AWS Cloud Practitioner 2023: ML, AI, & Data Analytics
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Lower costs and gain deeper insights into data using AWS machine learning (ML) and artificial intelligence (AI) services. Explore Amazon SageMaker, Amazon Kinesis, Amazon Glue, and more.
About this course
Cloud customers can get deeper insights into their data while lowering costs with AWS machine learning (ML) and artificial intelligence (AI) services. AWS assists at every phase of the ML/AI adoption journey with the most comprehensive set of services, infrastructure, and implementation resources. Begin this course by discovering how ML and AI assist organizations like yours in generating growth and fixing challenging issues. Next, you will explore Amazon SageMaker, Amazon Lex, which is a fully managed AI service with cutting-edge natural language models, and Amazon Kendra, which can provide ML-powered instant answers and FAQs. Then you will focus on Amazon Athena, a serverless, interactive analytics solution, Amazon Kinesis, and Amazon Glue, a serverless data integration service. Finally, you will examine Amazon QuickSight and Amazon EMR, the industry-leading cloud big data solution for petabyte-scale data processing, interactive analytics, and ML. This course is one of a collection that prepares learners for the AWS Certified Cloud Practitioner (CLF-C02) exam.
Learning objectives
Discover the key concepts covered in this course
Define machine learning and artificial intelligence
Compare amazon sagemaker, lex, and kendra
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