AI for Talent Management and Employee Experience

Name: AI for Talent Management and Employee Experience
Rating: 5.0 (2 reviews)

Practical AI for HR Teams — Recruiting, Onboarding & Workforce Planning Using ChatGPT, Gemini, Copilot & Claude

Created byWorkplace Artificial Intelligence Skills Academy

Last updated 5/2026

English

What you'll learn

Build AI-assisted job descriptions and sourcing strategies using ChatGPT, Gemini, and Copilot that reduce first-draft time from days to hours.
Design a structured, bias-aware screening workflow with weighted scorecards, interview kits, and a defensible decision memo.
Extract themes from employee engagement survey data and turn them into a 30-day manager-ready action plan with owners and metrics.
Create a skills-based onboarding system with a 30/60/90-day plan, coaching scripts, and a skills evidence tracker for any role.
Use six AI platforms — ChatGPT, Gemini, Copilot, Claude, — to complete real HR workflows from start to finish.
Build a responsible AI governance kit including a risk register, human-in-the-loop policy, red-team test plan, and escalation rules.
Design a 90-day AI adoption pilot with a charter, KPI dashboard, change communications, and a command centre to track progress.
Apply fairness controls, accessibility safeguards, and audit trail requirements to keep AI-assisted hiring decisions legally defensible.
Produce ready-to-use HR deliverables — outreach packs, decision memos, action trackers, and governance playbooks — in every lecture.
Evaluate AI tool outputs critically, identify hallucinations and bias risks, and apply human review gates before acting on any AI result.

Course content

6 sections • 10 lectures • 51m total length

The AI-Powered Talent Lifecycle (Use-Case Map + ROI)7:00
Lecture Description:
Map the talent lifecycle (attract → hire → develop → retain) and identify where AI adds value. Use a decision method to pick a first pilot based on impact, readiness, and risk.
Learning Objectives:
Map HR workflows to AI assist vs. automate vs. avoid.
Score use cases by impact, readiness, risk, and effort.
Select one pilot use case with clear success metrics.
AI Use Cases, ROI, and Pilot Selection
Audit HR Workflows and Select One AI Pilot
HR Data Readiness: What AI Needs (and What Breaks It)4:52
Lecture Description:
Build HR data literacy: HR data sources, minimum viable data, sensitivity labeling, and audit-ready logging.
Learning Objectives:
Identify HR data sources and typical fields.
Create a mini data dictionary with owners and sensitivity labels.
Define minimum controls (privacy + access + logging).
HR Data Readiness and AI Controls
Create a Mini HR Data Readiness Pack
Skills-First Talent Management (Skills Taxonomy + Evidence Signals)5:28
Lecture Description:
Build a skills taxonomy for one role, define levels, and choose evidence signals so skills become actionable for mobility and development.
Learning Objectives:
Define skills operationally (behavior + evidence).
Create role-based skills profile with levels.
Build a skills matrix for mobility and learning.
Skills-First Talent Management Basics
Build a Skills-First Role Profile and Matrix

AI-Assisted Job Descriptions and Sourcing5:25
Lecture Description:
This lecture shows how to turn messy hiring inputs into sharper, more professional recruiting outputs. Learners will see how AI can support role intake, job description drafting, inclusivity improvement, and sourcing message creation without producing generic content.
Learning Objectives:
Create a strong role intake brief with outcomes, requirements, and constraints.
Draft clearer, more inclusive job descriptions with AI support.
Build sourcing messages tailored to audience, channel, and hiring context.
Package recruiting outputs into a reusable Hiring Pack.
AI-Assisted Job Descriptions and Sourcing
Create a Recruiter-Ready JD and Sourcing Pack
Fair Screening, Candidate Experience, and Responsible Hiring Workflows4:55
Lecture Description:
This lecture connects fair screening, candidate communication, and responsible hiring into one structured workflow. It teaches learners how to evaluate candidates consistently, communicate professionally, and apply AI with human oversight and traceability.
Learning Objectives:
Build structured screening workflows with scorecards, interview kits, and clear decision criteria.
Use AI safely in screening with human review, approval, and override.
Improve candidate experience through better communication flows, templates, and escalation rules.
Reduce hiring risk through accessibility safeguards, bias controls, and audit-ready traceability.
Fair Screening and Responsible Hiring Workflows
Design a Responsible Hiring Workflow from Screening to Candidate Communication
Employee Listening, Performance Coaching, and Workforce Planning with AI4:55
Lecture Description:
This lecture combines employee feedback, manager coaching, and workforce planning into one connected system. Learners will see how AI can help transform employee voice into action, strengthen performance conversations, and support smarter talent planning decisions.
Learning Objectives:
Turn employee feedback into action through pulse listening, theme analysis, and focused action plans.
Improve performance conversations with better goals, short check-ins, and evidence-based feedback.
Build stronger development paths using skill gaps, practice tasks, and visible progress signals.
Support workforce planning with skills snapshots, scenarios, and Build/Buy/Borrow/Bot decisions.
Employee Listening, Coaching, and Workforce Planning
Create an Employee Action System: Feedback, Coaching, and Planning

