Learn AWS LEX with Live Project, Slack Integration and CI/CD

Create a lambda function from the hello world python blueprint, name it hello-test, deploy, test with events, and monitor logs as you prepare to integrate with Lex.

Create and configure a Lambda function using the Lex order flowers template to test Lex features, then integrate with Lex in upcoming sessions, paving the way for a live project.

Explore how AWS Lex fulfillment uses a lambda to craft dynamic final messages based on user inputs, returning parameters and handling fixed or dynamic responses for order flows.

Learn to define and validate slot types in AWS Lex, including built-in Amazon date and time and custom slots, and design response cards with images and buttons.

Publish your chat bot beyond the Lex window by using supported channels like Facebook, Kik, Slack, and Twilio for web and mobile deployments.

Monitor a live chat with AWS Lex by tracking usage patterns, requests, missed utterances, and latency in the monitoring tab; use CloudWatch metrics to fine-tune your chatbot and improve performance.

Explore building an AWS Lex live project from scratch, creating intents to manage VMs and S3 buckets, hosting a static site on S3, and integrating with Slack and CI/CD pipelines.

Create an Amazon Lex bot named autopilot, set English language and voice output, enable compliance with the Child Online Privacy Protection Act, and start with a board for 5–6 intents.

Create an AWS Lex intent named instance, capture region, instance type, and ami id with slots and a confirmation prompt, then test the submission flow.

Integrate an AWS Lex bot with Slack by creating a Slack app, configuring interactivity and permissions, and publishing to a workspace to run commands like start, stop, and help.

Set up your GitLab free account by signing up with your Gmail or Google login, enter your name, username, email, and password, accept terms, and access GitLab.

Configure a GitLab CI/CD pipeline to build and deploy an AWS Lambda function. Commit a Python file, create a GitLab YAML, and zip the package for deployment.

Set up a GitLab CI pipeline to package a Lambda zip and upload it to an S3 bucket, using an IAM role with S3 and Lambda access for versioned artifacts.

Configure a GitLab deployment job to update a Lambda function using a packaged zip from an S3 bucket, specifying function name and region, with a manual approval in CI/CD.