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


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

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
  • Just basic computer knowledge to unleash the power of Cloud to rollout Awesome Amazon Web Services


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

Created by Kaushik Vadali
Last updated 11/2018

Size: 6.85 GB

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