Practical GenAI for AWS DevOps: Efficiently Design, Script, Debug, and Diagnose

Get up to speed with the latest generative tools (GenAI) available for AWS DevOps. In this course, instructor Lynn Langit outlines essential skills on leveraging powerful tools like ChatGPT, Google Gemini, Claude.ai, and Amazon Q to streamline AWS DevOps workflows. Discover practical demos on designing, scripting, debugging, and diagnosing AWS architectures, using GenAI to optimize tasks such as IAM permissions, VPC configurations, and resiliency planning. By focusing on real-world applications, this course equips you with in-demand skills to efficiently integrate GenAI into your AWS DevOps processes, enhancing productivity and scalability.

Learning objectives
Analyze how GenAI tools can optimize AWS DevOps tasks, including architecture design, scripting, debugging, and diagnosing.
Design AWS architectures using GenAI tools like ChatGPT and Google Gemini to improve efficiency and scalability.
Evaluate AWS architectures for best practices and validate them as well-architected using GenAI tools like Claude.ai.
Create scripts and documentation for AWS services—IAM, S3, EC2, and SageMaker—using GenAI tools to streamline DevOps workflows.
Diagnose AWS configurations, such as IAM permissions and VPC networks, using GenAI tools to ensure security and reliability.