APJ Startup Resource Hub
Explore all resources to build, launch & scale your startup.
Generative AI for every startup
Easily build and scale generative AI on AWS
Boost your startup with AWS Activate
How to build a startup primed for scale and success
How 6 startups build, launch, and grow with AWS Activate
Unleash your startup’s potential with AWS credits, member offers, and more
Boost your startup application while lowering costs
8 ways to reduce cloud costs and innovate more for virtually every application
Cloud-to-AWS migration guide for startups
Why leading startups move their workloads to AWS
3 ways to optimize your startup spend
How startups can cut costs and grow faster on AWS
Accelerate full-stack web and mobile app development for startups
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.
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.
How to run virtually any workload
Explore how startups are using AWS services to increase workload performance while reducing costs.
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.
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.
Managing the data process for machine learning
A reference guide focusing on managing the data for your machine learning practice.
Top 7 machine learning use cases for startups
Learn how leading startups achieve fast, efficient, measurable results with machine learning.
Confessions of a Startup data scientist
Unlock the potential of your data to accelerate innovation and grow your startup.