
Tools in this lecture
Files to download (1)
Ready to use on the slides (4)
Tools in this lecture
Files to download (1)
Ready to use on the slides (4)
Tools in this lecture
Files to download (1)
Ready to use on the slides (3)
Models and methods explained (1)
Tools in this lecture
Files to download (1)
Ready to use on the slides (4)
Tools in this lecture
Files to download (1)
Ready to use on the slides (3)
Models and methods explained (1)
Fundamentals of Artificial Intelligence in HR.
Overview of the current state of the technology and future trends.
Understanding HR needs and AI capabilities.
Which robots already exist and which are coming soon
What OpenAI's Figure 1 can do
The 3 laws of robotics and their application in HR
Tools in this lecture
Models and methods explained (1)
General principles of work and possibilities of ChatGPT.
Practical examples of use in recruiting, training and support of employees.
Integrating ChatGPT into HR-systems.
Creating your own GPTs.
Tools in this lecture
Services and apps shown in this lecture (1)
Automation of routine queries and FAQs.
Employee support and initial diagnosis of HR issues.
Creation of personalised training programmes.
Utilisation for Corporate Culture and Employer Brand.
Generating pictures with ChatGPT
Tools in this lecture
Ready to use on the slides (2)
Services and apps shown in this lecture (11)
Using ChatGPT for data analysis and reporting.
Analyse surveys with ChatGPT
Forecasting hiring trends and needs.
Developing retention and development strategies.
Overview of Microsoft Copilot capabilities.
Tools in this lecture
Ready to use on the slides (3)
Services and apps shown in this lecture (3)
Improving job texts and letters to candidates.
Tools to automate CV screening and pre-screening.
Using AI to assess candidate fit.
Improving quality of hire and reducing bias.
Sourcing plugins for candidate communications.
Tools in this lecture
Ready to use on the slides (2)
Services and apps shown in this lecture (22)
Personalised training programmes.
Monitoring and analysing training effectiveness.
Integrating AI into corporate learning platforms.
Creating courses on AI platforms.
Tools in this lecture
Ready to use on the slides (10)
Services and apps shown in this lecture (2)
Models and methods explained (2)
Using AI to track and analyse performance.
Developing personalised development plans.
AI in managing employee sentiment and well-being.
Tools in this lecture
Ready to use on the slides (10)
Services and apps shown in this lecture (12)
HRIS platforms that have the most AI processes in place
Planning and implementing AI projects in HR.
Change management and overcoming opposition.
Data security measures and ethical considerations.
Tools in this lecture
Ready to use on the slides (3)
Services and apps shown in this lecture (3)
Models and methods explained (2)
Types of robots used in office and manufacturing.
Employee interaction with robots and automated systems.
Development of policies and procedures for harmonious integration.
New HR responsibilities related to robots in companies
Tools in this lecture
Ready to use on the slides (5)
Predictions for the future of the work environment and the role of AI and robots.
Staff training and adaptation of HR policies to the new realities.
A checklist for the readiness of all HR processes for AI and robots
Developing strategies for effective change management.
Tools in this lecture
Ready to use on the slides (2)
This course contains the use of artificial intelligence.
Adding AI to a task does not automatically improve the workflow around it. The sequence, handoffs, responsibilities and quality checks need a design of their own. Here are 112 tools for that: 55 ready-to-use AI prompts, checklists and procedures, 7 models and methods, 45 services shown on screen and 5 interactive tools.
Open a lecture, take the tool, map one workflow this week.
Why a faster step can slow the process
A faster draft can still wait in the same approval queue. Work removed from one role reappears as checking and correction work in another. When the process stays unchanged, local improvements leave the overall result unreliable and the new responsibilities unclear.
What changes after this course
The relationship between people and AI becomes visible. Each step has an input, an output, a receiving role and a clear condition for completion. Preparation, review and approval are distinguished, so accountability does not disappear behind a tool. And you have a process specification a process owner can inspect before implementation planning begins.
A note on the structure
The first five lessons are the workflow redesign core, with five interactive browser tools and a fictional process, so you can practise without a live pilot. The original lessons follow as broader foundations and HR examples: AI capabilities, automation, people analytics, recruitment, learning, performance measurement and robotics.
What is inside: 112 tools, counted lecture by lecture
You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name.
Where the tools are
Who is teaching
I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe.
At the STB TV channel my recruiters told me they spent half of every Friday counting candidates and interviews for the weekly report. Ten people losing half a day is two people's work for a week. We introduced a system where a recruiter only marked each call, interview or test, and the report was built from those marks. I also learned that a process needs as much detail as its task requires: my internal transfer procedure had nine steps and no flowchart, because none was needed.
How to use the course
Start with the five core lessons and run one real workflow through all five tools. Then use the HR sections as examples and foundations. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.
What is included
Where to start
Pick one workflow where AI already does part of the work and draw its current steps and handoffs with the first tool. Enrol now and start your first lesson today.