Amazon Web Services
Obtaining Access to AWS Free Tier and the AWS Educate Program
There are two types of accounts you can create with AWS. The AWS Educate program provides access to learning materials related to AWS tools and services. The AWS free tier provides a base set of AWS credits and tool access to allow you to directly use AWS services and build your solutions.
AWS accounts are managed by Amazon Web Services and require a credit card. You are under no obligation to create an AWS account for the Nittany Ai Challenge, and other services are available without a credit card requirement.
To create your AWS Educate account, go to https://www.awseducate.com/ and follow the Register Now prompts.
To create an AWS Free Tier account, go to https://aws.amazon.com/free/ and follow the Create a Free Account prompts.
Tools for Amazon Web Services
An index highlighting the primary developer tools, SDKs, IDE Toolkits, and Command Line Tools for developing and managing AWS applications.
Getting Started Resource Center
From core concepts to beginner tutorials, find the information you need to start building on AWS.
AI and Machine Learning on AWS
An overview of AI and machine learning capabilities on Amazon Web Services.
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text.
With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly
and easily build sophisticated, natural language, conversational bots (“chatbots”).
Amazon Polly is a Text-to-Speech service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
Amazon Rekognition makes it easy to add image and video analysis to your applications. Rekognition is based on the same proven, highly
scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily.
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their
Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation.
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy
machine learning models at any scale.
Deep Learning on AWS
You can quickly launch Amazon EC2 instances pre-installed with popular deep learning frameworks, such as Apache MXNet and TensorFlow to
train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques.
The AWS Machine Learning Blog
Visit the AWS Machine Learning Blog to explore AI and Machine Learning through tutorials, guidance, best practices, and tips and tricks.
A few blog highlights to get you started:
- Discovering and indexing podcast episodes using Amazon Transcribe and Amazon Comprehend
- Create a translator chatbot using Amazon Translate and Amazon Lex
- Build a model to predict the impact of weather on urban air quality using Amazon SageMaker
- The Serverless Bot Framework
- Amazon Web Services YouTube Webinar Channel
- Amazon Web Services YouTube Webinar Channel – AI Focus
- Amazon Web Services 10 Minute Tutorials
- Amazon Web Services Training and Certification
- Amazon SageMaker Overview and Documentation
- AWS Machine Learning Sample Code on GitHub
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Access comprehensive documentation for all aspects of Amazon Web Services
AWS Developer Forums
An active forum for all aspects of AWS related development