Azure OpenAI Service + Bot Service で作る Teams ChatBot from Udemy

本講座では「Azure OpenAI Service と Bot Service を使って Microsoft Teams 向け ChatGPT チャットボット開発」する方法について学習します。

昨今、急激に利用が増えている OpenAI 社の ChatGPT ですが、企業利用をしようとすると障壁が大きい問題があります。

本講座ではそんな課題をクリアする方法の１つとして、Azure上で提供される Azure OpenAI Service （OpenAI 社の GPT と互換）を利用して社内用途を想定した Teams 用 ChatGPT チャットボットを開発します。

最後のハンズオンまで通して学習いただくことで、気を付けるべきポイントや開発する際の勘所がつかめます。

対象受講生は企画と開発の両方の方を想定していますので、どちらの立場であっても学習可能なレベルで、どちらの立場でも必要となる知識が揃うようにまとめました。

一通り学習いただくことでこれからAI活用したサービスの企画や開発を行っていく際の足掛かりになるはずです。

まだ取り組みたいけど取り組めていない方は、ぜひ一度、本コースを受講いただければと思います。

【概要】

大規模言語モデル（LLM）入門

ジェネレーティブAI（生成AI）
大規模言語モデル（LLM）
プロンプト、トークン
温度（tempreture）、上位P（top_p）
GPTモデルのカスタマイズ
プロンプトエンジニアリング基礎、応用

Azure OpenAI Service

なぜ Azure なのか
APIリファレンスの参照方法
セキュリティ
コスト
可用性
運用監視

Azure Bot Service、 App Service

機能概要
セキュリティ
コスト
可用性
運用監視

ハンズオン

開発環境準備
- Node.js
- Visual Studio Code
- Azure
- （GitHub Copilot）←デモのみ
Azure上に OpenAI Service 作成
- リソース作成
- Azure OpenAI Studio を使ったテスト
Bot Service のローカル開発
- GitHub Copilot を使った開発
Azure上へデプロイ
- Bot Service, App Service 作成
- App Service へデプロイ
- Bot Service のテスト
- Teams での動作確認

