5 Courses – Master AWS, Analytics, Machine Learning, Bigdata

Size: 6.85 GB

Cloud Compute, Database, Security, Containers, Migration, data science, Database, Kinesis, Glue, Hadoop, Spark

 

What you’ll learn

 
  • Underastand Amazon Web Services, Migrate to Amazon Cloud, Machine learning and Data science
Requirements
  • Just basic computer knowledge to unleash the power of Cloud to rollout Awesome Amazon Web Services

Description

5 courses pack including below topics. # Course Lectures Duration (hh:mm:ss)
 
1 AWS – Cloud Services 27 05:38:02 Elastic Beanstalk,   ELB, ECS, EKS, Dynamo DB, Migration Hub
 
2 AWS – Data Analytics 10 02:38:08 AWS Analytics and Data Lakes, Amazon Athena – Interactive query service, Amazon CloudSearch – Managed search service, Amazon Elasticsearch Service, Amazon Kinesis – Data Streams, Amazon Redshift – Data warehousing Amazon QuickSight – Business Analytics Intelligence Service, Amazon Data Pipeline – Automate data movement, AWS Glue – Managed ETL Service
 
3 BigData and Hadoop framework 14 01:20:13 Big data introduction, history, technologies, characteristics and Applications
 
Data Lake, Data science and Data scientist Hadoop introduction, HDFS-Overview, Hadoop Architecture, assumptions and goals Demo-Hadoop install – sw download verify integrity,  Java ssh configure,  Hadoop access by browser 4 Machine Learning 00:32:19
 
Introduction,   Algorithms, Softwares 5 AWS Machine Learning 13 01:56:00
 
Bigdata and AWS, 5.3   Hadoop on Amazon Elastic Map Reduce  –   EMR, Amazon EMR,   Amazon EMR Architecutre, TensorFlow – Open source Machine Learning framework, Amazon SageMaker – TensorFlow Part 1 & 2, AWS Deep Learning AMIs, AWS Translate – Natual language translation, Amazon Polly – turn text to speech, Apache MXNet – Deep learning framework TOTAL < 67 Lectures > 12:05:19
 
Who is the target audience?
  • For all those who is interested in learning about cloud Infrastructure, want to reap the benefits of migrating to AWS

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