Reducing the cost of AI & ML learning projects (Hebrew)

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Join us to a one hour Webinar on how to reduce the development and running cost of your machine learning projects:Reducing TCO by utilizing the cloud to build on top of fully managed servicesAchieving project MVP faster and cheaper.Reducing cost of creating an annotated dataset: outsourcing workers, active learning and high quality annotations.Reducing time and cost for training and tuning models: experiment faster, achieving scale-efficiency by choosing the right hardware and framework, utilizing Spot instance.Reducing cost for hosting and monitoring models: multi-model endpoints and autoscaling, model monitoring and cost-efficient hardware accelerators (GPUs and ASIC chips).Target audience: ML engineers, devops, data scientists, R&D managers. Very basic familiarity with cloud services is assumed. Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1

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☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.

#AWS
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AWS Developers
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Amazon Web Services, AWS, AWS Online Tech Talks
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