Professional Certificate in Streaming Data Processing with AWS Lambda

This course is designed for developers and data engineers seeking to enhance their skills in processing real-time data streams using AWS Lambda. Participants will learn how to leverage AWS Lambda for serverless, scalable data processing, enabling them to build and deploy applications that handle large volumes of streaming data with minimal infrastructure management.

By the end of the course, learners will gain practical experience in designing, developing, and deploying streaming data pipelines using AWS Lambda, Kinesis, and other AWS services. They will also understand best practices for optimizing cost and performance in serverless architectures and be ready to implement real-world solutions for data processing challenges.

1. 1. Introduction to Streaming Data Processing: Learners will understand the basics of streaming data and its importance in modern data processing. They will gain foundational knowledge of streaming data concepts and the role of AWS Lambda in processing streams.
2. 2. AWS Lambda Fundamentals: This module covers the core principles of AWS Lambda, including its architecture, deployment models, and event triggers. Learners will learn how to write and deploy simple Lambda functions.
3. 3. Setting Up AWS Lambda for Streaming Data: Learners will configure AWS Lambda to work with various streaming data sources such as Kinesis Data Streams and Firehose. They will set up necessary permissions and triggers to process incoming data streams.
4. 4. Processing Data Streams with AWS Lambda: This module delves into the practical aspects of processing streaming data using AWS Lambda. Learners will write and optimize Lambda functions to process real-time data streams effectively.
5. 5. Handling State and Context in AWS Lambda: Learners will explore how to maintain state and context in AWS Lambda functions. They will learn about state management techniques and best practices for handling data dependencies and transactions.
6. 6. Advanced AWS Lambda Features for Streaming: This module covers advanced features of AWS Lambda relevant to streaming data processing, such as batch processing, dead-letter queues, and integrating with other AWS services.
7. 7. Monitoring and Logging with AWS Lambda: Learners will learn how to monitor and log AWS Lambda functions to ensure they are performing as expected. They will set up CloudWatch to track function performance and troubleshoot issues.
8. 8. Security Best Practices for AWS Lambda: This module focuses on securing AWS Lambda functions, especially those processing streaming data. Learners will implement security best practices, manage access controls, and ensure compliance with security standards.
9. 9. Optimizing AWS Lambda for Cost and Performance: Learners will learn strategies to optimize AWS Lambda functions for both cost and performance. They will understand cost management techniques and performance tuning tips for efficient streaming data processing.
10. 10. Case Studies and Advanced Topics: In this final module, learners will apply their knowledge through case studies that focus on real-world streaming data processing scenarios. They will explore advanced topics such as integrating AWS Lambda with machine learning services and building scalable architectures.