As a startup founder, you’re turning your idea into a creation. To validate it, you’ll build a minimum viable product (MVP) and take it to market.
Read ebook to know more about best practices for building an extensible MVP on AWS.
Most Recent Flipbooks
Startup path to ML success
This ebook is designed to help startups forge ahead, outlining a proven path—from the first step to measuring results—with insights from AWS’s own machine learning heritage.
Top 7 machine learning use cases for startups
Learn how leading startups achieve fast, efficient, measurable results with machine learning.
Modern Apps for startups
In this ebook, you’ll learn how modern applications enable and support a culture of ownership and drive innovation and why developers are increasingly using microservices architecture.
Managing the data process for machine learning
A reference guide focusing on managing the data for your machine learning practice.
Confessions of a Data Scientist
This ebook explores how some data scientists are leveraging flexible, cost-effective technology, frameworks, and infrastructure to streamline their AI and ML processes on AWS.
How to run virtually any workload
Explore how startups are using AWS services to increase workload performance while reducing costs.
Activate & Loft - Startup Programs
From technical support to architecture guidance to up to $100,000 in AWS credits*, AWS Activate provides startups with the resources they need to build, launch, and scale on AWS.