Mindset Growth Hub — Practical courses taught by people who do the work
Home  ‹  Programs & Courses  ‹  AI for HR Advanced
The future of HR starts with AI

AI for HR Advanced

Turn HR from traditional processes into a smart system driven by data and AI

6 Accredited Hours 3 Days Advanced
Officially accreditedProfessional attendance certificate accredited by NAHJ
Program overview

About the program

This is not an introduction to AI. The Advanced program is for those who want to actually apply AI inside the HR department — across the entire employee lifecycle, from the first job posting to building an AI agent that works inside the department. We start where introductory courses end: direct application, not theory. You leave every session with ready-made templates, assessment models and dashboards, and the final project is an integrated AI-powered HR system.

  • Advanced level — we start where introductory courses end: direct application, not theory
  • Ready-made tools — templates, assessment models and dashboards from every session
  • An integrated system — the final project is an AI-powered HR system
  • 15 practical outcomes covering 6 stages of the employee lifecycle

Core Program Objective

  • 01Build an AI-powered recruitment system, from needs analysis to candidate assessment
  • 02Turn performance management into a continuous, data-driven process
  • 03Identify talent and skills gaps and build individual development plans
Program goals

What will you be able to do after the program?

Build an AI-powered recruitment system
Analyze and classify CVs
Create candidate scoring models
Develop smart job interviews
Build KPIs and performance scorecards
Analyze employee performance with AI
Identify skills gaps
Create employee development plans
Analyze employee engagement
Use HR analytics in decision-making
Analyze turnover and employee attrition
Design HR dashboards
Automate HR processes
Design HR AI agents
Build an integrated AI-based HR system across the entire employee lifecycle
The development journey

Before and after the course

Before the Program

  • Time-consuming manual CV screening
  • A traditional annual performance review
  • A once-a-year satisfaction survey
  • Learning about resignations after they happen
  • HR as a support function
Learning Journey

After the Program

  • Candidate assessment with objective, defensible criteria
  • Continuous, data-driven performance management
  • Measurable, analyzable employee experience data
  • Predictive models that flag attrition risk early
  • HR as a strategic partner in decisions
Target audience

Who is this program for?

HR Managers, HR Directors & CHROs

Leaders of HR departments.

Why it fits you

Build a smart HR system that makes HR a strategic partner in decisions.

Talent Acquisition Managers & Recruiters

Those responsible for hiring and sourcing.

Why it fits you

Cut screening time and assess candidates against objective criteria.

HR Business Partners

HR partners embedded with business units.

Why it fits you

Give business units data-based analysis and recommendations.

Training & Development Managers

Those responsible for learning and development plans.

Why it fits you

Identify skills gaps and recommend the right programs for each employee.

Performance Specialists & People & Culture

Performance and culture teams.

Why it fits you

Design KPIs and analyze employee experience and engagement.

HR Consultants

Those advising organizations on HR.

Why it fits you

Add AI tools and analytics to your consulting services.

CEOs & Business Owners

Decision-makers in the organization.

Why it fits you

Get a clear picture of your workforce and make data-driven decisions.

Learning path

The course journey

01
DAY 1

Session 1: Recruitment & Talent Acquisition

2 hours

Recruitment strategy & workforce planning • Sourcing & screening

Details
02
DAY 2

Session 2: Performance, Talent & Employee Experience

2 hours

Performance management • Talent management

Details
03
DAY 3

Session 3: Analytics, Automation & Agents

2 hours

HR / people analytics • Predictive HR analytics

Details
Details

Training content in detail

01

Recruitment Strategy & Workforce Planning

6 topics

Session 1 — from workforce planning and needs analysis to job descriptions and a competency framework for every role.

Topics covered

  • Developing a recruitment strategy with AI
  • Using AI in workforce planning
  • Analyzing job needs inside the organization
  • Writing professional job descriptions
  • Building a competency framework for every role
  • Reducing hiring time and cost

Practical skills

Workforce planningJob description writing
Expected deliverable:

Session 1 — sourcing candidates and screening CVs against objective, defensible criteria.

Topics covered

  • Using AI to find candidates
  • AI sourcing strategies
  • CV analysis
  • Comparing candidates against defined criteria
  • Building a candidate scoring model
  • Creating a smart shortlist
  • Designing screening questions
  • Automating follow-up with applicants
  • Improving candidate experience

Practical skills

CV analysisCandidate scoring
Expected deliverable:

Session 1 — preparing structured interviews and assessing candidate answers with AI.

Topics covered

  • Preparing smart interviews with AI
  • Building an interview question bank
  • Behavioral interview questions
  • Competency-based interviews
  • Analyzing candidate answers
  • Creating an interview scorecard
  • Writing candidate communications

Practical skills

Behavioral interviewingCandidate assessment
Expected deliverable: Build an AI Recruitment Assistant: job analysis → ideal candidate profile → CV screening → interview questions → candidate assessment → recommendation report.

Session 2 — from the traditional annual review to continuous, data-driven performance management.

Topics covered

  • Designing KPIs with AI
  • Creating KPIs by role and department
  • Turning goals into SMART objectives
  • Designing performance scorecards
  • Analyzing employee performance
  • Detecting performance gaps
  • Preparing performance reviews
  • Creating employee evaluation reports
  • Writing development recommendations
  • Designing individual development plans (IDP)
  • Building performance improvement plans (PIP)

Practical skills

KPIs & SMART objectivesScorecards, IDP & PIP
Expected deliverable:

Session 2 — identifying talent and skills gaps, and planning career paths and succession.

