Delivering Data-Driven Decisions with AWS: Applying Machine Learning, Data Engineering, and Generative AI

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Wendy Wong

1:50:42

16 View

01 - Introduction

01 - Deliver data-driven decisions with AWS.mp4

00:34

02 - 1. Getting Started in Generative AI with Amazon CodeWhisperer

01 - Overview of generative AI.mp4

01:50

02 - Introduction to Amazon CodeWhisperer.mp4

04:42

03 - Installing Amazon CodeWhisperer.mp4

04:20

04 - Navigating Amazon CodeWhisperer for EDA and PCA.mp4

11:33

03 - 2. Getting Started with Amazon Redshift Serverless

01 - Overview of lakehouse architecture.mp4

04:04

02 - Introduction to Amazon Redshift Serverless.mp4

04:18

03 - Exploring common use cases.mp4

05:00

04 - Navigating to Amazon Redshift Serverless.mp4

10:28

04 - 3. No Code ETL on AWS Glue and AWS Glue Studio

01 - Understanding AWS Glue and AWS Glue Studio.mp4

04:52

02 - Transforming data with AWS Glue Studio and generative AI.mp4

21:15

05 - 4. Making Predictions with Amazon SageMaker Canvas for No Code ML

01 - Introduction to machine learning in the real world.mp4

04:34

02 - Introduction to Amazon SageMaker Canvas.mp4

04:18

03 - Linear regression with Jupyter Notebook.mp4

11:37

04 - Linear regression with Amazon SageMaker Canvas.mp4

15:45

06 - Conclusion

01 - Learning more about AWS data services.mp4

01:32

Description

AWS skills are in high demand as startups, consulting firms, and enterprises modernize their applications and transform data. Data analytics cannot scale without the help of cloud computing. In this course, instructor Wendy Wong teaches AWS skills with practical applications of machine learning, data engineering, and generative AI to help you make faster decisions for your organization and customers. This course guides you through the process of learning AWS skills with practical scenarios that complement agile projects and upskill in a no-code or low-code environment to deliver customer solutions that can be solved through machine learning, AI, data engineering, and data analytics at scale with cloud computing.

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Machine Learning

Data Science

Artificial Intelligence

Wendy Wong

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.