AI-Powered CV Screening & Candidate Evaluation

    • 68 learners

      Enrolled

    • Level 1

      Basic

    • 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 first-pass CV screening and candidate evaluation, helping HR teams extract candidate information, compare CVs against job criteria, and generate structured review drafts more efficiently.

    Participants will learn how to use Microsoft 365 Copilot Chat with the CO-STAR prompting framework to evaluate work experience, education, skills, achievements, career progression, and candidate fit using a criteria-based 0–10 scoring approach. By the end of this course, learners will be able to use AI as a screening support tool while maintaining fairness, consistency, human review, and responsible hiring practices.
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    What We Offer

    What's included in this online course?

    A step-by-step guide

    Learn how to move from candidate CVs to structured HR evaluations using a consistent AI-assisted screening workflow.

    Study at your own pace

    Access the course anytime and practice with real-world recruitment scenarios using sample CVs and job requirements.

    Practical research experience

    Use Microsoft 365 Copilot Chat and the CO-STAR framework to extract candidate information, evaluate fit, and generate structured HR review drafts.
    What you'll be able to do
      Extract and organize key candidate information from CVs
      Evaluate candidate fit against job criteria using structured scoring
      Identify employment gaps, inconsistencies, and review items
      Generate structured HR review drafts to support recruitment decisions
    Certification included
    Complete this course to strengthen your AI literacy in recruitment and candidate evaluation. You will learn how to use AI responsibly to streamline CV screening, improve evaluation consistency, and support HR decision-making.

    This certificate shows that you understand how to apply AI tools for structured candidate evaluation while maintaining fairness, data privacy, and human oversight throughout the recruitment process.

    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