This course is suitable :

if you are a developer
if you have an operations background and aiming for a career as cloud engineer, or you are a hands-on architect
if you have some or deep knowledge of particular AWS services. For example: you already built a platform using EC2 and RDS. So you have some basic knowledge of general components like IAM and VPC, but you have barely touched other services like Machine Learning and Serverless
even if you already have passed the AWS accreditations (business / technical), read the whitepapers like Well-Architected Framework and Introductions of all AWS Services, or passed the official AWS foundations exam

Cloud Landing Zone: Setup a secure environment with IAM, VPC, Route53, CloudWatch and CloudFormation, where you can ‘land’ all type of workloads.
Enterprise Migration: Learn about connectivity between VPCs and on-premises, how to migrate data and services to the cloud using DMS, Snowball, Active Directory and many more tools.
Develop and Deploy Applications: To deploy developed applications in any programming language to AWS. Think of: Java, .NET, Python, NodeJS, Go, or using Docker technology, you learn to use services like Beanstalk, Opsworks, ECS, EKS.
Big Data & Analytics: Learn to use services like EMR, Redshift, Glue, Kinesis to build data-driven applications and data pipelines.
Machine Learning: Use Sagemaker, Machine Learning Service, and the Machine Learning APIs for speech-to-text and text-to-speech, image recognition, transcribe and translate services, and many more which are rapidly added.

Serverless: Use API gateway, Lambda functions and DynamoDB for the core of your API based web application. Other cloud-native services to develop and deploy applications, without worrying about servers.
CloudFormation: a very short format to learn all the capabilities of a product. With just a few inline comments, we also explain the why and how.
AWS DevOps tools like codepipeline codecommit insight.