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津郷 晶也
and
Growcite, Inc.
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。
Read more
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。
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/r686jp/azure
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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。
Read more
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。
Read more
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
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。
Save this course
Save Azure OpenAI Service + Bot Service で作る Teams ChatBot to your list so you can find it easily later:
Save
Save
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.
Show steps
-
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
Show steps
-
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
Show steps
Sharpen your problem-solving abilities and reinforce your understanding of core coding concepts.
Show steps
-
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
Show steps
Gain hands-on experience with Azure OpenAI Service by following guided tutorials and experimenting with its features.
Browse courses on
Large Language Models
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
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
Show steps
Reinforce your own knowledge by guiding others, while contributing to the growth and development of the AI community.
Show steps
-
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.
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.
Show steps
Show steps
Show steps
- 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
Show steps
Show steps
Show steps
- 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
Show steps
Sharpen your problem-solving abilities and reinforce your understanding of core coding concepts.
Show steps
Show steps
Show steps
- 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
Show steps
Gain hands-on experience with Azure OpenAI Service by following guided tutorials and experimenting with its features.
Browse courses on
Large Language Models
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Gain hands-on experience in building and deploying a chatbot, reinforcing your knowledge of the Azure Bot Service platform.
Show steps
Show steps
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
Show steps
Reinforce your own knowledge by guiding others, while contributing to the growth and development of the AI community.
Show steps
Show steps
Show steps
- 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
AI Engineer
AI Engineers design, build, and maintain artificial intelligence systems. These systems are used in a variety of applications, including robotics, autonomous vehicles, and healthcare. This course may be useful to those seeking to enter or advance their career in AI 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.
Machine Learning 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.
Computer Vision 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.
Natural Language Processing 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.
Product Manager
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.
Project Manager
Project Manager
Project Managers plan, execute, and control projects. This course may be useful to those seeking to enter or advance their career in Project 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 project management tasks.
DevOps Engineer
DevOps Engineer
DevOps Engineers design, build, and maintain the systems and processes that enable software development teams to work more efficiently. This course may be useful to those seeking to enter or advance their career in DevOps 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 software development processes.
Systems Analyst
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.
Software Architect
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.
Information Architect
Information Architect
Information Architects design and organize information systems. This course may be useful to those seeking to enter or advance their career in Information 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 information architecture tasks.
Cloud Architect
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.
Data Scientist
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to extract meaningful insights from data, which can then be used to make informed decisions. This course may be useful to those seeking to enter or advance their career in Data Science. 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.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. This course may be useful to those seeking to enter or advance their career in Business 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 business analysis tasks.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data in order to provide insights to businesses. This course may be useful to those seeking to enter or advance their career in Data 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 data analysis tasks.
Software Engineer
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.
For more career information including salaries, visit:
OpenCourser.com/course/r686jp/azure
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Azure OpenAI Service + Bot Service で作る Teams ChatBot.
Offers a concise introduction to natural language understanding, covering the fundamental concepts and techniques used in NLP. It provides a solid foundation for understanding the NLP capabilities of ChatGPT and other AI models.
Provides a beginner-friendly introduction to artificial intelligence, covering various concepts and applications. It offers a broad overview of AI and its relevance to ChatGPT and other AI-powered tools.
Provides a comprehensive guide to deep learning using Python. It covers the theory and implementation of deep learning models, offering insights into the advanced techniques used in ChatGPT and other AI systems.
This classic book on software development offers valuable insights into best practices and principles. It emphasizes the importance of craftsmanship, collaboration, and continuous learning, which are essential aspects of building high-quality chatbots like ChatGPT.
Save
Provides practical guidance on writing clean and maintainable code. It emphasizes the importance of code readability, organization, and testing, which are crucial for developing reliable and scalable chatbots like ChatGPT.
Introduces the principles and practices of test-driven development. It explains the benefits of writing tests before writing code, which is essential for ensuring the quality and reliability of chatbots like ChatGPT.
Provides a comprehensive guide to domain-driven design, an approach to software development that emphasizes understanding and modeling the domain of the application. It helps in creating chatbots that are closely aligned with the business requirements and have a clear and maintainable design.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/r686jp/azure
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Effort
3 total hours
Via
Udemy
Instructors
津郷 晶也
Growcite, Inc.
Language
日本語
Good to know
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。
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