AI-Powered Employee Sentiment Analysis from Glassdoor Reviews

    • 68 learners

      Enrolled

    • Level 3

      Advanced

    • 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 employee sentiment analysis, helping HR teams collect public employee reviews, identify sentiment patterns, and generate interactive dashboards for workforce insights.

    Participants will learn how to use Apify to collect Glassdoor reviews, analyze employee feedback with Claude, apply the CO-STAR prompting framework, and transform raw review data into actionable HR insights. By the end of this course, learners will be able to monitor employee sentiment more efficiently while validating AI-generated insights through human review.
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    What We Offer

    What's included in this online course?

    A step-by-step guide

    Learn how to collect review data, analyze employee sentiment, and generate interactive dashboards through a structured AI workflow.

    Study at your own pace

    Access the course anytime and practice using real-world employee review datasets and HR analysis scenarios.

    Practical research experience

    Use Apify, Claude, and the CO-STAR framework to build interactive dashboards and uncover actionable workforce insights.
    What you'll be able to do
      Collect public employee review data using Apify
      Analyze employee sentiment and recurring themes with AI
      Generate interactive dashboards from review data
      Identify department-level insights to support HR strategies
    Certification included
    Complete this course to strengthen your AI literacy in employee sentiment analysis. You will learn how to use AI responsibly to collect, analyze, visualize, and interpret workforce feedback from publicly available review data.

    This certificate shows that you understand how to apply AI tools for sentiment analysis, dashboard generation, and HR insight development while maintaining responsible data handling and human validation.

    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