
The lecture starts with real work: you place your own company on four levels of how hiring, reviews and pay actually get done when there is no HR department, and you take the single move up from your level.
This course is built from six disciplines: AI basics at work, AI recruiting, a second tool for hiring, AI performance reviews, pay and rewards, and HR automation.
The map of the course
A dictionary for reading lectures recorded for recruiters
Compensation analysts and HR departments as work in a company of thirty people
Three questions to ask after every lecture
A short self-diagnostic that shows which sections to watch first
Download the HR Level Check and mark your level after the lecture.
Tools in this lecture
Files to download (1)
The capabilities, and the real limitations
How to formulate a prompt so the answer is usable
Working with the interface
Where all of this is heading
Tools in this lecture
Ready to use on the slides (6)
Services and apps shown in this lecture (1)
Organising tasks and plans
Generating ideas, and help with a decision
Ready prompt templates for recurring work
Examples from ordinary daily use
Tools in this lecture
Ready to use on the slides (31)
Models and methods explained (2)
Business letters, reports, instructions and templates
Analysing information and files
Building your own assistant on top of your own documents
Tuning it to your role, and preparing for meetings
Tools in this lecture
Ready to use on the slides (51)
Services and apps shown in this lecture (1)
Generating names, slogans and scripts
Content for social media and a blog
Rewriting and adapting text to a required style
Creating images
Tools in this lecture
Ready to use on the slides (5)
Finding and structuring information
Summaries, lists and analytical material
Learning a new subject through dialogue
Prompts for developing a skill
Tools in this lecture
Ready to use on the slides (6)
Services and apps shown in this lecture (14)
Integrating it into everyday processes and apps
Building complex prompts that return precise answers
Non-standard tasks, from writing to strategy
Services already built on top of these models
Tools in this lecture
Ready to use on the slides (9)
Defining the requirements for the person you need
Creating an advert that attracts rather than describes
Analysing how the role performs
Improving it from candidate feedback, and comparing with competitors
Tools in this lecture
Ready to use on the slides (17)
Services and apps shown in this lecture (1)
Improving your own professional profile with AI
Strategies that get a candidate's attention
Developing what makes your offer distinct
Monitoring what candidates actually do
Tools in this lecture
Ready to use on the slides (14)
Services and apps shown in this lecture (5)
The basics of CV analysis with AI
Identifying the key skills and qualifications
Validating a CV against the requirements
Preparing interview questions directly from what you read
Tools in this lecture
Ready to use on the slides (8)
Services and apps shown in this lecture (5)
Sourcing techniques and strategies with AI
Practical examples that worked
Writing and improving outreach emails
Using social platforms for the search
Tools in this lecture
Ready to use on the slides (4)
Services and apps shown in this lecture (5)
Developing communication scripts
Handling responses and next steps
Practising negotiation and objections
Testing what actually gets replies
Tools in this lecture
Ready to use on the slides (26)
Services and apps shown in this lecture (3)
Optimising the way you run a search
Planning and managing the tasks
Automating what repeats every time
Tracking progress and analysing what happened
Tools in this lecture
Ready to use on the slides (35)
Services and apps shown in this lecture (4)
Developing questions and scenarios
Assessing a candidate's answers
Post-interview feedback
Analysing the outcome and improving the next one
Tools in this lecture
Ready to use on the slides (4)
Creating content that attracts the people you want
Improving visibility on the platforms candidates use
Developing and running the attraction strategy
Evaluating whether the campaign worked
Tools in this lecture
Ready to use on the slides (3)
Services and apps shown in this lecture (1)
Using AI alongside your other tools
Getting more out of integration
Building your own solutions
The difficulties integration actually causes
Tools in this lecture
Ready to use on the slides (1)
Services and apps shown in this lecture (8)
Defining the indicators that matter in hiring
Tracking and analysing them
Making decisions from the data rather than the feeling
Producing the report and the presentation
Tools in this lecture
Ready to use on the slides (9)
Services and apps shown in this lecture (3)
Where each model wins: context window, accuracy, long documents
The interface, the model choice, style settings and memory
Security: what you can and cannot upload about a candidate
The anatomy of a prompt, a job advert in three minutes, and five common mistakes
Tools in this lecture
Files to download (3)
Ready to use on the slides (16)
