rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Building AI agents with LangGraph
    sub title: creating agentic applications with large language models and LangGraph
  name:
    name part: Sharma, Sajal
    role:
      role term: instructor.
  name:
    name part: O'Reilly (Firm)
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Nonfiction films.
  genre: Internet videos.
  genre: Films de formation.
  genre: Films autres que de fiction.
  genre: Vidéos sur Internet.
  origin info:
    place:
      place term: cau
    date issued: 2025
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (2 hr., 58 min.)) : sound, color.
  abstract: This course offers a comprehensive introduction to creating advanced AI agents capable of executing complex tasks autonomously. Learners will explore the fundamental concepts of AI agents, including reasoning, action-taking, and the ReAct pattern, and gain hands-on experience building these agents from scratch using Python and OpenAI. The course introduces LangGraph, a powerful framework for designing multi-agent architectures and covers essential design patterns and tools to enhance agent functionality. The importance of AI agents is underscored by their growing role in automating workflows and enhancing productivity across various industries. AI agents can significantly outperform traditional chatbots by making autonomous decisions and completing tasks without human intervention. This course equips participants with the skills to design, build, and evaluate sophisticated AI agents.
  note: Sajal Sharma, instructor.
  subject:
    topic: Intelligent agents (Computer software)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Agents intelligents (Logiciels)
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  classification: QA76.76.I58
  classification: 006.3
  identifier: 0642572077884 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 250217
    record change date: 20260123230451.0
    record identifier: in00005619429
    language of cataloging:
      language term: eng