AWS Networking, Storage, Data Systems & AI Innovation

Connect data and services across the AWS Cloud

Modern cloud environments depend on more than compute power. They also need reliable networking, flexible storage, effective data systems, and services that help organisations turn information into useful insights.

On this course, you’ll explore the AWS services that connect cloud resources, store and manage data, and support modern data-driven and AI-enabled applications.

You’ll see how these capabilities work together as part of a broader cloud environment.

Navigate AWS networking and connectivity

Explore the core components and services used to connect AWS resources and manage communication across cloud environments.

You’ll examine how networking supports secure, reliable access between applications, services, and users.

Manage storage and database services

Discover AWS storage options, storage tiers, and data lifecycle policies, including how services such as Amazon Simple Storage Service (Amazon S3) support different data requirements.

You’ll also explore AWS database services and migration tools used to store, organise, and move information.

Explore data pipelines, AI, and machine learning

See how AWS supports data processing and innovation through AI and machine learning services, generative AI capabilities, and extract, transform, load (ETL) data pipelines. You’ll consider how these services can support analytics, automation, and intelligent applications.

By the end, you’ll understand how AWS networking, storage, databases, and data services work together to support connected, data-driven cloud solutions.

This course is for learners who understand AWS Cloud fundamentals and want to explore networking, storage, databases, data pipelines, and AI services. It is suitable for both business and technical learners progressing through the AWS pathway.

This course is for learners who understand AWS Cloud fundamentals and want to explore networking, storage, databases, data pipelines, and AI services. It is suitable for both business and technical learners progressing through the AWS pathway.

• Identify core AWS networking components and services used to manage and secure cloud connectivity.
• Describe AWS storage options, storage tiers, and data lifecycle policies, including Amazon S3.
• Discuss AWS database services and migration tools used to store, organize, and move data.
• Explore the role of ETL data pipelines, AI/ML services, and generative AI in supporting analytics and automation.
• Investigate how AWS networking, storage, and data solutions integrate to form connected cloud environments.