What are AI AWS Services?

Artificial intelligence, or AI, is growing more and more in popularity, so it’s worth learning how to use AI services. AWS has its own set of 20+ services, ranging from Amazon Rekognition to Textract to Forecast. These are very useful because it allows developers to automate simple tasks without extensive machine learning knowledge. For example, with Amazon Lex, you can create chatbots that can help customers without human intervention.

The following diagram shows a list of every AWS AI and ML service.

At the bottom, we have our machine learning frameworks; these take the most skill and most time to develop, although they leave you with the most control and customization over your infrastructure.

The top of the chart shows the AI services mentioned previously, such as Amazon CodeGuru and Amazon Kendra. These require far less technical expertise and are much quicker to use than the ML frameworks, although you get considerably less control.

Finally, we have the machine learning services, which are a bit of a middle ground. You can use services such as Amazon Sagemaker if you have some machine learning knowledge and only need some control.

Every level of the AI/ML stack has its own pros and cons; every business will have different needs and will require different resources.

I also made a video briefly explaining every AI service and its purpose, so make sure to watch it if you’re interested!

Written by

Aariv Modi

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Aariv Modi is a blogger, programmer, Alexa skill developer, and AI enthusiast. He is in 9th grade at Round Rock High School and has created several Alexa skills and mobile apps. Aariv was recognized as the Voice/AI Pioneer of the Year by Project Voice in 2021 for his contributions to the conversational artificial intelligence industry. He is also the youngest AWS Certified Alexa Skill Builder and AWS Certified Machine Learning professional. Aariv has contributed much of his learning with the Alexa and voice community through his blog and social media channels such as LinkedIn, YouTube, and Twitter. During the COVID-19 lockdown, he taught hundreds of kids how to develop Alexa skills through webinars, camps, and posts on his website. He was the youngest presenter at several international voice and AI conferences, such as Project Voice 2020, VOICE Global 2020, and VOICE Summit 2020.
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