Services and apps shown in this lecture (1)
Models and methods explained (1)
What a project is, and why it beats starting a new chat each time
Setting one up for a specific role and team
What to put in the instructions and what to upload
Reusing it for the next opening
Tools in this lecture
Files to download (3)
Ready to use on the slides (19)
Services and apps shown in this lecture (1)
Models and methods explained (2)
From boolean search strings to AI-assisted screening
Reading a CV at volume
Scoring against your own criteria
Where the model is unreliable and you must look yourself
Tools in this lecture
Files to download (2)
Ready to use on the slides (16)
Services and apps shown in this lecture (1)
Models and methods explained (1)
Writing outreach that gets a reply
Interview preparation and notes
Rejections that do not damage your name
The offer conversation
Tools in this lecture
Ready to use on the slides (17)
Services and apps shown in this lecture (2)
Models and methods explained (2)
Connecting the model to the tools you already use
Working directly in the browser
The shared working mode
Automating a repeated workflow end to end
Tools in this lecture
Files to download (3)
Ready to use on the slides (12)
Services and apps shown in this lecture (5)
Models and methods explained (1)
Written instructions the model follows every time
Skills, and what they replace
Assembling the parts into one working system
What to maintain and what to leave alone
Tools in this lecture
Files to download (3)
Ready to use on the slides (17)
Services and apps shown in this lecture (1)
Models and methods explained (3)
The role of AI in writing SMART goals and objectives
Automating the goal-setting process itself
Generating high-quality goals and key results
The tools that do this, compared
Tools in this lecture
Ready to use on the slides (1)
Services and apps shown in this lecture (4)
Models and methods explained (1)
Monitoring performance as it happens
Predictive analytics and spotting a trend early
Automating the actions that improve performance
Automatic feedback generation and productivity analysis
Tools in this lecture
Services and apps shown in this lecture (2)
Models and methods explained (1)
Creating the review form questions with AI
Preparing data so the evaluation is objective
Free and paid tools that run the whole cycle
Synthesising feedback from several sources
Tools in this lecture
Services and apps shown in this lecture (3)
Models and methods explained (1)
This course contains the use of artificial intelligence.
In a company of thirty people there is no HR department, so all three of its jobs land on you: hiring, reviews and pay. Here are 584 tools to do them well: 435 ready-to-use AI prompts, procedures, checklists and templates, 36 models and methods, 80 services shown on screen and 33 working files.
Open a lecture, copy the prompt, use it on a real task today.
Three gaps, and no budget to fill them
You hire four times a year, which is exactly the frequency at which nobody gets good at it. The advert is a list of duties, the CVs blur together, and the interview is improvised. You have never run a performance review, because the templates online assume a department that does not exist. And pay is set by feel: two people doing the same work are probably on different money, and one of them will find out.
What changes after this course
You write a job advert in minutes and screen CVs against clear requirements. You know which AI tool to use for which task and what data must stay out of it. You run reviews with goals, a form and a development plan. You grade jobs, compare pay with the market and find who is underpaid. And you plan the payroll budget and benefits in numbers.
Written for a company with no HR department
There are many AI courses for people who work in HR. This one is for the owner or manager who ended up holding the hiring, the reviews and the pay decisions because there was nobody else. Everything here works without a team, without a budget and without an HR system: a chat window, a spreadsheet and about an hour.
What is inside: 584 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. I am also a founder and lead the strategy of my own academy.
I talk to ChatGPT every day, five to ten conversations, each in a new tab. When an answer is not good enough, I rewrite the instruction until it is, and for my regular tasks I keep ready templates that describe exactly what I need and how the answer should look. In my own academy every blog illustration is made the same way: a template where I paste the article title and the style, instead of spending five or ten minutes searching for a picture.
How to use the course
Start with the first lecture and its level check. Then go to the job you face this month: hiring, reviews or pay. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.
What is included
Where to start
Write down what you pay your last three hires and why. If any of those answers is "because they asked", start with the pay sections. Enrol now and start your first lesson today.