AWS Services for AI Solutions

Overview

Accelerate your AI expertise by diving deep into AWS AI services and solution architecture. This course guides you through evaluating and implementing AWS AI services for tasks ranging from generative AI to computer vision. You'll experiment with generative AI on Amazon Bedrock, learn prompt engineering techniques, and learn how AI agents can automate workflows. The course emphasizes practical application, teaching you to design effective AI architectures and integrate various AWS services for storage, databases, data processing, and security. Through hands-on labs, you'll learn to make solid decisions about AI implementation and develop the skills to architect AI solutions.

Syllabus

Module 1: AWS Pre-trained AI Services

In this module, you explore the fundamentals of artificial intelligence (AI) and how AWS makes AI adoption easier through pre-trained services. You gain insight into real-world applications of AI and learn about AWS purpose-built tools for language processing, computer vision, generative AI, and more. Through hands-on examples and guided explanations, you understand how to start using these services and apply them across various business needs.

Module 2: Optimizing FMs with Amazon Bedrock

In this module, you learn how to innovate with generative AI using Amazon Bedrock by exploring prompt engineering, model customization, and task automation. You gain hands-on experience crafting effective prompts and tuning model parameters to optimize AI output. The module also introduces AI agents and outlines how to automate complex tasks using Bedrock’s advanced capabilities.

Module 3: Designing AI Solutions

In this module, you explore the key considerations involved in designing and deploying effective AI solutions on AWS. You learn when to use pre-built AI services versus building custom models, and how to optimize cost, performance, and infrastructure. The module also covers the importance of high-quality data, AWS data services, and best practices for architecting scalable and sustainable AI systems.