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Title & Speakers	Event
Event Best Practices to build Scalable AI Solutions on AWS 2023-09-28
Overview of AWS Machine Learning Services 2023-09-28 · 14:00 aws machine learning services amazon sagemaker AWS Lambda
Architectural Considerations for Scalable AI Solutions on AWS 2023-09-28 · 14:00 aws machine learning services amazon sagemaker AWS Lambda
Case Studies and Real-world Examples 2023-09-28 · 14:00 aws machine learning services amazon sagemaker AWS Lambda
Best Practices for Data Preparation and Feature Engineering 2023-09-28 · 14:00 aws machine learning services amazon sagemaker AWS Lambda

Best Practices to build Scalable AI Solutions on AWS 2023-09-28 · 14:00 Join our live webinar on the topic “Best Practices to build Scalable AI Solutions on AWS” and let your teams get an overview of AWS Machine Learning Services covering key platforms like Amazon SageMaker, AWS Lambda, and more. We will also take you through insightful case studies illustrating successful AI deployment in real-world scenarios. Date : Thursday, September 28, 2023 Time: 10:00 AM – 11:00AM EST \\| 60 minutes Register Now : http://tinyurl.com/4mrhd7y2 Agenda : Overview of AWS Machine Learning Services Best Practices for Data Preparation and Feature Engineering Architectural Considerations for Scalable AI Solutions on AWS Case Studies and Real-world Examples Q&A Session	Best Practices to build Scalable AI Solutions on AWS

Join our live webinar on the topic “Best Practices to build Scalable AI Solutions on AWS” and let your teams get an overview of AWS Machine Learning Services covering key platforms like Amazon SageMaker, AWS Lambda, and more. We will also take you through insightful case studies illustrating successful AI deployment in real-world scenarios. Date : Thursday, September 28, 2023 Time: 10:00 AM – 11:00AM EST \| 60 minutes Register Now : http://tinyurl.com/4mrhd7y2 Agenda : Overview of AWS Machine Learning Services Best Practices for Data Preparation and Feature Engineering Architectural Considerations for Scalable AI Solutions on AWS Case Studies and Real-world Examples Q&A Session

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