and coveted AWS certifications. A deep knowledge of AWS and SageMaker isn’t enough to pass this one – you also need deep knowledge of machine learning, and the nuances of feature engineering and model tuning that generally aren’t taught in books or classrooms. You just can’t prepare enough for this one.
This certification prep course is taught by Frank Kane, who spent nine years working at Amazon itself in the field of machine learning. Frank took and passed this exam on the first try, and knows exactly what it takes for you to pass it yourself. Joining Frank in this course is Stephane Maarek, an AWS expert and popular AWS certification instructor on Udemy.
In addition to the 11-hour video course, a 30-minute quick assessment practice exam is included that consists of the same topics and style as the real exam. You’ll also get four hands-on labs that allow you to practice what you’ve learned, and gain valuable experience in model tuning, feature engineering, and data engineering.
This course is structured into the four domains tested by this exam: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. Just some of the topics we’ll cover include:
•S3 data lakes
•AWS Glue and Glue ETL
•Kinesis data streams, firehose, and video streams
•DynamoDB
•Data Pipelines, AWS Batch, and Step Functions
•Using scikit_learn
•Data science basics
•Athena and Quicksight
•Elastic MapReduce (EMR)
•Apache Spark and MLLib
•Feature engineering (imputation, outliers, binning, transforms, encoding, and normalization)
•Ground Truth
•Deep Learning basics
•Tuning neural networks and avoiding overfitting
•Amazon SageMaker, including SageMaker Studio, SageMaker Model Monitor, SageMaker Autopilot, and SageMaker Debugger.
•Regularization techniques
•Evaluating machine learning models (precision, recall, F1, confusion matrix, etc.)
•High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
•Building recommender systems with Amazon Personalize
•Monitoring industrial equipment with Lookout and Monitron
•Security best practices with machine learning on AWS
Machine learning is an advanced certification, and it’s best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.
If there’s a more comprehensive prep course for the AWS Certified Machine Learning – Specialty exam, we haven’t seen it. Enroll now, and gain confidence as you walk into that testing center.

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Instructor
My name is Stephane Maarek, and I’ll be your co-instructor in this course. I teach about AWS certifications with my focus always on helping my students improve their professional proficiencies in AWS. I am also the author of some of the most highly-rated & best-selling courses on AWS Lambda, AWS CloudFormation & AWS EC2.
Throughout my career in designing and delivering these certifications and courses, I have already taught 1,000,000+ students and gotten 350,000+ reviews!
With AWS becoming much more than a buzzword out there, I’ve decided it’s time for students to properly learn how to be an AWS Machine Learning Professional. So, let’s kick start the course! You are in good hands!
——————————–
Instructor
Hey, I’m Frank Kane, and I’m also instructing this course. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, where my specialty was recommender systems and machine learning. As an instructor, I’m best known for my top-selling courses in “big data”, data analytics, machine learning, Apache Spark, system design, and Elasticsearch.
I’ve been teaching on Udemy since 2015, where I’ve reached over 500,00 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 prepare for the AWS Machine Learning Certification and master the AWS platform!

What can you learn from this course?

✓ What to expect on the AWS Certified Machine Learning Specialty exam
✓ Amazon SageMaker’s built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)
✓ Feature engineering techniques, including imputation, outliers, binning, and normalization
✓ High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
✓ Data engineering with S3, Glue, Kinesis, and DynamoDB
✓ Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR
✓ Deep learning and hyperparameter tuning of deep neural networks
✓ Automatic model tuning and operations with SageMaker
✓ L1 and L2 regularization
✓ Applying security best practices to machine learning pipelines

What you need to start the course?

• Associate-level knowledge of AWS services such as EC2
• Some existing familiarity with machine learning
• An AWS account is needed to perform the hands-on lab exercises

Who is this course is made for?

• Individuals performing a development or data science role seeking certification in machine learning and AWS.

Are there coupons or discounts for AWS Certified Machine Learning Specialty 2022 - Hands On! ? What is the current price?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $109.99. So you save $92 if you enroll the course now.
The average price is $15.3 of 939 AWS Certification courses. So this course is 18% more expensive than the average AWS Certification course on Udemy.

Will I be refunded if I'm not satisfied with the AWS Certified Machine Learning Specialty 2022 - Hands On! course?

YES, AWS Certified Machine Learning Specialty 2022 – Hands On! has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the AWS Certified Machine Learning Specialty 2022 - Hands On! course, but there is a $92 discount from the original price ($109.99). So the current price is just $17.99.

Who will teach this course? Can I trust Sundog Education by Frank Kane?

Sundog Education by Frank Kane has created 34 courses that got 127,324 reviews which are generally positive. Sundog Education by Frank Kane has taught 606,010 students and received a 4.6 average review out of 127,324 reviews. Depending on the information available, we think that Sundog Education by Frank Kane is an instructor that you can trust.
Founder, Sundog Education. Machine Learning Pro
Sundog Education’s mission is to make highly valuable career skills in big data, data science, 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. 
Sundog Education is led by Frank Kane and owned by Frank’s company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
Browse all courses by on Classbaze.

9.8

Classbaze Grade®

10.0

Freshness

8.9

Popularity

9.8

Material

Platform: Udemy
Video: 11h 9m
Language: English
Next start: On Demand

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