Data Engineering on AWS
Through a balanced combination of theory, practical labs, and activities, participants learn to design, build, optimize, and secure data engineering solutions using AWS services. From foundational concepts to hands-on implementation of data lakes, data warehouses, and both batch and streaming data pipelines, this course equips data professionals with the skills needed to architect and manage modern data solutions at scale.
AWS Cloud Essentials for Business Leaders
This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing. Learn how a cloud strategy can help you meet business objectives. The course dives into the business value of the cloud through customer examples, exploring industry trends, and the Cloud Value Framework, which helps you understand the business value of building on AWS by assessing cost and value impact.
AWS Well-Architected Best Practices
The AWS Well-Architected Framework helps you make informed decisions about your customers' architectures cloud-focused way and understand the impact of design decisions. By using the Well-Architected Framework, you will understand the risks in your architecture and ways to mitigate them. This course provides a deep dive into the AWS Well-Architected Framework and its six pillars. This course also covers the Well-Architected review process and using the AWS Well-Architected Tool to complete reviews.
DevOps Engineering on AWS
DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers continuous integration (CI, continuous delivery (CD, infra-structure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2, serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.
Developing on AWS
This course will help you learn how to use AWS services and developer tools, such as the AWS SDK and AWS CLI to develop secure and scalable cloud applications from an expert AWS instructor. You will explore how to interact with AWS using code and discuss key concepts, best practices, and troubleshooting tips. In this 3-day, classroom training course you will learn how to programmatically interact with AWS services to build web solutions.
Building Streaming Data Analytics Solutions on AWS
Learn to design and implement streaming data analytics solutions using AWS Services with an expert AWS instructor. The course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS. You'll also learn how to scale streaming applications using Amazon Kinesis, optimize data storage, how to select and deploy appropriate options to ingest, transform, store, and analyze data, and more. This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.
Designing and Implementing Storage on AWS
Learn to select, design, and optimize secure storage solutions to save on time and cost, improve performance and scale, and accelerate innovation with Designing and Implementing Storage on AWS. Explore AWS storage services and solutions for storing, accessing, and protecting your data. An expert AWS instructor will help you understand where, how, and, when to take advantage of different storage services. Learn how to best evaluate the appropriate AWS storage service options to meet your use case and business requirements. The course dives deep into how to store, manage, and protect your data in the cloud. Through presentations, demonstrations, group exercises and a a series of hands-on labs, you will learn how to quickly provision powerful storage solutions in minutes.
MLOps Engineering on AWS
Could your Machine Learning (ML) workflow use some DevOps agility? MLOps Engineering on AWS will help you bring DevOps-style practices into the building, training, and deployment of ML models. ML data platform engineers, DevOps engineers, and developers/operations staff with responsibility for operationalizing ML models will learn to address the challenges associated with handoffs between data engineers, data scientists, software developers, and operations through the use of tools, automation, processes, and teamwork. By the end of the course, go from learning to doing by building an MLOps action plan for your organization.
Build Modern Applications with AWS NoSQL Databases
An expert AWS instructor will help you understand how to build applications that involve complex data characteristics and millisecond performance require-ments from your databases. You will learn to use purpose-built databases to build typical modern application diverse access patterns and real-time scaling needs. Through a series of presentations, guided tours, group discussions, and hands-on labs, you will learn to describe advanced features of Amazon Dynamo-DB, Amazon DocumentDB (with Mongo compatibility), and Amazon ElastiCache for Redis.