In this session, we'll learn how to integrate Copilot Studio with Azure Services like Azure AI Foundry and Azure AI Search.

We will create a multi-agent using Copilot Studio and Azure AI Foundry with multiple capabilities, mixing pro-code and low-code worlds in a fusion team integration.

- We'll show how to integrate Copilot Studio with Dataverse using Power Automate flows through actions, leveraging the AI Orchestrator the power to decide when to use them. We'll implement a complete Hotel Reservation process to create a Hotel Reservation Assistant chatbot.

- We will show how to compose an Azure AI Search index through an agent that will do a webscrapping of web content using AI parsing to extract destination activities description, enhance them using Azure AI Foundry and fill the Azure AI Search Voctor Index on the fly. We'll integrate this index with the Hotel Reservation Assistant chatbot using Azure AI Search Knowledge Sources.

- We'll touch Dynamic Chaining concept by implementing a Nearby Restaurants Finder using Custom Connectors that integrates with Geocoding and Places API. This will allow us the orchestration engine to find places coordinates and then use them to find nearby restaurants.

- We'll also add Speech-to-text and Text-to-speech capabilities to the assistant, using DirectLine integration to expose the chatbot in a website, then use MediaRecorder Javascript APIs to capture user voice and play chatbot messages. Additionally, we use Azure AI Foundry with speak and speech features to convert text to audio and audio to text, creating a full voice experience for the chatbot.

- Finally, we integrate some useful travel APIs like flight information, weather, touristic destination information, and so on.

All this will be story-telled by a Travel Assistant wrapper, that will allow us to connect the different pieces of technology in a centralized system.