Live Online (VILT) & Classroom Corporate Training Course
Learn how to identify and design the most suitable AWS database solutions so you can modernize your data infrastructure with fully managed, purpose-built databases to save time and cost, improve performance and scale, and accelerate innovation.
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Overview
This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning
Activites
This course includes presentations, group exercises, demonstrations, and hands-on labs.
Objectives
In this Machine Learning Pipeline on AWS course, participants will be able to:
Select and justify the appropriate ML approach for a given business problem
Use the ML pipeline to solve a specific business problem
Train, evaluate, deploy, and tune an ML model using Amazon SageMaker
Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
Apply machine learning to a real-life business problem after the course is complete
Prerequisites
We recommend that attendees of The Machine Learning Pipeline on AWS course have:
Basic knowledge of Python programming language
Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
Basic experience working in a Jupyter notebook environment
Course Outline
Course Introduction
Course overview
AWS Purpose-Built Databases
Discussing well-architected databases
Analyzing workload requirements
Choosing the data model
Choosing the right purpose-built database
Knowledge check
Amazon Relational Database Service (Amazon RDS)
Discussing a relational database
What is Amazon RDS?
Why Amazon RDS?
Amazon RDS design considerations
Knowledge check
Amazon Aurora
What is Amazon Aurora?
Why Amazon Aurora?
Aurora design considerations
Knowledge check
Working with Amazon Aurora databases
Choose the Right Relational Database
Amazon DynamoDB
Discussing a key value database
What is DynamoDB?
Why DynamoDB?
DynamoDB design considerations
Knowledge check
Amazon Keyspaces (for Apache Cassandra)
Discussing a wide-column database
What is Apache Cassandra?
What is Amazon Keyspaces?
Why Amazon Keyspaces?
Amazon Keyspaces design considerations
Knowledge check
Amazon DocumentDB (with MongoDB compatibility)
Discussing a document database
What is Amazon DocumentDB?
Why Amazon DocumentDB?
Amazon DocumentDB design considerations
Knowledge check
Amazon Quantum Ledger Database (Amazon QLDB)
Discussing a ledger database
What is Amazon QLDB?
Why Amazon QLDB?
Amazon QLDB design considerations
Knowledge check
Choose the Right Nonrelational Database
Working with Amazon DynamoDB Tables
Amazon Timestream
Discussing a timeseries database
What is Amazon Timestream?
Why Amazon Timestream?
Amazon Timestream design considerations
Knowledge check
Amazon Timestream
Discussing a timeseries database
What is Amazon Timestream?
Why Amazon Timestream?
Amazon Timestream design considerations
Knowledge check
Amazon ElastiCache
Discussing an in-memory database
What is ElastiCache?
Why ElastiCache?
ElastiCache design considerations
Knowledge check
Amazon MemoryDB for Redis
What is Amazon MemoryDB (for Redis)?
Why Amazon MemoryDB?
Amazon MemoryDB design considerations
Knowledge check
Let’s Cache In
Amazon Redshift
Discussing a data warehouse
What is Amazon Redshift?
Why Amazon Redshift?
Amazon Redshift design considerations
Knowledge check
Tools for Working with AWS Databases
Data access and analysis with Amazon Athena
Data migration with SCT and DMS
Overall Picture
Working with Amazon Redshift clusters
AWS Discovery Days
Supercharge your workforce’s AWS skills with our complimentary Privately Hosted AWS Discovery Day. Delivered by our team of renowned AWS Authorized Instructors, this tailored experience will propel your organization’s technological capabilities to new heights.
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