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AI for HR: Talent Management & Employee Experience
Rating: 4.5 out of 5(50 ratings)
161 students

AI for HR: Talent Management & Employee Experience

Use generative AI across recruiting, L&D, performance, engagement, and EX—ethically, securely, and with measurable ROI.
Created byPracticalGrowth Learning, Jesse Shroyer
Last updated 8/2026
English
Arabic [Auto],English [Auto],

What you'll learn

  • Explain generative AI fundamentals and its limits (bias, hallucinations, privacy) in HR use cases.
  • Create inclusive job descriptions and candidate communications using AI prompts and review checklists.
  • Apply AI to performance reviews: summarize feedback, draft narratives, and propose growth goals responsibly.
  • Design AI-driven learning paths, coaching, and internal mobility based on skills and role requirements.
  • Plan an AI rollout in HR: pick use cases, integrate tools, run pilots, and measure impact with KPIs.
  • Implement responsible AI practices: audits, transparency, data minimization, and human-in-the-loop decisions.

Course content

4 sections • 12 lectures • 1h 19m total length

  • Introduction to Generative AI in Talent Management and Employee Experience6:03

    This opening lecture introduces how generative AI is transforming talent management by automating routine tasks and enabling more personalized, human-centered HR practices. You'll get a clear overview of where AI is showing up across the employee lifecycle—and how it’s freeing HR teams to focus on strategy, development, and culture.


    • Understand why generative AI is reshaping recruiting, onboarding, learning, and engagement

    • Discover how companies are already using AI to streamline HR workflows and boost personalization

    • Explore the current adoption trends and how fast things are changing across the industry

    • Preview the full course structure and what each upcoming lecture will dive into

  • A quick note from me before we start0:59
  • Fundamentals of Generative AI7:07

    What exactly is generative AI—and how is it different from the AI HR teams have been using for years? Before diving into use cases like recruiting, learning, or engagement, this lecture breaks down the core mechanics behind generative AI and explains what makes it such a game-changer for talent management. You’ll learn the foundational concepts that every HR leader should understand—without needing a background in tech.


    • Learn how generative AI creates new content using large language models like ChatGPT and Gemini

    • Understand the difference between predictive and generative AI—and why it matters for HR

    • Explore real-world workplace tools powered by generative AI

    • Identify key limitations including hallucinations, bias, and privacy risks—and how to manage them wisely

  • AI in Recruiting and Sourcing7:20

    Recruiting doesn’t have to be a bottleneck—or a burnout trigger. AI is changing the game. This lecture dives into how generative and predictive AI are being used to reinvent the talent acquisition process—from sourcing candidates to scheduling interviews. You’ll see how AI is cutting through repetitive tasks and helping recruiters find the right people faster—without sacrificing fairness or the human touch.


    • Learn how AI generates inclusive, targeted job descriptions in seconds

    • Explore how resume-matching tools surface top candidates more efficiently

    • See how chatbots and schedulers keep candidates engaged around the clock

    • Understand the risks around bias and compliance—and how to build trust into your hiring tech

  • Section 1 Knowledge Check

Requirements

  • There are no prerequisites for this course

Description

How much of HR’s week is spent on repetitive work—drafting job posts, screening resumes, scheduling interviews, answering policy questions, and summarizing feedback?


Research and industry reporting suggest a large share of HR’s day-to-day workload (often cited as up to ~70%) can be automated or meaningfully supported by AI. At the same time, adoption is accelerating: many HR teams are already using some form of AI, and the vast majority of organizations say they plan to increase AI investment over the next few years.


That creates a massive opportunity—and a real risk.


Opportunity: use generative AI to reduce admin work and deliver a more personalized, human employee experience.

Risk: bias, privacy issues, weak data foundations, and “hallucinated” outputs that undermine trust.


This course is your practical guide to applying AI across the full talent lifecycle—recruiting, onboarding, performance, learning, mobility, engagement, and employee experience—while keeping humans in control.


In this course, you’ll learn how to:

  • Understand generative AI fundamentals (LLMs) and how it differs from predictive AI

  • Draft inclusive, high-quality job descriptions faster and tailor messaging to candidate segments

  • Improve sourcing and screening with AI matching—without going on autopilot

  • Use chatbots and automation for candidate FAQs and interview scheduling to boost candidate experience

  • Summarize messy feedback into clear performance review drafts and development narratives

  • Recommend individualized goals, learning paths, and coaching-style support at scale

  • Enable internal mobility, career pathing, and succession planning with skills intelligence

  • Track engagement signals and detect burnout risks early—without creating a surveillance culture

  • Personalize benefits, recognition, and day-to-day work patterns responsibly

  • Implement AI in HR the right way: workflow audits, tool selection, integrations, pilots, and metrics

  • Build ethical guardrails: bias audits, transparency, privacy, and human-in-the-loop decisions


By the end, you’ll have a clear playbook for what’s possible, what’s practical, and how to roll out AI in a way that improves both productivity and trust—so HR can spend more time on the “human” part of human resources.

Who this course is for:

  • HR generalists, HR managers, and HR business partners
  • Talent acquisition/recruiting professionals and sourcers
  • Learning & Development (L&D) managers and training teams
  • People operations, employee experience (EX), and engagement leaders
  • People analytics/HR analytics professionals and HRIS owners
  • People managers and team leads involved in hiring, reviews, and development
  • Business leaders and founders scaling HR processes
  • Compliance, legal, and HR governance stakeholders evaluating responsible AI

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