Al for Document Analysis and Knowledge Access

    • 68 learners

      Enrolled

    • Level 2

      Intermediate

    • Self-paced

      Course duration

    • 1 Ebook

      Free of charge
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    Course overview
    This course equips learners with practical skills to use AI for document analysis and knowledge access, helping employees retrieve information from SOPs, policies, regulations, and internal documents faster through natural language questions.

    Participants will learn how to apply the grounded answer concept, use CO-STAR + Constraint prompting, request citation-based responses, and verify AI outputs against the original document. By the end of this course, learners will be able to use AI as a document-based knowledge assistant while maintaining accuracy, traceability, and source verification.
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    What We Offer

    What's included in this online course?

    A step-by-step guide

    Learn how to use AI to access information from SOPs, policies, regulations, and internal documents through a structured document-based workflow.

    Study at your own pace

    Access the course anytime and practice asking grounded questions based on document examples.

    Practical experience

    Use CO-STAR + Constraint prompts to generate cited answers, identify missing information, and verify outputs against original documents.
    What you'll be able to do
     Ask document-based questions using natural language
      Generate grounded answers based only on available documents
      Apply CO-STAR + Constraint prompts to reduce hallucination
      Verify AI answers using document names, page numbers, and original sources
    Certification included
    Complete this course to strengthen your AI literacy in document analysis and knowledge access. You will learn how to use AI responsibly to retrieve information from internal documents, reduce manual searching, and improve knowledge accessibility.

    This certificate shows that you understand how to apply AI tools for source-based knowledge retrieval while maintaining accuracy, citation traceability, and verification against original documents.

    Meet the People Behind AI Literacy

    AI Literacy is developed through the collaboration of cross-functional contributors who support the planning, content development, technical implementation, and learning experience of the program. Together, the team helps bring practical AI knowledge, real-world use cases, and responsible AI guidance to employees across the organization.

    Edwin Simjaya

    Head of AI and Software Center

    Tamaria Artpinkan

    Product Innovation Lead

    Selvianingrum

    AI Engineer

    Reyhan Phillies W.

    Project Manager

    Pradipa Arya Nugraha

    UI/UX Designer

    Runi Dwi Jiasta

    Project Manager

    Bernadus Ignasio

    AI Engineer

    Mary Priscilla

    AI Engineer

    Renata Rusli

    UI/UX Designer

    Alfredo Anthony S.

    UI/UX Designer

    Shalomita Sharon P.

    UI/UX Designer

    Terence Lee

    UI/UX Designer