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Learn new topics fast with watsonx and LangChain

BeginnerGuided Project

Use IBM watsonx and LangChain to master rapid domain exploration! Choose a topic, use the Sequential Chain to generate questions, and then receive answers. This hands-on project is perfect for students, educators, and professionals needing quick, structured insights. Complete it in 20 minutes and revolutionize your knowledge acquisition process.

4.4 (14 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 56

Skills You Will Learn

  • LLM, Python, LangChain, watsonx, Generative AI, Artificial Intelligence

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 20 minutes

Platform

  • SkillsNetwork

Last Update

  • May 2, 2025
About this Guided Project
In today's fast-paced world, the ability to quickly gather and analyze domain-specific knowledge is a game-changer. Whether you're a student striving to ace your exams, an educator looking to enrich your curriculum, or a professional seeking to make informed decisions, mastering rapid domain exploration is an invaluable skill. This project leverages IBM watsonx and LangChain to help you achieve that. By generating random questions on your chosen topic and obtaining answers using Sequential Chain, you will revolutionize your knowledge acquisition process. Complete this hands-on project in 20 minutes and gain a competitive edge in your field!

What you'll learn


After you complete the project, you will:

  • Understand how to use IBM watsonx and LangChain for rapid domain exploration.
  • Learn how to generate random, topic-specific questions and obtain answers.
  • Develop skills in using Sequential Chain to streamline information retrieval.
  • Gain practical experience in applying AI tools for efficient and effective knowledge acquisition.

What you'll need


Before you start this project, you should have:

  • Basic Knowledge of Python.
  • A computer with internet access.

Instructors

Ricky Shi

Data Scientist at IBM

Ricky Shi is a Data Scientist at IBM, specializing in deep learning, computer vision, and Large Language Models. He applies advanced machine learning and generative AI techniques to solve complex challenges across various sectors. As an enthusiastic mentor, Ricky is committed to helping colleagues and peers master technical intricacies and drive innovation.

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Contributors

Kang Wang

Data Scientist

I am a Data Scientist in the IBM. I am also a PhD Candidate in the University of Waterloo.

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Wojciech "Victor" Fulmyk

Data Scientist at IBM

As a data scientist at the Ecosystems Skills Network at IBM and a Ph.D. candidate in Economics at the University of Calgary, I bring a wealth of experience in unraveling complex problems through the lens of data. What sets me apart is my ability to seamlessly merge technical expertise with effective communication, translating intricate data findings into actionable insights for stakeholders at all levels. Follow my projects to learn data science principles, machine learning algorithms, and artificial intelligence agent implementations.

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