We may earn an affiliate commission when you visit our partners.

GenAI Summarization with Langchain

Summarize Text Documents

Soumava Dey

In this guided project, you will learn the art of text summarization using the well-known GenAI framework, Langchain, and transform it into a practical, real-world web application with Streamlit. During this hands-on experience, we will encapsulate vast volumes of text into concise and coherent summaries by harnessing the power of GPT models and prompt template resided within the Langchain framework.

You will familiarize yourself with Langchain's architecture, it's underlying components and how they can be integrated with a summarizer function. Additionally, you'll learn how to integrate Langchain-powered summarization capabilities into a user-friendly, interactive web app, making your summarization skills accessible to a broader audience. This course is aimed at Python developers who are looking to get started with text summarization using GenAI. Familiarity with Python programming language including skills in creating lists, arrays, and functions is essential. Some experience with LLM interactions and prompt engineering would be useful as would some prior use of Streamlit.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Three deals to help you save

We found three deals and offers that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 12

Annual Subscription Savings

Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.

Only $239!

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

What's inside

Syllabus

Project Overview

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches text summarization, which is standard in the NLP industry

Uses GenAI, Langchain, and Streamlit, industry-standard libraries

Develops Python and prompt engineering skills, which are core skills for NLP practitioners

Suitable for Python developers with basic NLP and Streamlit knowledge

Save this course

Save GenAI Summarization with Langchain: Summarize Text Documents to your list so you can find it easily later:

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 GenAI Summarization with Langchain: Summarize Text Documents with these activities:

Review Python programming basics

Show steps

Brush up on Python programming fundamentals to strengthen your foundation for the course's technical aspects.

Browse courses on Python

Show steps

Review variables, data types, and operators
Practice creating and manipulating lists, arrays, and functions

Seek guidance from experts in GenAI and text summarization

Show steps

Connect with individuals who have expertise in GenAI and text summarization to gain valuable insights and support throughout your learning journey.

Browse courses on GenAI

Show steps

Identify potential mentors through online platforms
Reach out to mentors and request guidance
Schedule regular meetings or communication

Explore GenAI's Langchain framework

Show steps

Familiarize yourself with the architecture and capabilities of Langchain to enhance your understanding of the course's text summarization techniques.

Browse courses on GenAI

Show steps

Go through the official Langchain documentation
Follow hands-on tutorials on using Langchain for text summarization

Four other activities

Expand to see all activities and additional details

Show all seven activities

Participate in a study group for GenAI and text summarization

Show steps

Engage in discussions and knowledge sharing with peers to enhance your understanding of GenAI, Langchain, and text summarization techniques.

Browse courses on GenAI

Show steps

Join or create a study group with fellow learners
Meet regularly to discuss course concepts
Share resources, tips, and insights

Practice text summarization with various prompts

Show steps

Improve your text summarization skills by generating summaries using different prompts, refining your ability to extract key information effectively.

Browse courses on Text Summarization

Show steps

Choose a piece of text
Experiment with different prompts to generate summaries
Compare and analyze the generated summaries
Refine your prompts based on the results

Build a simple text summarizer using Langchain

Show steps

Apply your knowledge of Langchain to create a functional text summarizer, solidifying your understanding of its capabilities.

Browse courses on Text Summarization

Show steps

Set up a Python environment with Langchain installed
Write a Python script to interact with Langchain's API
Test your summarizer using different input texts

Develop a web application for text summarization

Show steps

Integrate your text summarization skills with web development to create a user-friendly tool for summarizing text, showcasing your ability to apply course concepts in a practical context.

Browse courses on Text Summarization

Show steps

Learn the basics of Streamlit for creating web applications
Develop a simple web interface using Streamlit
Integrate your text summarizer into the web application
Test and deploy your web application

Career center

Learners who complete GenAI Summarization with Langchain: Summarize Text Documents will develop knowledge and skills that may be useful to these careers:

Content Writer

**Content Writers** create written content for websites, blogs, and other marketing materials. This course may be useful for Content Writers who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as research articles, news articles, and product descriptions.

See salaries and explore the career path for Content Writer

Archivist

**Archivists** preserve and manage historical records. This course may be useful for Archivists who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as archival documents, manuscripts, and photographs.

See salaries and explore the career path for Archivist

Librarian

**Librarians** help people find and access information. This course may be useful for Librarians who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as library catalogs, research databases, and reference materials.

See salaries and explore the career path for Librarian

Anthropologist

**Anthropologists** study human beings and their cultures. This course may be useful for Anthropologists who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as field notes, interview transcripts, and ethnographic studies.

See salaries and explore the career path for Anthropologist

Project Manager

**Project Managers** plan, execute, and close projects. This course may be useful for Project Managers who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as project plans, status reports, and risk assessments.

See salaries and explore the career path for Project Manager

Business Analyst

**Business Analysts** analyze business processes and systems to identify areas for improvement. This course may be useful for Business Analysts who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as market research reports, financial statements, and customer feedback.

See salaries and explore the career path for Business Analyst

Product Manager

**Product Managers** plan, develop, and launch new products and features. This course may be useful for Product Managers who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as market research reports, user feedback, and competitive analysis.

See salaries and explore the career path for Product Manager

Technical Writer

**Technical Writers** create documentation for software, hardware, and other products. This course may be useful for Technical Writers who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as user manuals, technical specifications, and release notes.

See salaries and explore the career path for Technical Writer

Editor

**Editors** review, edit, and proofread written content. This course may be useful for Editors who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as manuscripts, articles, and books.

See salaries and explore the career path for Editor

Museum curator

**Museum Curators** plan and oversee the care of museum collections. This course may be useful for Museum Curators who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as collection records, exhibition catalogs, and educational materials.

See salaries and explore the career path for Museum curator

Historian

**Historians** study the past to understand the present. This course may be useful for Historians who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data, such as historical documents, research articles, and books.

See salaries and explore the career path for Historian

Data Analyst

**Data Analysts** collect, analyze, and interpret data to help organizations make informed decisions. This course may be useful for Data Analysts who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data.

See salaries and explore the career path for Data Analyst

Data Scientist

**Data Scientists** analyze large datasets to uncover trends and patterns, and to make predictions. This course may be useful for Data Scientists who want to learn more about text summarization techniques, which can be used to quickly and efficiently summarize large amounts of text data.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

**Machine Learning Engineers** develop and deploy machine learning models. This course may be useful for Machine Learning Engineers who want to learn more about text summarization techniques, which can be used to create automated summaries of training data, model performance reports, and other types of text.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

**Software Engineers** design, develop, and maintain software applications. This course may be useful for Software Engineers who want to learn more about text summarization techniques, which can be used to create automated summaries of user documentation, product descriptions, and other types of text.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 16 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 GenAI Summarization with Langchain: Summarize Text Documents.

Automatic Summarization

Save

Provides a comprehensive overview of text summarization techniques, including both classical and modern approaches. It valuable resource for gaining a deeper understanding of the different summarization methods and their applications.

GenAI Summarization with Langchain

Summarize Text Documents

Three deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses