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AWS Certified Machine Learning Specialty 2021 – Hands On! (udemy.Coupon 95% off)

AWS Certified Machine Learning Specialty 2021 – Hands On! (Coupon 95% off)


AWS machine learning certification preparation - learn SageMaker, feature engineering, data engineering, modeling & more



This is the best Udemy AWS Certified Machine Learning Specialty 2021 – Hands On! coupon code discount for 2021.

So if you’re interested in Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Solutions Architect & Developer Associate, Frank Kane’s “AWS Certified Machine Learning Specialty 2021 – Hands On!” course, which will help you increase your IT & Software skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Description:

[ Updated for 2021'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 9-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
  • 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.

À qui ce cours s'adresse-t-il ?

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

ACMLS2-HO final details

  • Languages: English
  • Skill level: Intermediate
  • Lectures: 114 lectures lectures lessons
  • Duration: 9.5 total hours hours of video
  • What you get: What to expect on the AWS Certified Machine Learning Specialty exam
  • Target audience: Individuals performing a development or data science role seeking certification in machine learning and AWS.
  • Requirements: Associate-level knowledge of AWS services such as EC2
  • Access: Lifetime access
  • Peace of mind: 30 day money back guarantee
  • Availability: available online, as well as on iOS and Android
  • Download options: check course to see if you can download lessons


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