Building on your existing AWS knowledge, this course takes you on a deep dive into key AWS services and capabilities. You'll explore cloud migration strategies, database options, data analytics tools, and AI/ML services - gaining hands-on experience through simulations and demos. Guided by the best practices of the AWS Well-Architected Framework, you'll develop the skills to design and deploy robust, secure, and cost-effective cloud solutions.
In this four-part series, you'll learn key AWS concepts and services to understand and use the AWS Cloud. In part four, you'll explore cloud migration strategies, database options, data analytics tools, generative AI, and machine learning services.
Course objectives
In this course, you will learn to:
- Understand the key considerations and strategies for migrating workloads to the AWS Cloud
- Explore the various database services offered by AWS and how to select the right option for your needs
- Learn about data analytics pipelines using services like Amazon Athena, EMR, Glue, and Redshift
- Discover AWS artificial intelligence and machine learning services, including Kendra, Lex, Transcribe, and SageMaker
- Understand the key terminology related to cloud architecture, including availability, reliability, scalability, and elasticity
- Apply Well-Architected Framework best practices across the migration, database, analytics, and AI/ML domains
- Develop techniques for retaining AWS knowledge, such as using AWS Skill Builder and Cloud Quest resources
- Prepare for the AWS Certified Cloud Practitioner certification exam through targeted training and practice
- Identify resources and strategies for continuous learning and skill development beyond the course
Intended Audience:
This course is intended for one or more of the following personas:
- Individuals who are curious about AWS Cloud technologies.
- Individuals in both technical and non-technical roles.
- Individuals looking reskill for the AWS Cloud.
- Business decision makers.
Prerequisites
- Ability to use desktop and laptop computers.
- Understanding of the internet and how to navigate web pages.
- Understanding of physical networking, protocols, virtual desktops, and servers.
- Understanding of physical storage devices.
- Understanding of AWS global infrastructure.
- Understanding of AWS networking services and how to build a functioning Amazon VPC solution.
- Understanding of Amazon S3, Amazon EBS, and Amazon EFS.
- Understanding of AWS security services.
- Understanding of virtual computer services using Amazon EC2.
These skills can be gained by taking the following AWS Skills Center course:
- [Computer Foundations Series]Parts 1-4
- [Becoming a Cloud Practitioner Part 1]
- [Becoming a Cloud Practitioner Part 2]
- [Becoming a Cloud Practitioner Part 3]
Course outline
- [Topic A] Storage in the AWS Cloud
- What and why we store data
- AWS file storage
- AWS object storage
- AWS block storage
- [Topic B] Databases in the AWS Cloud
- What databases are used for
- Database deployment
- Database types
- Accessing data in a database
- [Topic C] Data Analytics in the AWS Cloud
- Data analytic services
- Streaming data services
- Reporting with Amazon QuickSight
- [Topic D] Artificial Intelligence on AWS
- Data analytic services
- Streaming data services
- Reporting with Amazon QuickSight
- [Topic E] Migration to the AWS Cloud
- Migration to the AWS Cloud
- Cloud migration strategies and considerations
- AWS services for migration planning and execution
