# LearnAI-CogSrvsAndBots

**Repository Path**: mirrors_Azure/LearnAI-CogSrvsAndBots

## Basic Information

- **Project Name**: LearnAI-CogSrvsAndBots
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-08
- **Last Updated**: 2026-04-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Welcome to Building with Cognitive Services: Bing Search, Bots V4 SDK and Custom Vision

We will focus on hands-on activities that develop proficiency in Azure Cognitive Services including Computer Vision, Custom Vision, LUIS, and Bing Search. You will also learn to leverage other AI-oriented services such as the Azure Bot Services. These labs assume an introductory knowledge of these services. 
 

# Goals

Most challenges observed by customers in these realms are in stitching multiple services together. As such, where possible, we have tried to place key concepts in the context of broader examples. 

At the end of this 300-level workshop, you should be able to:

- Build an application that calls various Cognitive Services APIs (specifically Bing Search, Computer Vision, LUIS and Custom Vision)
- For Cognitive Services, determine what to use when and how to combine multiple to increase the intelligence and capabilities of bots/apps 
- Build, train, and publish a LUIS model to help your bot communicate effectively
- Build an intelligent bot using Microsoft Bot Framework that leverages LUIS and Azure Search
- Effectively leverage the custom vision service to create object detection services that can then be leveraged by an application

# Agenda

Please note: This is a rough agenda, and the schedule is subject to change pending class activities and interaction. Also note that the numbering here will not always be the same as the numbering in the references. This airlift is a combination of several courses.

- Day 1: Cognitive Services
- 9:00 - 9:30: Introduction
- 9:30 - 10:00: [Cognitive Services](https://github.com/Azure/LearnAI-DesigningandArchitectingIntelligentAgents/blob/master/05-cognitive_services/1_session.ipynb) and [PictureBot Introduction](https://github.com/Azure/LearnAI-Bootcamp/blob/master/lab01.1-computer_vision/0_README.md)
- 10:00 - 11:00: [Lab 1.1: Building Intelligent Bots part I](https://github.com/Azure/LearnAI-Bootcamp/blob/master/lab02.2-building_bots/0_README.md)
- 11:00 - 11:15: Break
- 11:15 - 12.30: [Lab 1.1: Building Intelligent Bots part II](https://github.com/Azure/LearnAI-Bootcamp/blob/master/lab02.2-building_bots/0_README.md)
- 12:30 - 1:30: Lunch
- 1:30 - 3:00: [Lab 1.2: Enhancing Applications with Bing Search](./lab02.3-bing_search/0_README.md)
- 3:00 - 3:15: Break
- 3:15 - 4:00: [Lab 1.3: Custom Vision Service: Object Detection](https://github.com/Azure/LearnAI-Bootcamp/blob/master/lab01.3_customvision02/0_README.md)
- 4:00 - 4:45: [Bot Design](https://github.com/Azure/LearnAI-DesigningandArchitectingIntelligentAgents/blob/master/02-bot_design/1_session.ipynb), [LUIS Design](https://github.com/Azure/LearnAI-DesigningandArchitectingIntelligentAgents/blob/master/03-luis/1_session.ipynb) and [Bot Architectures](https://github.com/Azure/LearnAI-DesigningandArchitectingIntelligentAgents/blob/master/04-architectures/1_session.ipynb) content review.

# Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.