AI-102 Designing and Implementing a Microsoft Azure AI Solution

Choose appropriate activity handlers, dialogs or topics, triggers, and state handling for a bot

Determine a default endpoint for a service

Optimize a Language Understanding (LUIS) model

Design conversational logic for a bot

Implement a Custom Vision model as a Docker container

Monitor an Azure AI resource

Train evaluate, deploy, and test a language understanding model

Implement incremental enrichment

Manage costs for Azure AI services

Export a model to run on a specific target

Create entities

Implement custom skills and include them in a skillset

Configure diagnostic logging

Publish a trained model

Create intents and add utterances

Select and include built-in skills for documents