5 Courses - Master AWS, Analytics, Machine Learning, Bigdata
5 Courses - Master AWS, Analytics, Machine Learning, Bigdata
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
Cloud Compute, Database, Security, Containers, Migration, data science, Database, Kinesis, Glue, Hadoop, Spark
Url: View Details
What you will learn
- Underastand Amazon Web Services, Migrate to Amazon Cloud, Machine learning and Data science
Rating: 3.4
Level: All Levels
Duration: 12 hours
Instructor: Kaushik Vadali
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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