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AI in HR is a course on how to apply all the benefits of artificial intelligence from ChatGPT to full-fledged HRIS solutions with AI functionality already implemented.
Studies say that AI can save 30% to 50% of employee time, as well as provide a number of benefits, so it's time for HR professionals to embrace these technologies and learn how to work with them.
Studies say that AI can save 30% to 50% of employee time, as well as provide a number of benefits, so it's time for HR professionals to embrace these technologies and learn how to work with them.
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Four reasons to enrol now
Don't miss your chance!
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Who is this course for- For HR professionals who want to explore AI tools, including ChatGPT to improve their performance
- For HR managers who want to integrate AI tools into HR processes
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What the course will give you- The course will create an understanding of the opportunities and limitations of AI in HR activities
- Provide a set of ready-made solutions and services for HR
- Provide ready-made queries for ChatGPT and other services
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Benefit- You will be able to reduce 30% to 50% of your time on routine and creative tasks
- Master the skill of interacting with AI
- Secure your place in a future where AI takes an increasingly central role
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Difference from other courses- This is the first course on AI HR
- The course covers more than 20 ready-made solutions
- More than 100 ready ChatGPT queries
- Lots of practice and feedback from the lecturer
Course programme about Artificial Intelligence in HR
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 1. The AI Landscape and Embedded AI in HRIS
- How the AI market for HR has evolved: standalone AI → AI within HR systems → agents
- 5 levels of AI maturity in HR: from manually operated ChatGPT to autonomous HR agents
- Which HR tasks are already built into modern HRIS systems
- Workday Illuminate: AI for recruiting, talent, skills, workforce management, and employee experience
- SAP Joule: An AI assistant within SAP SuccessFactors and working with HR data
- Rippling: AI built on top of a unified database of employees, payroll, IT, and HR
- HiBob: AI features for HR teams and managers
- Leena AI: Employee service delivery and HR knowledge assistant
- Embedded AI vs. a standalone AI tool: when is each more beneficial?
- How to check which AI capabilities are already available in your HRIS and what you’re already paying for
- HR tech stack audit checklist: where AI is already present, where it’s missing, and where functions overlap
- Practical exercise: creating an AI map of your own HR system
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 2. The Big Four: ChatGPT vs. Claude vs. Gemini vs. Copilot
- How the Four Major AI Assistants Actually Differ
- ChatGPT: A versatile HR tool, file handling, research, data analysis, and chatbots
- Claude: Large documents, projects, analytics, tool creation, and context handling
- Gemini: Google Workspace, Gmail, Docs, Sheets, Drive, and corporate knowledge
- Microsoft Copilot: Teams, Outlook, Word, Excel, PowerPoint, and Microsoft 365
- Testing the Same HR Tasks Across the Four Systems
- Which One Is Better at Writing, Analyzing, Researching, and Working with Spreadsheets and Documents?
- GPTs, Claude Projects, Gems: Creating a Personal HR Assistant
- How to upload policies, procedures, competency models, and other company knowledge
- Deep Research: How to conduct research on the labor market, competitor practices, and HR trends
- How to choose 1–2 main AI tools and avoid paying for five identical subscriptions
- Hands-on: Creating Your Own HR AI Assistant
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 3. AI in Recruitment and Sourcing
- AI Recruitment Map: sourcing → screening → interview → evaluation → hiring
- LinkedIn AI: candidate search, recommendations, and Recruiter integration with AI
- SeekOut: AI sourcing and searching for hard-to-find profiles
- Eightfold: candidate matching and skills intelligence
- Paradox: conversational recruiting and communication automation
- HireVue: interviews, assessments, and AI features
- Metaview: automatic recording, summarization, and analysis of interviews
- Where AI truly reduces time-to-hire, and where it simply adds another tool
- AI-generated job descriptions and job postings
- Creating a sourcing strategy using AI
- CV screening and comparing candidates against a Success Profile
- Interview Copilot: questions, notes, scorecards, and final conclusions
- Risks related to bias, privacy, and automated solutions
- Hands-on exercise: managing a single job opening with AI, from application to shortlist
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 4. AI in Onboarding and HR Service Delivery
- Why Onboarding Is Ideal for AI Automation
- Leena AI as an HR Service Desk and Employee Assistant
- Enboarder: Automating Employee Journeys
- An AI Bot Built on Top of Company Policies, Guidelines, and the Knowledge Base
- How to Turn Hundreds of HR Documents into a Single “Ask HR” Interface
- FAQ → Knowledge Base → RAG → AI Assistant
- Answers to questions about salary, vacation, benefits, remote work, and policies
- Personalizing onboarding by role, country, and department
- Automatic reminders for employees and managers
- How to measure the quality of an HR bot and prevent hallucinations
- Live demo: building an onboarding/HR service chatbot
- Hands-on exercise: designing a 30-day AI onboarding journey
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 5. AI in Education and Development
- How AI Is Changing ADDIE and Traditional Instructional Design
- Creating a Course Outline in Minutes
- Turning SME Materials into Full-Fledged Learning Content
- Synthesia: Corporate AI Videos and Avatars
- HeyGen: Videos, Avatars, Translation, and Localization
- Sana: AI-Native Learning Platform
- 7taps: Creating Microlearning
- PDF/Presentation/Policy → Course
- AI-Generated Quizzes, Case Studies, Simulations, and Role Plays
- Personalized Learning Paths
- AI Tutor for Employees
- Localizing a Single Course into Dozens of Languages
- Hands-On: Creating a Mini-Course and Training Video in One Session
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 6. Artificial Intelligence in Performance Management and Talent Management
- How the AI-Powered Performance Evaluation Cycle Works
- Goals → Interim Reports → Feedback → Final Evaluation → Development Plan
- Lattice AI: Performance Management Support
- Culture Amp: Performance and Engagement Analytics
- Eightfold Talent Intelligence: Skills, Mobility, and Talent Acquisition
- AI Assistant for Managers in Preparing Final Performance Evaluations
- Summarizing 360-Degree Feedback Results
- Identifying Inconsistencies and Patterns in Feedback
- Calibration Using AI
- Creating a personalized development plan
- Identifying skills: determining an employee’s skills without manual skill assessment
- Internal mobility and sourcing candidates within the company
- Succession planning with AI
- Where is the line between an AI recommendation and a human HR decision?
