Cloud Compute, Database, Security, Containers, Migration, data science, Database, Kinesis, Glue, Hadoop, Spark
What you’ll learn
Understand 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 Architecture, 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 > 12:05:19Who is the target audience?
- For all those who are interested in learning about cloud Infrastructure, want to reap the benefits of migrating to AWS
Created by Kaushik Vadali
Last updated 11/2018
English
Size: 6.85 GB