5 Courses - Master AWS, Analytics, Machine Learning, Bigdata (Updated)

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 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 < 68 Lectures > 12hours 15min

Who this course is for:

For all those who is interested in learning about cloud Infrastructure, want to reap the benefits of migrating to AWS