At the fundamental awareness level, individuals are expected to have a basic understanding of AWS Lex and its purpose. They should be familiar with the AWS Management Console and understand the concept of chatbots. However, they may not yet have hands-on experience with creating or managing bots.

Novices should be able to create simple bots using AWS Lex, define intents, utterances, and slots, and test a bot in the AWS Lex console. They should also understand the role of Amazon Lambda in AWS Lex. At this stage, they may still need guidance and supervision when working on more complex tasks.

At the intermediate level, individuals should be capable of integrating AWS Lex with other AWS services and building conversational interfaces. They should know how to implement error handling and use versioning and aliases. They can handle moderately complex tasks and solve common problems.

Advanced users are expected to design complex conversation flows, manage session attributes, secure AWS Lex bots, and optimize bot performance. They should also be able to implement context switching in conversations. They can handle most tasks independently and troubleshoot effectively.

Experts should be proficient in designing and implementing multi-turn conversations, troubleshooting AWS Lex bots, and implementing advanced features like sentiment analysis and speech recognition. They should also be able to scale and optimize AWS Lex for high-volume usage and integrate it with external systems and APIs. Experts can handle any task, including highly complex ones, independently.