Generative AI Applications

Overview

This Professional Certificate helps learners gain expertise in AI applications using AWS services. Upon completion of three courses, a learner has demonstrated proficiency in AI fundamentals, prompt engineering, and solution architecture. Through hands-on experience with Amazon Bedrock, PartyRock, and other AWS AI services, you’ll know why and how behind responsible AI implementation practices.

Syllabus

Courses under this program:
Course 1: AI Fundamentals and the Cloud

This course introduces you to AI technology, focusing on how different models work and their practical applications.

Course 2: AWS Services for AI Solutions

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.

Course 3: Bringing Ideas to Life Using AI

Supercharge your AI knowledge into practical solutions in this hands-on course. Learn to use generative AI applications to grow your expertise and create real-world solutions, regardless of your professional background.

Courses

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3 weeks, 2-4 hours a week, 2-4 hours a week
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Begin your AI journey by understanding fundamental concepts and ethical considerations of artificial intelligence in the cloud. This course introduces you to AI technology, focusing on how different models work and their practical applications. You'll learn to distinguish between Large Language Models (LLMs) and Foundation Models (FMs), understand responsible AI practices, and gain hands-on experience with Amazon PartyRock. Through practical exercises and real-world examples, you'll develop essential prompt engineering skills and learn how AI can enhance productivity across various job roles. The course concludes with an exploration of key AWS AI services, including Amazon Bedrock, Q Developer, Q Business, and SageMaker, providing you with a solid foundation for AI solution development.
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3 weeks, 2-4 hours a week, 2-4 hours a week
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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.
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3 weeks, 2-4 hours a week, 2-4 hours a week
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Supercharge your AI knowledge into practical solutions in this hands-on course. Learn to use generative AI applications to grow your expertise and create real-world solutions, regardless of your professional background. The course emphasizes practical application development, exploring AI agents, cost considerations, and API interactions. You'll learn how to progress from proof-of-concept to minimum viable product, understand when to use custom models, and learn best practices for privacy and governance. The course concludes with practical guidance on implementing AI solutions responsibly and scaling them effectively.