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.
The only thing keep this from being yet another excellent AWS offering are disconnects between the Lab Instructions and the Current State of the AWS Management Console
I have gained a lot of skills through these courses. Well design and presented in a simpler format.
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Instructions/workarounds can be provided on navigating certain access issues during labs
couldve had more keynotes, definitions and closed captions
A was expecting more hands on or playground experience.
The lab does not work and issues on raising ticket does not gets answered or rectified. I would recommend to use AWS Skill Developer
The lab task is paid but still in the module.wasted my whole time on it .its useless
very bad learning experience
course does not work
I have gained a lot of skills through these courses. Well design and presented in a simpler format.
Very clear and provides basic information for those of us who are unfamiliar with the subject.
Nice course... I can identify the basics of ai
Amazing experience, loved it, Thanks Amazon
Good course to kickstart AI journey.
Good source of learning AI
Very good and engaging
Great course
interesante
The only thing keep this from being yet another excellent AWS offering are disconnects between the Lab Instructions and the Current State of the AWS Management Console
It's great course