本講座では１２回の講座（セクション）と20本の動画を通して、AIと生成AIの違い、言語生成系AIの特徴、そしてChatGPTを自分の趣味あるいは業務に活用するための知識と技術を身につけることができます。
ChatGPTをカスタマイズする場合、プログラミング言語について少しの知識を身につけることで、より応用の幅が広がります。そこで、Pythonについて、必要最低限の知識と技術についても習得し、自分独自のChatGPTを開発できるようになります。本講座では、Pythonを受講生の皆さんのパソコンにインストールするのではなく、ブラウザから使えるクラウド開発環境であるGoogle Colaboratoryを使います。
本動画の内容は、石田基広著『手を動かして学ぶ 生成AI使い方入門』 シーアンドアール研究所 (2024/7/10) ISBN-13 : 978-4863544406 で復習することができます。
What's inside
Learning objectives
- 生成aiの基礎を理解できます
- Python言語の基礎を学びます
- Openai社のchatgptを開発に利用できるようになります
- 生成言語aiを使ったアプリ開発に必要となる知識と技術を学びます
- 生成aiの基礎を理解できます
- Python言語の基礎を学びます
- Openai社のchatgptを開発に利用できるようになります
- 生成言語aiを使ったアプリ開発に必要となる知識と技術を学びます
Syllabus
このセクションでは、生成AIが登場する前のAI技術とその普及状況について知ることができます。
２０２２年から広く注目を集めるようになった生成AIについて、その前段階のAIを含め、何ができるのかを開設しています。
本講座ではPythonというプログラミング言語を使って言葉を生成するAIを拡張することを学びますが、ＷＥＢのChatGPTにおいても、ある程度はノーコード（プログラミング言語なし）で応用的なことができることを確認します。
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Syllabus
２０２２年から広く注目を集めるようになった生成AIについて、その前段階のAIを含め、何ができるのかを開設しています。
本講座ではPythonというプログラミング言語を使って言葉を生成するAIを拡張することを学びますが、ＷＥＢのChatGPTにおいても、ある程度はノーコード（プログラミング言語なし）で応用的なことができることを確認します。
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Reviews summary
生成ai開発実践入門
講師の解説が明瞭で、コースの構成が理解しやすい。
RAG、Assistant APIなど最新の生成AI技術を学習できる。
Google Colaboratory利用で学習開始のハードルが低い。
生成AIとAPIを使った実用的なアプリ開発が可能になる。
Activities
Review Python Basics
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Reinforce your understanding of fundamental Python concepts.
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Refer to your notes or online resources to review Python fundamentals
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Practice writing simple Python programs to apply your understanding
Organize and Review Materials
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Organize and review your notes, assignments, quizzes, and exams to refresh and integrate your understanding of the concepts.
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Gather all your course materials
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Review and summarize your notes
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Complete practice problems from your assignments
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Strengthen your Python skills through repetitive exercises and coding challenges.
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Python
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Find a coding challenge platform
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Choose a coding challenge and analyze the problem
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Develop and test your Python solution
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Review and refine your solution
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Learn Python for Natural Language Processing
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Acquire specialized Python skills for handling and manipulating text and language data.
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Find tutorials or courses on Python for Natural Language Processing
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Follow the tutorials and complete the exercises
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Apply your knowledge in mini-projects or personal experiments
Learn Advanced Python Techniques
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Expand your Python knowledge by following structured tutorials on specific concepts.
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Python
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Identify areas in Python you want to improve
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Find tutorials or courses covering these concepts
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Follow the tutorials and complete the exercises
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Practice implementing the techniques in your own Python projects
Attend a Python Workshop or Hackathon
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Immerse yourself in a hands-on environment and learn from experts and peers.
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Python
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Find and register for an upcoming Python workshop or hackathon
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Attend the event and participate actively
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Network with other attendees and learn from their experiences
Develop a Python Application
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Solidify your Python skills by building a substantial Python application.
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Brainstorm and define the scope of your project
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Set up a development environment and necessary libraries
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Design and implement the architecture of your application
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Test and debug your code throughout the development process
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Refine and optimize your application based on user feedback or your own evaluations
Design a Web App with Python and Streamlit
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Gain practical experience in developing and deploying a web application using Python and Streamlit.
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Python
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Plan the design and functionality of your web app
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Set up a development environment with Python and Streamlit
-
Develop the front-end and back-end components of your app
-
Test and debug your app to ensure it meets your requirements
-
Deploy your app to a hosting platform and share it with others
Review Python Basics
Show steps
Reinforce your understanding of fundamental Python concepts.
Browse courses on
Python
Show steps
- Refer to your notes or online resources to review Python fundamentals
- Practice writing simple Python programs to apply your understanding
Organize and Review Materials
Show steps
Organize and review your notes, assignments, quizzes, and exams to refresh and integrate your understanding of the concepts.
Show steps
- Gather all your course materials
- Review and summarize your notes
- Complete practice problems from your assignments
Practice Python Coding Challenges
Show steps
Strengthen your Python skills through repetitive exercises and coding challenges.
Browse courses on
Python
Show steps
- Find a coding challenge platform
- Choose a coding challenge and analyze the problem
- Develop and test your Python solution
- Review and refine your solution
Learn Python for Natural Language Processing
Show steps
Acquire specialized Python skills for handling and manipulating text and language data.
Browse courses on
Python
Show steps
- Find tutorials or courses on Python for Natural Language Processing
- Follow the tutorials and complete the exercises
- Apply your knowledge in mini-projects or personal experiments
Learn Advanced Python Techniques
Show steps
Expand your Python knowledge by following structured tutorials on specific concepts.
Browse courses on
Python
Show steps
- Identify areas in Python you want to improve
- Find tutorials or courses covering these concepts
- Follow the tutorials and complete the exercises
- Practice implementing the techniques in your own Python projects
Attend a Python Workshop or Hackathon
Show steps
Immerse yourself in a hands-on environment and learn from experts and peers.
Browse courses on
Python
Show steps
- Find and register for an upcoming Python workshop or hackathon
- Attend the event and participate actively
- Network with other attendees and learn from their experiences
Develop a Python Application
Show steps
Solidify your Python skills by building a substantial Python application.
Browse courses on
Python
Show steps
- Brainstorm and define the scope of your project
- Set up a development environment and necessary libraries
- Design and implement the architecture of your application
- Test and debug your code throughout the development process
- Refine and optimize your application based on user feedback or your own evaluations
Design a Web App with Python and Streamlit
Show steps
Gain practical experience in developing and deploying a web application using Python and Streamlit.
Browse courses on
Python
Show steps
- Plan the design and functionality of your web app
- Set up a development environment with Python and Streamlit
- Develop the front-end and back-end components of your app
- Test and debug your app to ensure it meets your requirements
- Deploy your app to a hosting platform and share it with others
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