【更新履歴】

v1.1.0　2023/11/05　OpenAI社のAPIを利用する場合の方法を追加v1.0.0　2023/06/09　初版リリース

What's inside

Syllabus

本コースの概要について学びます。

本コースの目標、概要、対象受講生、講座の特徴について紹介します。

本コースで学習する内容について概要を学習します。

受講にあたっての注意事項およびあると望ましいことについて学習します。

Azure OpenAI Service を利用するためには利用申請が必要です。

本レクチャーでは申請方法について紹介します。

（補足）OpenAI 社の API を利用する場合

大規模言語モデルがどのようなものなのか、その機能や特徴、アプリへ組み込む場合に必要となる知識を学びます。

本セクションの学習内容について確認します。

以下について概要を学びます。

人工知能（AI）
機械学習（ML）
ディープラーニング（DL）
ジェネレーティブAI（生成AI）

大規模言語モデル（LLM）でできること、具体的なモデル、歴史について学習します。

プロンプトおよびトークンがどういうものなのか、について学習します。

ChatGPTの出力を調整する「温度」と「上位P」について学習します。

GPTモデルをカスタマイズする方法にどのようなものがあるのか、学習します。

プロンプトを記載する際の基礎となる記載方法について学習します。

プロンプトの基礎を踏まえ、より高度なカスタマイズを行うためのプロンプト利用方法を学習します。

Azure OpenAI Service

Azure OpenAI Service と OpenAI ChatGPT API の違いについて学習します。

Azure OpenAI Service の API リファレンス参照方法を学習します。

リクエストしたデータの利用、コンテンツフィルター、敵対的プロンプトについて学習します。

OpenAI Service のコスト構造について学習します。

OpenAI Service のSLAについて学習します。

運用監視を行う方法について学習します。

Azure Bot Service

Bot Service が提供する機能、Azure Service の概要について学習します。

ネットワーク構成および認証について学習します。

Bot Service および App Service のコスト構造について学習します。

Azure OpenAI Service および App Service のSLAについて学習します。

Bot Service および App Service の運用監視方法について学習します。

開発環境準備

Node.js は直接入れず、 npm を使って Node.js をインストールします。

Visual Studio Code のインストール方法を学習します。

ハンズオンで必要となる Visual Studio Code のプラグインをインストールします。

Japanese Language Pack （日本語パック）
Azure App Service
REST Client

Azure Bot Framework エミュレーターをインストールする方法を学習します。

動画はWindowsですが、macOSについても補足します。

準備が必要なAzure環境について少し補足をします。

Azureを利用できるようアカウント作成します。

ChatBotシステムアーキテクチャ

ハンズオンで作成する Teams ChatGPT ボットのアーキテクチャ全体像を確認します。

OpenAI Service デプロイ/テスト

リソースグループを作成する方法を学習します。

Azure OpenAI Serivice をデプロイする方法を学習します。

Azure OpenAI Studio を利用してデプロイ済みの GPTモデルをテスト（GPTとチャット）します。

ChatBot ローカル開発

Botアプリを開発するためのひな型を作成します。

ひな型アプリを起動、動作確認（デバッグ）を試します。

REST Client を利用して Azure OpenAI Service へ接続してみます。

Botアプリへ OpenAI Service へリクエストする実装を行います。

ChatBot デプロイ/テスト

Azure Bot Service を作成します。

App Service リソースを作成します。

作成した App Service に対してローカル環境で開発した Bot アプリをデプロイします。

App Service にマネージドIDを設定、環境変数を設定します。

Bot Service から App Service を参照するように設定し、動作確認をします。

Teamsチャンネルを作成して動作確認をします。

おわりに

本講座のまとめと今後の学習指針についてご紹介します。

ボーナスレクチャー

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

学習するモデルには、GPT-3のような大規模言語モデル（LLM）など、最新のテクノロジーを採用しています。

Azure OpenAI Service を利用することで、OpenAI 社の ChatGPT API と連携し、社内独自の Teams 用チャットボットを開発することができます。

ゼロから開発するのではなく、ハンズオンでは雛形となるボットアプリが提供されており、効率的に開発を進めることができます。

企画と開発の両方の視点から学べるカリキュラムとなっており、双方の立場からの理解を深めることができます。

ChatGPT のプロンプトエンジニアリングの基礎から応用まで、実践的な手法を学べます。

Azure OpenAI Service、Azure Bot Service、App Service の機能や仕組みを理解し、開発環境を構築できます。

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Azure OpenAI Service + Bot Service で作る Teams ChatBot with these activities:

Join a study group or discussion forum

Show steps

Engage with peers and experts by participating in discussions and sharing knowledge, fostering a collaborative learning environment.

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Find and join an online study group or discussion forum related to Azure OpenAI Service.
Actively participate in discussions, ask questions, and share your insights.
Collaborate with others to deepen your understanding of key concepts.

Review fundamental concepts of machine learning and deep learning

Show steps

Brush up on the essential principles underlying machine learning and deep learning to enhance your understanding of Azure OpenAI Service and its capabilities.

Browse courses on Machine Learning Basics

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Revisit key concepts such as supervised learning, unsupervised learning, and neural networks.
Review resources like online tutorials, books, or articles to reinforce your foundational knowledge.

Complete coding exercises on LeetCode

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Sharpen your problem-solving abilities and reinforce your understanding of core coding concepts.

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Select a set of coding exercises on LeetCode that align with the topics covered in the course.
Attempt to solve the exercises independently, focusing on applying the concepts learned.
Review your solutions against optimal approaches and learn from your mistakes.
Repeat the process with a new set of exercises to solidify your understanding.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Explore Azure OpenAI Service tutorials

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Gain hands-on experience with Azure OpenAI Service by following guided tutorials and experimenting with its features.

Browse courses on Large Language Models

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Access the Azure OpenAI Service documentation and explore available tutorials.
Choose a tutorial that aligns with your learning objectives.
Follow the step-by-step instructions to create and deploy an AI application.

Develop a chatbot using Azure OpenAI Service

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Apply your knowledge by building a practical chatbot that utilizes Azure OpenAI Service's capabilities, enhancing your understanding of its functionalities.

Browse courses on Chatbot Development

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Design the chatbot's functionality and user interface.
Implement the chatbot using Azure OpenAI Service and Bot Service.
Test and refine the chatbot to ensure optimal performance.
Deploy the chatbot to make it accessible to users.

Follow a tutorial on using GitHub Copilot

Show steps

Gain proficiency in using GitHub Copilot to enhance your development productivity and improve your coding skills.

