OpenAI API 完全マスターガイド: ChatGPTによるチャットボット開発や画像生成、音声認識を基礎から学ぶ from Udemy

What's inside

Syllabus

コースイントロダクション【第2版】

OpenAI API コースの学習目的について
OpenAI API コースカリキュラムの流れについて

API について
OpenAI の主な API
言語モデルとは
言語モデルの仕組みの概念について

補足：OpenAIのアカウントを作成しよう

OpenAI のアカウント作成の方法について

OpenAI API の料金について
OpenAI API の料金に関する注意点
トークンとは

トークンに関する補足
トークン数を調べる方法について

はじめてのOpenAI API入門【第2版】

OpenAI API の基本的な使い方の概要
OpenAI API の基本的な使い方についての主な学習内容

学習環境について
Google Colab について
インデント幅スペースについての補足

API キーについて
API キーについての注意点

補足：サンプルコードについて

はじめてのOpenAI API入門で利用したサンプルコードの紹介

OpenAI API へのリクエストについて
ChatCompletion について
model についての補足
GPT-3.5 についての補足

GPT-4 についての注意点
GPT-4 と GPT-4-Turbo の違いについて

API キーの非表示について
API キーに関する補足
エンターキーについての補足
ノートブックについての補足

API からの戻り値について
API からの戻り値に関する補足

トークン使用量の確認方法について
費用の計算例について
GPT-3.5 と GPT-4 の使い分けについて
Colab に関する補足
GPT-4 についての補足

パラメーター max_tokes について
トラブルシューティングの方法について
サービス公開時の注意点

一連の会話を指定する方法について

ChatBotを開発しよう【第2版】

ChatBot を開発しようの概要
ChatBot を開発しようについての主な学習内容

連続してプロンプトの入力を求める機能について
ChatCompletion API へのリクエストについて
GPT-3.5 Turbo と GPT-4 の選択について
ChatBot コードの実装についての補足

過去の文脈を配列 messages に格納して、リクエストする方法について
動作確認について
新たな問題点について

例題）最新の3往復分のみ保持して API に渡すコードに変更
動作確認について

役割指定について
モデルの振る舞いの制限について
モデルの振る舞いの制限についての注意点

システムメッセージでの目的外利用の防止について

トークン（=コスト）を節約する方法について
システムメッセージを英語に変更する例について
max_tokens の設定に関する補足

様々なパラメータについて知ろう - Chat completion【第2版】

GPT の様々なパラメータの使い方についての概要

パラメータ stop とは
ストップシーケンスについての補足
ストップシーケンスに関するまとめ

パラメーター n とは
トークンについての注意点

temperature、top_p とは
temperature、top_p についての注意点

DALL·Eで画像を生成しよう【第2版】

DALL·E で画像を生成しようの概要
DALL·E 2 とは
DALL·E で画像を生成しようについての主な学習内容

DALL・E の利用についての注意点

料金表について
DALL·E に関する補足
基本的な API の使い方について

DALL·E の画像生成 API の料金体系について
DALL·E の画像生成 API の基本的な API の使い方
DALL·E の画像生成 API のサイズ指定と枚数指定について

DALL·E 3 の利用についての注意点
DALL·E 3を利用するためのパラメータについて
画像品質についての補足

DALL·E で生成した画像を保存する方法について
保存した画像を Colab 上に表示する方法について

生成した画像を Colab に表示する方法について

複数画像に、別々の名前をつけて保存する方法について
複数画像を Colab に表示する方法について

画像を保存する方法の、代替アプローチについて紹介
画像保存の方法について(base64、文字列形式に変換して保存)

Whisperで音声認識をしよう【第2版】

Whisper で音声認識をしようの概要
音声認識とは
Whisper とは
Whisper の使い方を学ぶ理由
Whisper で音声認識をしようについての主な学習内容

