| Course Name |
Hours |
CEUs |
Content |
| Advanced Developing on AWS |
21.00 |
2.10 |
|
Description: The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. This three-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloud-based, cloud-native architectures; and applying the tenets of the Twelve-Factor Application methodology.
Skills Gained
In this course, you will learn how to:
Analyze a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services.
Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture.
Recommend the appropriate AWS services to develop a microservices based cloud native application.
Use the AWS API, CLI, and SDKs to monitor and manage AWS services.
Migrate a monolithic application to a microservices application using the 6 Rs of migration.
Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS. This course is intended for:
Experienced software developers who are already familiar with AWS services
# of Days:
Setting:
|
| Amazon Redshift Architecture and SQL |
21.00 |
2.10 |
|
Description: In this course, students will learn the Amazon Redshift Architecture and SQL starting at the most basic level and going to the most advanced level with many examples. At the completion of this course, students will have a deeper knowledge and understanding of the Amazon Redshift Architecture and SQL and how to write it.
# of Days:
Setting:
|
| Architecting on AWS |
21.00 |
2.10 |
|
Description: Architecting on AWS covers the fundamentals of building IT infrastructure on AWS. The course is designed to teach solutions architects how to optimize the use of the AWS Cloud by understanding AWS services and how these services fit into cloud-based solutions. This course emphasizes AWS cloud best practices and recommended design patterns to help students think through the process of architecting optimal IT solutions on AWS. Case studies throughout the course showcase how some AWS customers have designed their infrastructures and the strategies and services they implemented.
# of Days:
Setting:
|
| AWS Business Essentials (AWS-B-ESS) |
7.00 |
0.70 |
|
Description: AWS Business Essentials helps IT business decision makers understand the benefits of cloud computing and how a cloud strategy can help you meet your business objectives. In this course we discuss the advantages of cloud computing for your business and the fundamentals of AWS, including financial benefits. This course also introduces you to successful cloud adoption frameworks so to help you consider the AWS platform within your cloud computing strategy.
# of Days:
Setting:
|
| AWS Cloud Practitioner Essentials |
7.00 |
0.70 |
|
Description: The fundamental-level full day course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. It includes lab exercises reinforcing some of the core concepts of the lecture. This course also helps you prepare for the AWS Certified Cloud Practitioner exam. This course includes AWS Training Exclusives.
Skills Gained
Define what the cloud is and how it works
Differentiate between cloud computing and deployment models
Describe the AWS Cloud value proposition
Describe the basic global infrastructure of the cloud
Compare the different methods of interacting with AWS
Describe and differentiate between AWS service domains
Given a scenario, identify an appropriate solution using AWS Cloud services
Describe the Well-Architected Framework
Describe basic AWS Cloud architectural principles
Explain the Shared Responsibility model
Describe security services with the AWS cloud
Define the billing, account management, and pricing models for the AWS platform
Identify future services and developments built on the cloud
Who Can Benefit
Sales
Legal
Marketing
Business analysts
Project managers
AWS Academy students
Other IT-related professionals
# of Days:
Setting:
|
| AWS Discovery Day |
3.00 |
0.30 |
|
Description: This course is designed to teach business leaders and IT technical professionals the benefits of computing in the AWS Cloud. This course covers AWS services for computing, storage, database management, networking, and content delivery. In this 3-hour course, you will learn how to use AWS services to improve business processes and also gain an understanding of how to benefit from AWS security and compliance services.
Skills Gained
Define the cloud and how it works
Explain the benefits of the AWS Cloud
Describe the basic global infrastructure of the cloud
Gain a deeper understanding of AWS core services
Explain the shared responsibility model
Describe security services with the AWS Cloud
Who Can Benefit
Business leaders and IT-technical professionals
Learners who want to learn about basic cloud concepts, AWS Cloud terminology, and AWS core services
# of Days:
Setting:
|
| AWS Technical Essentials (AWS-T-ESS) |
7.00 |
0.70 |
|
Description: AWS Technical Essentials introduces you to AWS products, services, and common solutions. It provides IT technical end users with basic fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.
# of Days:
Setting:
|
| AWS: Advanced Architecting on AWS |
21.00 |
2.10 |
|
Description: Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform. Building on concepts introduced in Architecting on AWS, this course covers how to build complex solutions that incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, including AWS Direct Connect and AWS Storage Gateway to support hybrid architecture. It also covers designing best practices for building scalable, elastic, secure, and highly available applications on AWS.
# of Days:
Setting:
|
| AWS: Developing on AWS |
21.00 |
2.10 |
|
Description: Developing on AWS helps developers understand how to use the AWS SDK to develop secure and scalable cloud applications. The course provides in-depth knowledge about how to interact with AWS using code and covers key concepts, best practices, and troubleshooting tips.
Skills Gained
This course is designed to teach you how to:
Set up the AWS SDK and developer credentials for Java, C/.NET, and Python
Interact with AWS services and develop solutions by using the AWS SDK
Use AWS Identity and Access Management (IAM) for service authentication
Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores
Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions
Use Web Identity Framework and Amazon Cognito for user authentication
Use Amazon ElastiCache to improve application scalability
Use containers in the development process
Leverage the CI/CD pipeline to deploy applications on AWS
# of Days:
Setting:
|
| AWS: DevOps Engineering on AWS |
21.00 |
2.10 |
|
Description: DevOps Engineering on AWS demonstrates how to use the most common DevOps patterns to develop, deploy, and maintain applications on AWS. The course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small and medium-sized business, and enterprise development scenarios.
Skills Gained
This course is designed to teach you how to:
Use the principal concepts and practices behind the DevOps methodology
Design and implement an infrastructure on AWS that supports one or more DevOps development projects
Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues
# of Days:
Setting:
|
| Deep Learning on AWS |
7.00 |
0.70 |
|
Description: Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning (DL) solutions on Amazon Web Services (AWS). The training will detail how deep learning is useful and explain its different concepts. This course also teaches you how to run your models on the cloud using Amazon SageMaker, Amazon Elastic Compute Cloud (Amazon EC2)-based Deep Learning Amazon Machine Image (AMI) and MXNet framework. In addition, you will gain a better understanding of deploying your deep learning models using AWS services like AWS Lambda and Amazon EC2 Container Service (Amazon ECS) while designing intelligent systems on AWS, based on Deep Learning.
# of Days:
Setting:
|
| Practical Data Science with Amazon SageMaker |
7.00 |
0.70 |
|
Description: In this intermediate-level course, individuals learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use cases include customer retention analysis to inform customer loyalty programs.
# of Days:
Setting:
|
| Systems Operations on AWS |
21.00 |
2.10 |
|
Description: System Operations on AWS is designed to teach those in a Systems Administrator or Developer Operations (DevOps) role how to create automatable and repeatable deployments of networks and systems on the AWS platform. The course covers the specific AWS features and tools related to configuration and deployment, as well as common techniques used throughout the industry for configuring and deploying systems.
# of Days:
Setting:
|
| The Machine Learning Pipeline on AWS |
28.00 |
2.80 |
|
Description: Learn how to use the machine learning (ML) pipeline with Amazon SageMaker with hands-on exercises and four days of instruction. You will learn how to frame your business problems as ML problems and use Amazon SageMaker to train, evaluate, tune, and deploy ML models. Hands-on learning is a key component of this course, so youll choose a project to work on, and then apply the knowledge and skills you learn to your chosen project in each phase of the pipeline. Youll have a choice of projects: fraud detection, recommendation engines, or flight delays.
# of Days:
Setting:
|