Advanced AI Analytics on AWS: Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight

Learn to leverage AI-enhanced analytics tools like Amazon Bedrock, QuickSight, and SageMaker to enhance traditional analytics methods and optimize performance.

Course details
Discover how to elevate your data analytics skills using AI-enhanced tools on AWS. In this course, MLOps expert Noah Gift shows you how to integrate Amazon Bedrock for advanced code analysis and Amazon SageMaker Data Wrangler for efficient data processing. Find out how to use Amazon Q and QuickSight. Explore practical examples and real-world scenarios where AI can optimize your existing workflows and reduce costs significantly. Learn how to automatically detect anomalies, generate visual stories, and create a comprehensive data narrative. Step through the methodology for leveraging AI to enhance traditional processes and improve overall performance. This course provides valuable insights into making your analytics pipeline more efficient and cost-effective. When you complete the course, you’ll be equipped to apply AI tools to drive decision-making and achieve better business outcomes.

This course was created by Noah Gift and Pragmatic AI Labs. We are pleased to host this training in our library.

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