*Best value for money, with practice test included*

*Updated for 2020's latest AWS Machine Learning and SageMaker features*

*FEATURED INTERVIEW WITH AWS ML EXPERT* Topics discussed are:

• Example of real project of AWSML services

• Some of the challenges faced on the project

• What 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 ETL

• Kinesis data streams, firehose, and video streams

• Data Pipelines, AWS Batch, and Step Functions

• scikit_learn, numpy, panda

• Athena and Quicksight

• Elastic MapReduce (EMR)

• Apache Spark

• Feature engineering

• SageMaker Ground Truth, Built-in Algorithms

• Deep Learning basics

• How to evaluate machine learning models(confusion matrix)

• Regularisation techniques

• Comparison of various AWSservices to help you understand when to use which service

• High Level Machine Learning Services: Polly, Transcribe, Lex, Rekognition, and more

• Security on AWS