Whisper の料金体系について
最も基本的なプログラムの動作確認
読み上げの内容について

レスポンスのフォーマットの設定について

サンプリング温度の設定方法について

言語を明示的に設定する方法について

文字起こしの精度を上げる方法について
文字起こしの精度を上げる方法についての注意点

音声ファイルの文字起こし後に翻訳をする方法について
Translation についての補足

Text to Speech APIで音声合成をしよう【第2版】

Text to speech APIとは？
本セクションの学習トピック

声合成の基本的なコードの実装
APIの料金体系の説明
APIの利用規定についての注意

長いテキストのスピーチ実装
複数行にわたるテキストを一つの文字列として定義する方法(Python基礎)
パラメータの制限事項

音声タイプ（話者）の指定方法
利用可能な音声タイプの比較
音声タイプの特徴に関する考察

スピーチの速度調整を実装する
速度設定の範囲について

音声合成モデルの指定方法
指定できる音声合成モデルの種類

音声ファイルのフォーマットを指定する方法
指定できるフォーマット
フォーマット選択の観点

【旧版：4月末まで公開】コースイントロダクション

【旧版：4月末まで公開】旧版のレクチャーについて

【旧版：4月末まで公開】補足：OpenAIのアカウントを作成しよう

【旧版：4月末まで公開】はじめてのOpenAI API入門

【旧版：4月末まで公開】サンプルコードについて

【旧版：4月末まで公開】アップデート情報：OpenAI Pythonライブラリのバージョンについて

パラメータ stop について
ストップシーケンスについての補足
ストップシーケンスに関するまとめ

パラメータ n について
パラメータ n の例題
パラメータ n についての注意点

パラメータ temperature について
パラメータ top_n について
temperatureとtop_n の使い分けについて
パラメータの変更についての注意点

【旧版：4月末まで公開】ChatBotを開発しよう

【旧版：4月末まで公開】DALL·E 2で画像を生成しよう

DALL·E のウェブインターフェイスの料金体系について
DALL·E のウェブインターフェイスの画像生成の例
DALL·E のウェブインターフェイスの制約事項について

【旧版：4月末まで公開】Whisperで音声認識をしよう

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces students to the fundamentals of AI and how to use ChatGPT, DALL-E, and Whisper effectively

Can be used to build a chatbot using Python and Google Colab, which can be useful for automating tasks or customer service

Provides a good foundation for beginners who want to learn about AI and its applications

Involves hands-on coding, which allows students to apply what they learn and build practical projects

Requires students to have a basic understanding of Python programming

May require students to purchase OpenAI API credits, which could add to the cost of the course

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Review object-oriented programming concepts

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Refresh your understanding of object-oriented programming (OOP) concepts and their application in Python to prepare for the course.

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Review materials from previous OOP courses or online resources.
Practice writing code examples to solidify your understanding.
Focus on concepts such as classes, objects, inheritance, and polymorphism.
Create a small OOP project to test your knowledge.
Consider using online tutorials or interactive exercises for additional practice.

Code puzzles for beginners

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Practice fundamental programming concepts by solving a variety of code puzzles designed for beginners.

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Choose a reputable website or platform with coding puzzles.
Select a puzzle appropriate for your skill level.
Solve the puzzle using the concepts learned in the course.
Review the solution and identify areas for improvement.
Repeat the process with more challenging puzzles.

Organize and review course materials

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Gather, organize, and review all relevant course materials to maximize your understanding and retention.

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Collect lecture notes, slides, assignments, and any supplementary materials.
Create a structured system for organizing and storing your materials.
Review materials regularly to reinforce your understanding.
Identify areas where you need additional clarification or support.
Consider using note-taking techniques or software to enhance your learning.

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Join or form a study group to discuss course material, share insights, and support each other's learning.

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Identify or connect with other students enrolled in the course.
Schedule regular study sessions.
Review course materials and prepare questions.
Discuss concepts, share perspectives, and collaborate on problem-solving.
Reflect on your discussions and identify areas for further study.

Create a sample CLI app

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Create a simple command-line application to solidify your understanding of the basic concepts of CLI development.

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Start a new project with a Python virtual environment.
Write a Python script to handle user input and execute commands.
Create a basic menu system using the argparse module.
Add error handling to account for invalid input.
Test and refine your application to improve its functionality.

Build a RESTful API with Python and Flask

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Follow a guided tutorial to build a RESTful API using Python and the Flask framework, reinforcing your understanding of API design and development.

