AWS Developers | Harnessing the Power of Text-to-SQL Machine Learning with Amazon SageMaker - The Grad Project @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
In the realm of Cybersecurity investigations, SQL queries serve as the lifeblood for Security Analysts in their pursuit of critical information. With the advent of Machine Learning, we're revolutionizing the query-tuning process to empower analysts to focus on identifying and addressing critical issues. Join us for a hands-on walkthrough, where you'll learn to harness the power of Text-to-SQL Machine Learning using Amazon SageMaker Studio Lab. This interactive session will equip participants with practical skills to streamline their investigative workflows and enhance the efficiency of their Security efforts.

All the resources for this workshop are available on github.com/build-on-aws/the-grad-project. Or access the Sagemaker studio lab for free (https://studiolab.sagemaker.aws/) and open the notebook (github.com/vxcent/sagemaker_gap_demo/tree/main) in the lab environment to work along with Vince.

Check out https://Community.AWS to learn more about AWS with our community of cloud enthusiasts.



#AWS #Sagemaker