Demo: Recruiter Copilot — Role Intake → JD → Outreach → Interview Kit3:51
Lecture Description:
This demo walks through a full recruiter workflow from messy intake notes to a complete Hiring Pack. Each step uses a different AI tool to generate a distinct artifact that recruiters can refine, review, and reuse.
Learning Objectives:
Create a role intake brief from incomplete or messy hiring notes.
Generate a job description with quality and inclusivity improvements.
Build outreach messages and a structured interview kit.
Package all recruiting outputs into a reusable Hiring Pack.
Recruiter Copilot Workflow
Rebuild the Recruiter Copilot Workflow for a New Role
Demo: Structured Screening — Scorecards + Consistency Check + Decision Memo4:22
Lecture Description:
This demo focuses on screening quality, scoring consistency, and decision documentation. Learners move from rubric creation to candidate comparison, calibration, fairness checks, and a final memo with audit trail.
Learning Objectives:
Create a weighted scorecard with evidence signals and red flags.
Score candidates consistently using a structured evaluation sheet.
Calibrate scoring and identify weak evidence or inconsistency.
Write a defensible decision memo and store an audit trail.
Structured Screening and Decision Memo
Run a Mock Screening Review with Calibration and Decision Memo

Demo: Engagement Comments → Themes → Action Plan (Manager-ready)5:22
Lecture Description:
This demo shows how to convert employee comments into clear themes, practical actions, and manager-ready follow-up. It moves from feedback analysis to communication, ownership, and KPI tracking.
Learning Objectives:
Extract themes from engagement comments using clear tagging rules.
Prioritize actions based on impact, ownership, and execution value.
Draft communication that explains what will change and why.
Build a tracker that supports follow-up, accountability, and measurement.
Engagement Themes and Action Plans
Turn an Engagement Dataset into a Manager-Ready Action Pack
Demo: Skills-Based Onboarding + Growth Plan (30/60/90 + Coaching)5:16
Lecture Description:
This demo walks through a skills-first onboarding and growth workflow. Learners create a success profile, a 30/60/90 plan, coaching assets, and a reusable onboarding hub that supports manager guidance and evidence of progress.
Learning Objectives:
Define success for a role using outcomes, skills, and evidence signals.
Build a 30/60/90 onboarding plan tied to progress milestones.
Create manager communications, coaching scripts, and check-in agendas.
Package the onboarding journey into a reusable skills-based hub.
Skills-Based Onboarding and Growth Plans
Build a Skills-Based Onboarding and Growth Hub

Requirements

There are no requirements or prerequisites for taking this course.

Description

AI is already changing how HR and people teams work. This course teaches you exactly how to use it.

Most AI courses give you theory. This one gives you workflows. Over 12 hands-on lectures across 6 structured sections, you will learn how to use artificial intelligence tools to complete real HR and talent management tasks — from writing job descriptions and screening candidates, to analysing engagement surveys, building onboarding plans, and designing a governance framework that keeps every decision responsible and explainable.

What makes this course different is the live demonstrations.

Six of the twelve lectures are recorded screen demonstrations using the six most widely adopted AI platforms in the workplace today: ChatGPT, Gemini, Microsoft 365 Copilot, Claude, Perplexity, and DeepSeek. You will watch each tool being used in real time on a real HR task, see exactly what prompt to type, observe what the output looks like, and learn how to review, edit, and act on it. This is not a slide deck about what AI could do. It is a practical guide to what AI does — right now, in your workflow.

Here is what you will build during the course.

In the recruiting section, you will create AI-assisted job descriptions, sourcing strategies, structured interview kits, and candidate outreach messages across multiple channels. In the screening section, you will design weighted scorecards, run consistency checks across interviewers, and produce a decision memo that is audit-ready. In the employee experience section, you will extract themes from engagement survey comments, turn them into a 30-day manager action plan, and build a skills-based onboarding programme complete with a 30/60/90-day plan and coaching scripts. In the governance section, you will build a risk register, write a human-in-the-loop policy, design red-team tests for your AI workflows, and assemble a complete governance playbook. Finally, in the adoption section, you will plan a 90-day AI pilot with a charter, KPI dashboard, change communications, and a command centre to track progress week by week.

Every lecture comes with a downloadable resource.

Across the 12 lectures you will receive 12 ready-to-use templates, prompt packs, trackers, and frameworks that you can take directly into your organisation the same week you finish the course. There are also 13 quizzes to test your understanding and 13 assignments to practise what you have learned on your own scenarios.

No technical background is required.

If you can use email and a browser, you have everything you need to start. This course was designed for HR professionals, people managers, recruiters, HR business partners, L&D specialists, and any business professional who wants to understand how AI tools apply to real workplace challenges — and wants to leave with something they can actually use.

Enrol now and build an AI-powered talent system that works.

Who this course is for:

HR professionals, recruiters, and talent acquisition specialists who want to use AI tools to work faster, screen more fairly, and produce better hiring and onboarding outcomes without losing the human judgment at the centre of every decision.
People managers, HR business partners, and L&D professionals who want to turn employee engagement data, onboarding plans, and coaching conversations into structured, AI-assisted workflows they can present to leadership and act on immediately.
Business professionals in any function who are curious about how AI tools like ChatGPT, Gemini, Copilot, Claude apply to real workplace challenges — no technical background required, just a willingness to learn by doing.

AI for Talent Management and Employee Experience

What you'll learn

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Course content

Foundations: AI in Talent & Employee Experience3 lectures • 17min

AI for Recruiting, Hiring, Employee Experience, Performance, and Planning3 lectures • 15min

Demos: Recruiting Workflows2 lectures • 8min

Demos: Employee Experience & Development2 lectures • 11min

Demos: Implementation Roadmap & Responsible AI Guardrails0

Final Assessments0

Requirements

Description

Who this course is for: