Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.


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

via Udemy


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

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 14 02:06:00

Bigdata and AWS, 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 12hours 15min

Taught by

Kaushik Vadali

Related Courses


Start your review of 5 Courses - Master AWS, Analytics, Machine Learning, Bigdata

Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free