- Practical exercise: conducting a full performance evaluation cycle for one employee
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 7. AI in Compensation and Grading
- Where AI Is Used in Compensation & Benefits
- Payscale: Market Pricing and Compensation Intelligence
- Ravio: Compensation Benchmarking Based on Up-to-Date Data
- How AI Helps with Salary Benchmarking
- In-Depth Salary Research: Collecting Data from Multiple Sources
- Cleaning and Normalizing Salary Data
- Establishing Salary Ranges: Min / Midpoint / Max
- Compa-ratio, penetration, and deviation analysis
- AI for job matching: comparing positions to the market
- Job evaluation and preliminary grading
- Pay equity and salary anomaly analysis
- Creating compensation recommendations for managers
- Why You Shouldn’t Let AI Make the Final Decision on Salary
- Hands-on: Building salary ranges and preliminary grades for several positions
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 8. AI in Employer Branding and Communications
- AI as a Full-Fledged HR Content Factory
- EVP → Topics → Content Plan → Copy → Images → Videos → Posts
- Canva AI for HR Content
- Midjourney for visual employer brand concepts
- Creating a unified visual style with AI
- AI-generated photos and images of employees: opportunities and risks
- Generating job postings for different channels
- One piece of content → LinkedIn + Instagram + Telegram + email + career site
- Personalizing communications for different employee personas
- Analysis of employee and candidate feedback
- Employer brand monitoring and sentiment analysis
- AI analysis of Glassdoor, Indeed, social media, and other sources
- Building a content pipeline with minimal HR involvement
- Hands-on exercise: Creating a weekly employer brand campaign in one session
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Lesson 9. HR Analytics with AI
- Why Generative AI Dramatically Lowers the Barrier to Entry for People Analytics
- Visier: People Analytics and AI
- One Model: Consolidating HR Data and Analytics
- What HR Data Can Be Analyzed Directly in ChatGPT and Claude
- CSV/XLSX → Natural Language Queries → Insights
- Headcount and Workforce Analysis
- Turnover and Retention
- Recruitment Funnel
- Absenteeism
- Performance
- Compensation
- Engagement
- Finding Correlations and Anomalies Without Python
- Automatically Generating an Executive Summary
- How to Get AI to Verify Its Own Calculations
- Privacy: What Employee Data Should Not Be Uploaded to Public AI Models
- Hands-On: Upload an HR Data Export and Create a Mini People Analytics Report in 30 Minutes
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 10. AI Agents in HR
- How an agent differs from a chatbot, a workflow, and a standard prompt
- Agentic HR: AI not only responds but also executes a sequence of actions
- Trigger → reasoning → tools → action → memory → monitoring
- Zapier Agents: agents built on top of business applications
- Make: visual AI workflows
- n8n: more flexible agentic workflows
- ChatGPT Agents: Opportunities for Personal and Team Automation
- Agent #1: Recruiting Agent — gathers information and prepares a shortlist
- Agent #2: HR Service Agent — responds to employees and routes requests
- Agent #3: HR Analytics Agent — retrieves data, analyzes it, and generates a report
- Human-in-the-loop: when an agent must pause and ask a human
- Permissions, privacy, logs, and action control
- How to calculate an AI agent’s ROI
- Hands-on: breaking down three working agents node by node
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Lesson 11. Your Own No-Code AI Tools
- Why HR No Longer Has to Wait for IT for Every Internal Tool
- From Idea to Working Prototype in a Single Session
- Claude Artifacts: Fast, Interactive HR Tools
- Lovable: Building a Full-Fledged Web Application Using Prompts
- ChatGPT Canvas and Modern Rapid Prototyping Capabilities
- How to Properly Describe an AI Task as a Product Specification
- Interface, logic, data, and calculation rules
- Building Tool #1: Interview Scorecard
- Building Tool #2: Salary Calculator / Grading Tool
- Building Tool #3: Performance Review Assistant
- How to Test the AI Tool You’ve Built
- When You Can Use the Prototype Yourself, and When an IT/Security Review Is Needed
- Hands-On: Each Participant Builds Their Own HR Mini-App
Recorded class with a feedback on the homework
Recorded class with a feedback on the homework
Session 12. AI in Engagement and Retention
- The New Engagement Cycle: listening → analysis → action → measurement
- Culture Amp: AI-powered engagement analysis
- Workday Peakon Employee Voice: continuous listening
- Qualtrics AI: employee experience and feedback analysis
- Creating an engagement survey with AI
- Verifying the quality of questions and survey structure
- Analysis of thousands of open-ended comments