Topics covered

  • Talent identification with AI
  • Identifying high-potential employees
  • Creating a talent matrix
  • Skills gap analysis
  • Analyzing employee skills
  • Designing learning & development plans
  • Recommending training programs per employee
  • Career path planning
  • Succession planning
  • Identifying promotion candidates

Practical skills

Talent matrixSuccession planning
Expected deliverable:

Session 2 — employee experience is no longer an annual survey, but measurable, analyzable data.

Topics covered

  • Employee engagement analysis
  • Designing employee surveys
  • Analyzing survey results
  • Sentiment analysis
  • Analyzing employee comments and feedback

Practical skills

Survey designSentiment analysis
Expected deliverable:

Session 2 — initiatives based on real causes, not assumptions, and a virtual assistant for internal questions.

Topics covered

  • Finding the causes of low employee wellbeing
  • Using AI in internal communication
  • Creating an HR virtual assistant for internal questions
  • Employee experience analysis
  • Designing engagement initiatives

Practical skills

Root-cause analysisInitiative design
Expected deliverable: Build an AI Employee Performance & Talent Dashboard showing, per employee: performance score, skills gap, training needs, potential, engagement score, promotion readiness and development recommendations.

Session 3 — people analytics turns HR from a support function into a strategic partner: numbers that explain what is happening.

Topics covered

  • What people analytics is
  • Analyzing HR data with AI
  • Working with Excel and CSV files
  • Headcount analysis
  • Turnover analysis
  • Absenteeism analysis
  • Recruitment, training and performance analytics
  • Compensation analytics
  • Employee cost analysis
  • Finding patterns in HR data
  • Creating an executive HR dashboard
  • Turning data into management decisions

Practical skills

HR data analysisHR dashboards
Expected deliverable:

Session 3 — predictive models that tell you what will happen before it does.

Topics covered

  • Predicting the risk of employees leaving
  • Attrition prediction
  • Identifying employees most likely to resign
  • Analyzing the causes of turnover
  • Forecasting future needs
  • Workforce forecasting
  • Predictive talent analytics

Practical skills

Risk scoringWorkforce forecasting
Expected deliverable:

Session 3 — automating repetitive processes, from receiving applications to reporting.

Topics covered

  • Identifying repetitive HR processes
  • Designing HR workflows
  • Automating job application intake
  • Automating candidate screening
  • Automating onboarding
  • Automating document sending
  • Automating training requests
  • Automating leave requests
  • Automating performance reviews
  • Automating HR reports

Practical skills

Workflow designGoogle Sheets · Forms · Notion · n8n · Make · HR systems
Expected deliverable:

Session 3 — from automation to agents: designing HR agents that work together.

Topics covered

  • What is an HR AI agent?
  • AI agent vs automation
  • Designing an AI recruiter agent
  • AI employee support agent
  • AI performance coach
  • AI learning & development agent
  • AI HR analytics agent
  • Building a multi-agent HR workflow

Practical skills

Agent designMulti-agent workflows
Expected deliverable: A smart recruiting agent: receive CV → analyze candidate → assess fit → interview questions → report to the HR manager → update the database.
Tools and technologies

The tools we will use during the program

ChatGPT & Claude

Analyzing CVs, writing job descriptions and analyzing employee data.

Excel & Google Sheets

Candidate scoring models, dashboards and HR data.

Forms & Email

Surveys, request intake and candidate communication.

Notion

Organizing workflows and HR databases.

n8n & Make

Automating HR processes and building agent workflows.

HR Systems & CRM / ERP

Connecting employee data to the smart system.

Hands-on practice

Projects and practical work during the program

01
PROJECT

AI Recruitment Assistant

Session 1 build: a smart recruitment assistant from job analysis to recommendation report.

Work scenario

An open role has many applicants, and management needs an objective shortlist quickly.

What you will build

Job analysis → ideal candidate profile → CV screening → interview questions → candidate assessment → recommendation report.

Final deliverable

A candidate scoring model and a recommendation report per candidate.

Skills used

CV analysisBehavioral interviewingCandidate scoring

Tools

ChatGPTClaudeExcel
02
PROJECT

AI Employee Performance & Talent Dashboard

Session 2 build: one analytical dashboard for every employee’s performance and talent.

Work scenario

Management is preparing the promotion and training cycle and needs a clear view of each employee’s readiness.

What you will build

A dashboard showing, per employee: performance score, skills gap, training needs, potential, engagement score, promotion readiness and development recommendations.

Final deliverable

A performance and talent dashboard with development recommendations per employee.

Skills used

KPI designSkills gap analysisEngagement analysis

Tools

ExcelGoogle SheetsChatGPTClaude
03
PROJECT

AI-Powered HR System

Final project: an integrated AI-powered HR system across the entire employee lifecycle.

Work scenario

The HR department wants to move from file management to a system of smart decisions — from recruitment to predictive analytics.

What you will build

Recruitment + Performance + Talent + Experience + Analytics + Automation + AI Agents in one system.

Final deliverable

An integrated HR system with a smart recruiting agent and an executive HR dashboard.

Skills used

People analyticsProcess automationAgent design

Tools

n8nMakeGoogle SheetsNotionChatGPTClaude

HR is no longer file management… it is a system of smart decisions

Three advanced hands-on sessions that leave you with an AI-powered HR system — from recruitment to predictive analytics. Register now — seats are limited.

Enroll in the Program