Show steps

Identify a reliable tutorial on GitHub Copilot.
Set up your development environment and install the necessary tools.
Follow the tutorial steps to learn the basics of using GitHub Copilot.
Practice using GitHub Copilot in your own coding projects.
Explore advanced features and techniques to maximize the benefits of GitHub Copilot.

Develop a simple chatbot application using Azure Bot Service

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Gain hands-on experience in building and deploying a chatbot, reinforcing your knowledge of the Azure Bot Service platform.

Show steps

Design the chatbot's functionality and user interface.
Create an Azure Bot Service resource and configure it for your chatbot.
Develop the chatbot's logic and implement the necessary code.
Test the chatbot thoroughly to ensure it meets the desired requirements.
Deploy the chatbot to Azure and make it accessible to users.

Mentor junior developers or students

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Reinforce your own knowledge by guiding others, while contributing to the growth and development of the AI community.

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Identify opportunities to mentor junior developers or students interested in Azure OpenAI Service.
Share your knowledge and expertise to help them overcome challenges and advance their skills.
Provide constructive feedback and guidance to support their learning journey.

Career center

Learners who complete Azure OpenAI Service + Bot Service で作る Teams ChatBot will develop knowledge and skills that may be useful to these careers:

AI Engineer

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See salaries and explore the career path for AI Engineer

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. These models are used in a variety of applications, including predictive analytics, natural language processing, and computer vision. This course may be helpful to those seeking to enter or advance their career in Machine Learning Engineering. It provides a strong foundation in artificial intelligence and machine learning techniques, as well as a practical understanding of how to apply these techniques to real-world problems.

See salaries and explore the career path for Machine Learning Engineer

Computer Vision Engineer

Computer Vision Engineers design, build, and maintain computer vision models. These models are used in a variety of applications, including image recognition, object detection, and medical imaging. This course may be useful to those seeking to enter or advance their career in Computer Vision Engineering. It provides a strong foundation in artificial intelligence and machine learning techniques, as well as a practical understanding of how to apply these techniques to real-world problems.

See salaries and explore the career path for Computer Vision Engineer

Natural Language Processing Engineer

Natural Language Processing Engineers design, build, and maintain natural language processing models. These models are used in a variety of applications, including machine translation, text summarization, and spam filtering. This course may be useful to those seeking to enter or advance their career in Natural Language Processing Engineering. It provides a strong foundation in artificial intelligence and machine learning techniques, as well as a practical understanding of how to apply these techniques to real-world problems.

See salaries and explore the career path for Natural Language Processing Engineer

Product Manager

Product Managers develop and manage products. This course may be useful to those seeking to enter or advance their career in Product Management. It provides a strong foundation in artificial intelligence and machine learning techniques, as well as a practical understanding of how to apply these techniques to product development and management tasks.

See salaries and explore the career path for Product Manager

Project Manager

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DevOps Engineer

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See salaries and explore the career path for DevOps Engineer

Systems Analyst

Systems Analysts analyze, design, and implement computer systems. This course may be useful to those seeking to enter or advance their career in Systems Analysis. It provides a strong foundation in artificial intelligence and machine learning techniques, as well as a practical understanding of how to apply these techniques to systems analysis tasks.

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Software Architect

Software Architects design and develop software systems. This course may be useful to those seeking to enter or advance their career in Software Architecture. It provides a strong foundation in artificial intelligence and machine learning techniques, as well as a practical understanding of how to apply these techniques to software architecture tasks.

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Information Architect

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Cloud Architect

Cloud Architects design, build, and maintain cloud computing systems. These systems are used to deliver a variety of services, including storage, computing, and networking. This course may be useful to those seeking to enter or advance their career in Cloud Architecture. It provides a strong foundation in artificial intelligence and machine learning techniques, as well as a practical understanding of how to apply these techniques to cloud computing applications.

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Data Scientist

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Business Analyst

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Data Analyst

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Software Engineer

Software Engineers apply engineering principles to the design, development, deployment, and maintenance of software applications, in order to meet specific functional and performance requirements. This course may be useful to those seeking to enter or advance their career in Software Engineering. It can provide a strong foundation in artificial intelligence and machine learning techniques that are increasingly important in the field.

See salaries and explore the career path for Software Engineer

Azure OpenAI Service + Bot Service で作る Teams ChatBot

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