- Sentiment + themes + reasons for dissatisfaction
- Segmentation of results by departments and employee groups
- Automatic generation of an action plan for managers
- Retention analytics: Which indicators are associated with resignations
- What AI can and cannot predict regarding attrition
- Stay interviews with AI
- AI-assisted exit interviews
- Aggregated analysis of exit interviews: why people really leave
- Risks of “predicting the resignation” of a specific employee
- Practical application: from a large set of employee comments to the top 5 issues and an action plan
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Join chat How the course about AIHR
1
Webinar recording
You watch the recorded sessions at your own pace and study the material. We open 1 lesson per week
2
Homework checked by the course author
Each webinar has a practical task that you must do to get a diploma
3
A case study of the participants
We chat on Telegram and discuss participants' cases remotely
4
Getting a diploma
Students who successfully complete the course assignments will receive a diploma at the end of the course
Diploma of HR Professional after completing the course
So coveted and valuable
So coveted and valuable
- Integrates into Linkedin profiles
- Each diploma has a unique code
- QR code on the diploma leads to the online version
- Impossible to forge
- Issued on a certified Accredible platform (the same place where Rosetta Stone, Google, Udacity, Kaplan University and others issue certificates), look at an example
Who leads?
Course author and facilitator Mike Pritula
- Mike Pritula Academy founder
- No. 1 Opinion Leader in HR in 2019
- HR Advisor PeopleForce.io
- 21 years in HR Wargaming, Preply, iDeals, Starlightmedia, Alfa Bank
- Implemented more than 50 HR projects
- Formed 4 HR teams in different businesses
- Top 10 best HR CIS
- Since 2010 he has been involved in online training
- HRCI representative in Eastern Europe
- PHRi certification holder
- He was the first to launch online HRCI certification preparation courses in more than 10 countries.
- More than 170,000 students
- Author of HR competency model
- Author of the most comprehensive HR audit checklist
- HR Person of the Year of Ukraine (2018) and Belarus (2017)
- More than 100 published articles and presentations
- More than 2 million views of articles
- Author of the book "Resume for a Million"
HR-persona
in Ukraine and Belarus
TOP-20
HR leaders
TOP-5 HR
by delo.ua
#1
HRCI Eastern Europe representative
What's inside the course about Artificial Intelligence in HR
Here is what you will get on the course
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Intensive course workIn the course you are not a passive listener, but actively participate in chat during the class and between classes, and practice all the knowledge you have learned and receive feedback from the course author -
ToolsYou will receive a large number of proven tools that the author has tested in a wide variety of companies, many of which have been developed personally, as well as examples from top companies -
Ready-made solutionsYou don't have to develop all the solutions yourself. You will get ready-to-use solutions straight away, on a "take-it-or-leave-it" basis. Your only task is to adapt all the tools you receive to your company -
ExamplesWe will have many examples and cases from companies in a wide variety of industries of how they have solved business problems using sourcing tools. You are sure to find many ideas for yourself -
Homework assignmentsIn your homework, you will adapt all the tools and solutions to your business, and the course author will personally check how you did it. -
Chat roomAll students are added to a dedicated Telegram-chat where they can ask questions and get help, share experiences and find like-minded people and friends.
From graduate surveys
What graduates say about the AI in HR course
I now clearly understand the strategic value of AI tools for my role and the company as a whole — for example in recruitment, efficiency and talent retention.
I got to test and evaluate these tools in practice.
The introduction of AI in HR provided an excellent understanding of how AI technologies can be applied in recruiting, candidate sourcing, and new employee adaptation.
Reviews come from the surveys graduates fill in when they receive their diploma.
Enroll in the course CONVENIENT STUDENT ACCOUNT
How the course about AI in HR practices is taught
All resources: webinar recordings, presentations, supplementary materials, are stored in your personal account.
For communication and support, all participants communicate in a dedicated Telegram chat room.
For communication and support, all participants communicate in a dedicated Telegram chat room.
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