Enroll Course: https://www.udemy.com/course/mastering-aws-lambda-functions/
If you’re a data engineer looking to deepen your understanding of serverless architecture and AWS services, the ‘Master AWS Lambda Functions for Data Engineers using Python’ course on Udemy is an excellent choice. This course offers a hands-on, end-to-end approach to building scalable data pipelines using AWS Lambda and various AWS services such as S3, DynamoDB, ECR, CloudWatch, Glue Catalog, and Athena. One of the standout features of this course is its practical methodology. You will learn how to develop, deploy, and troubleshoot Lambda functions using different deployment methods, including zip files and custom Docker images. The course also covers setting up your development environment on Windows and Mac, which is particularly helpful for learners with diverse setups. A highlight is the detailed walkthrough of creating an orchestrated pipeline that integrates S3 events, Lambda triggers, and scheduled executions with EventBridge. The inclusion of real-world applications, like transforming data into Parquet format and querying it with Athena, ensures you gain skills applicable directly to your projects. The instructor provides comprehensive resources, including full codebases and notebooks, making it easier to follow along and replicate the solutions. Whether you’re looking to automate data ingestion, processing, or build robust serverless data solutions, this course equips you with the necessary tools and knowledge. I highly recommend it for data professionals eager to master AWS Lambda and related services in a practical, project-based manner.
Enroll Course: https://www.udemy.com/course/mastering-aws-lambda-functions/