Best value for money, with practice test includedUpdated for 2020’s latest AWS Machine Learning and SageMaker featuresFEATURED INTERVIEW WITH AWS ML EXPERT Topics discussed are: Example of real project of AWSML servicesSome of the challenges faced on the projectWhat do companies look for when hiring for AWS specialists?How can someone showcase their skills?At the time of publication, this is the only complete AWS Machine Learning Specialty Certification course on udemy to include a full length practice test. The course will follow the exam structure, and is divided into the following sections: Data Engineering, Exploratory Data Analysis, Modeling, Machine Learning Implementation and Operations. Topics we will cover include: Featured interview with AWS Expert that covers practical and job related aspects, important AWStools etc. Basics of Data Science, Artificial Neural Networks, and Deep Learning Practical examples and use cases S3 Glue and Glue ETLKinesis data streams, firehose, and video streamsData Pipelines, AWS Batch, and Step Functionsscikit learn, numpy, pandaAthena and QuicksightElastic MapReduce (EMR)Apache Spark Feature engineering SageMaker Ground Truth, Built-in Algorithms Deep Learning basicsHow to evaluate machine learning models(confusion matrix)Regularisation techniquesComparison of various AWSservices to help you understand when to use which serviceHigh Level Machine Learning Services: Polly, Transcribe, Lex, Rekognition, and moreSecurity on AWS