In this episode, we will be joined by two recent graduates, Varvara and Ala, both based in London, who will tell us about their experiences as members of the AWS Graduate Program. You will have a chance to learn how to make your first professional steps if you’re still studying or are fresh out of college. And as always, we'll feature a hands-on demo! This time we will have a sneak peak at a sustainability hackathon, one of the extra initiatives aimed to increase competencies and make an impact by AWS’s Graduates.
Our guest for this episode is Nadia Reyhani. Nadia is a full-stack developer and DevOps engineer at Mechanical Rock, Australia's leading cloud native consultancy.
In this episode Nadia will talk about using Amazon Bedrock to present a storytelling view using AI-generated text and images.
In this episode, Senior AI/ML Specialist, Romina Sharifpour is our guest. She talks about how her current interests lead to her career in Machine Learning and answers audience questions from algorithms to recommended ways to get into careers in Machine Learning.
She demos Amazon Bedrock, which is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. You can leverage these FMs via a single API, along with a broad set of capabilities you need to build generative AI applications,
In this episode we are joined by Technology Influencer Kesha Williams from Slalom, who is an AWS ML Hero and AWS Ambassador will be our guest. Learn how she leveraged Machine Learning to predict crime. This episode will dive deep into the architecture and anyone interested in the technology is welcome to join
Generative AI is a powerful technology that can generate realistic and creative content. AWS provides a comprehensive platform for building and deploying Generative AI solutions. With partnerships with foundation model providers like StabilityAI and Hugging Face, Amazon SageMaker offers state-of-the-art infrastructure and tools for developers and businesses.In this session, we will help you to discover the power of Generative AI and learn how to build innovative solutions on Amazon SageMaker. Explore the current landscape and state-of-the-art techniques in Generative AI, and see how Amazon SageMaker provides the ideal platform for implementation.
Our guest, Melanie Li is a Senior AI/ML Specialist Technical Account Manager at AWS based in Sydney, Australia. She helps enterprise customers to build solutions leveraging the state-of-the-art AI/ML tools on AWS and provides guidance on architecting and implementing machine learning solutions with best practices. She holds a PhD degree from Macquarie university. Prior to joining AWS, she has worked as a data scientist in financial and retail industries.
Episode 22 - Security as top priority
In this episode we are joined by Technology Influencer Kesha Williams from Slalom, who is an AWS ML Hero and AWS Ambassador will be our guest. Learn how she leveraged Machine Learning to predict crime. This episode is business focused and tailored to IT professionals and architects; however, anyone interested in the topic is welcome to join!
This episode recorded at re:Invent 2022 talks about what the AWS She Builds Tech Skills show is all about with our hosts based globally in APJ, EMEA and North America.
We then dive into how the APJ hosts, May Kyaw and Mai Nishitani became a Solutions Architect and the career path leading up to it. We talk about what we do as Solutions Architects on a daily basis so you might be encouraged to apply for a similar role in the future.
Episode 19 -Automatic content tagging using Amazon AppFlow and AWS AI Services
In this session, our guest Jyothi Madanlal who is a Solutions Architect from AWS talks about tools to help build your applications for the cloud. She will be showing us a demo with tools including AWS CDK, and Amazon CodeCatalyst, as well as dive into two golden pathways with AWS Lambda, and Amazon Fargate. Make your next workload a delightful experience to develop, deploy, and operate.
You can also view the video of this session here at the AWS She Builds YouTube channel https://youtube.com/live/NFDA6R4hQQI
Episode 17 - Infrastructure as Code
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