AWS Certified Machine Learning Specialty 2021 - Hands On! (Udemy.com)
AWS machine learning certification preparation - learn SageMaker, feature engineering, data engineering, modeling & more
Created by: Sundog Education by Frank Kane
Produced in 2021
What you will learn
- 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
Quality Score
Overall Score : 88 / 100
Course Description
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 lakesAWSGlue and Glue ETLKinesis data streams, firehose, and video streamsDynamoDBData Pipelines, AWSBatch, and StepFunctionsUsing scikit_learnData science basicsAthena and QuicksightElastic MapReduce (EMR)ApacheSpark and MLLibFeature engineering (imputation, outliers, binning, transforms, encoding, and normalization)Ground TruthDeep Learning basicsTuning neural networks and avoiding overfittingAmazon SageMaker, in depthRegularization techniquesEvaluating machine learning models (precision, recall, F1, confusion matrix, etc.)High-level MLservices: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and moreSecurity best practices with machine learning on AWSMachine 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 AWSCertified Machine Learning -Specialty exam, we haven't seen it. Enroll now, and gain confidence as you walk into that testing center. Who this course is for:
Individuals performing a development or data science role seeking certification in machine learning and AWS.
Instructor Details
- 4.4 Rating
311 Reviews
Sundog Education by Frank Kane
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.
Due to our volume of students we are unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.
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Reviews
- Video Duration:
9.5h - Price: 11.99 Track Price 11.99 Track Price
- Provider: Udemy
- Year:
2021 - Language:
English - Certificate:
Yes
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