This session with Andy Tran will give you a quick start on utilising AWS machine learning (ML) across four common use cases for startups so that you have the confidence to build ML into your applications right away.

Key Takeaways

Introduction to AI/ML Why AWS AI/ML for startups
Understanding the AWS ML stack
Four common use cases for AI services Programs to help startups get started on AWS AI/M

About the Speaker

Andy Tran, Principal Solution Architect, AWS - Andy is a Solutions Architect at AWS working with Startups in Australia and New Zealand (ANZ). Prior to joining the ANZ team, he was with AWS ASEAN working with Startups in Singapore and other countries in ASEAN. Prior to AWS, Andy has had 20+ years of experience mainly in the US holding senior-level positions at enterprise and startup technology companies at the intersection of product strategy, innovation, sales, customer/partner development, marketing and engineering, including Travellers, Microsoft, and Equinix. Andy has co-founded or held pivotal positions at five different Startups.

----

About Fishburners
Fishburners is much more than a co-working space. We are a not-for-profit, passionate community of 300+ scalable tech startups that only exists thanks to our amazing sponsors - Google for Startups, UTS, Chartered Accountants, and Jobs for NSW. We are dedicated to inspiring and helping startups get started, grow and succeed. Our goal is to make the hardest thing you’ve ever done easier! We do this through our different memberships which provide the facilities, resources, learning and development, mentoring, and connections that you need for your idea to come to life and flourish. We also open our doors and host some of the largest, regular events in the Australian startup ecosystem, including our weekly lunch & learn workshops, and Shark Tank-style, Friday night pitches. Member or not, you're welcome to attend and/or get involved! Any questions about memberships or events, please feel free to email events@fishburners.org.

Contact the host of Lunch & Learn: Getting Started with AWS Machine Learning Tools