AWS - Planning and Designing Databases on AWS
You will learn about the process of planning and designing both relational and nonrelational databases.
You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon
EC2). You will learn about our relational database services including Amazon Relational Database Service
(Amazon RDS), Amazon Aurora, and Amazon Redshift. You will also learn about our nonrelational database
services including Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, an
1 Day

AWS - Practical Data Science with Amazon SageMaker
You will 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 case includes customer retention analysis to inform customer
3 Days

AWS - Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)
Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and
maintain your own Kubernetes control plane. In this course, you will learn container management and
orchestration for Kubernetes using Amazon EKS.
3 Days

AWS - Security Engineering on AWS
This course demonstrates how to efficiently use AWS security services to stay secure in the AWS Cloud. The
course focuses on the security practices that AWS recommends for enhancing the security of your data and
systems in the cloud. It highlights the security features of AWS key services including compute, storage,
networking, and database services. You will also learn how to leverage AWS services and tools for
automation, continuous monitoring and logging, and responding to security incidents.
4 Days

AWS - The Machine Learning Pipeline on AWS
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.
2 days

AWS Cloud for Finance Professionals
Course description
In this course, you will learn how finance professionals can use Amazon Web Services (AWS) to adopt cloud
in a fiscally responsible manner. You will gain foundational knowledge to help you manage, optimize, and
plan cloud spend. You will learn how to influence your organization’s builders to be more accountable and
cost conscious. Finally, you will consider how you can use AWS to innovate in your finance organization.
• Course level: Fundamental
• Duration: 2 days
1 Day

AWS Migration Essentials
- Price: $900.00
- Next Running: 19 Feb
This course is intended to provide solutions architects with the foundational knowledge required to
successfully plan and perform lift and shift migrations to the AWS Cloud. In this course you will learn about
methodologies for discovering, planning, performing, and tracking migrations by using various AWS tools
and services.
• Course level: Fundamental
• Duration: 1 day
1 day

AWS Security Best Practices
- Price: $900.00
- Next Running: 20 Feb
Currently, the average cost of a security breach can be upwards of $4 million. AWS Security Best Practices
provides an overview of some of the industry best practices for using AWS security and control types. This
course helps you understand your responsibilities while providing valuable guidelines for how to keep your
workload safe and secure. You will learn how to secure your network infrastructure using sound design
options.