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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.

4.7 (36 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 125

Skills You Will Learn

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

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 20 minutes

Platform

  • SkillsNetwork

Last Update

  • December 31, 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 was a Data Scientist in the IBM. I also hold a PhD from the University of Waterloo.

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Wojciech "Victor" Fulmyk

Data Scientist at IBM

Wojciech "Victor" Fulmyk is a Data Scientist and AI Engineer on IBM’s Skills Network team, where he focuses on helping learners build expertise in data science, artificial intelligence, and machine learning. He is also a Kaggle competition expert, currently ranked in the top 3% globally among competition participants. An economist by training, he applies his knowledge of statistics and econometrics to bring a distinctive perspective to AI and ML—one that considers both technical depth and broader socioeconomic implications.

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