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Install Python, Flask, and any necessary dependencies.
Create a new Flask application.
Define routes for different HTTP methods (GET, POST, etc.).
Implement API endpoints that handle requests and return responses.
Test and debug your API using a REST client like Postman.

Develop a comprehensive project plan

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Create a detailed project plan that outlines your approach, timeline, and expected outcomes for a project related to the course.

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Define the project scope and objectives.
Break down the project into smaller tasks.
Create a timeline with estimated completion dates.
Identify resources and dependencies.
Develop a quality assurance plan.

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Choose a topic that you are passionate about or have a good understanding of.
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Career center

Learners who complete OpenAI API 完全マスターガイド: ChatGPTによるチャットボット開発や画像生成、音声認識を基礎から学ぶ will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software engineers are responsible for designing, developing, and maintaining software systems. This course can help software engineers build a foundation in artificial intelligence (AI) and natural language processing (NLP), which are becoming increasingly important in the software industry. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help software engineers develop more innovative and user-friendly software applications.

See salaries and explore the career path for Software Engineer

Data Scientist

Data scientists use data to solve business problems. This course can help data scientists learn how to use AI and NLP to analyze data more effectively. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help data scientists develop more accurate and insightful data models.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine learning engineers design and develop machine learning models. This course can help machine learning engineers learn how to use AI and NLP to build more effective machine learning models. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help machine learning engineers develop more accurate and reliable machine learning models.

See salaries and explore the career path for Machine Learning Engineer

AI Researcher

AI researchers develop new AI algorithms and techniques. This course can help AI researchers learn about the latest advances in AI and NLP. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help AI researchers develop more innovative and groundbreaking AI technologies.

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NLP Engineer

NLP engineers design and develop NLP systems. This course can help NLP engineers learn how to use AI and NLP to build more effective NLP systems. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help NLP engineers develop more accurate and reliable NLP systems.

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Product Manager

Product managers are responsible for managing the development and launch of new products. This course can help product managers learn how to use AI and NLP to develop more innovative and user-friendly products. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help product managers develop products that are more in line with the needs of their customers.

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UX Designer

UX designers are responsible for designing the user experience of products. This course can help UX designers learn how to use AI and NLP to create more user-friendly and intuitive products. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help UX designers create products that are more enjoyable and easy to use.

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Marketing Manager

Marketing managers are responsible for developing and executing marketing campaigns. This course can help marketing managers learn how to use AI and NLP to create more effective marketing campaigns. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help marketing managers reach their target audience more effectively and achieve their marketing goals.

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Sales Manager

Sales managers are responsible for leading and managing sales teams. This course can help sales managers learn how to use AI and NLP to improve their sales performance. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help sales managers close more deals and achieve their sales targets.

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Customer Success Manager

Customer success managers are responsible for ensuring that customers are satisfied with their products or services. This course can help customer success managers learn how to use AI and NLP to improve the customer experience. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help customer success managers resolve customer issues more quickly and effectively.

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Business Analyst

Business analysts are responsible for analyzing business data and making recommendations for improvement. This course can help business analysts learn how to use AI and NLP to analyze data more effectively. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help business analysts develop more accurate and insightful recommendations.

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Consultant

Consultants provide advice and guidance to businesses on a variety of topics. This course can help consultants learn how to use AI and NLP to provide more valuable advice to their clients. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help consultants develop more innovative and effective solutions for their clients.

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Entrepreneur

Entrepreneurs start and run their own businesses. This course can help entrepreneurs learn how to use AI and NLP to develop and launch new products and services. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help entrepreneurs create businesses that are more innovative and successful.

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Teacher

Teachers educate students at all levels. This course can help teachers learn how to use AI and NLP to improve their teaching methods. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help teachers create more engaging and interactive learning experiences for their students.

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Writer

Writers create written content for a variety of purposes. This course can help writers learn how to use AI and NLP to improve their writing skills. The course covers a wide range of topics, including how to use OpenAI's API to build chatbots, generate images, and perform speech recognition. This knowledge can help writers create more engaging and informative content for their readers.

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OpenAI API 完全マスターガイド

ChatGPTによるチャットボット開発や画像生成、音声認識を基礎から学ぶ

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