Certified Specialist
in Prompt Engineering
in HR and Recruiting
Master the theoretical underpinnings of Prompt Engineering for effective recruiting.
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Current program Resources for downloading Expert experience Certificate
Prompt Engineer
in HR and recruiting
is a key specialist who combines knowledge of HR processes with innovative artificial intelligence technologies.

He acts as an efficiency driver, helping the company to accelerate recruitment, optimize HR processes and reduce costs by implementing artificial intelligence.
Why is it the profession of the future?
HR shortage
Demand for prompt engineers in HR is growing faster than qualified professionals are emerging.
Recruiting Revolution
AI is changing the way recruitment is approached, and only those who master these technologies are staying ahead of the curve.
High Value
Companies are willing to pay more for talent that can accelerate processes tenfold and reduce HR costs.
Flexibility and Scalability
Prompt-engineering creates systems that are effective for small businesses and corporations alike, remaining useful through any changes.
4 benefits of using AI in HR
Speed
AI speeds up routine processes such as sorting resumes and conducting initial interviews.
Accuracy
AI algorithms help evaluate candidates objectively, reducing human bias.
Savings Automation
reduces recruiting and staffing costs.
Prediction
AI analyzes data and predicts employee turnover to help retain valuable employees.
Scalability
AI allows HR processes to easily scale, handling large volumes of candidates or employees without sacrificing quality or efficiency.
Who would be suitable for this course?
HR practitioners
Recruiters looking to improve recruitment strategies with AI HR managers innovating through operational engineering HR consultants using AI to retain talent
HR analysts and strategists
HR executives aligning AI tools with business objectives Analysts, exploring the ethics of AI solutions in HR policy Organizational development professionals increasing engagement through technology
Inclusive hiring specialists
HR experts implementing effective and unbiased recruiting practices HR innovators optimizing processes through AI
What you will learn
Foundations of Operational Engineering
Understand the key principles of operational engineering in HR.
Optimizing Recruiting
Learn how to apply operational engineering for effective recruiting.
Intelligence in Decision Making
Master analyzing the role of artificial intelligence in HR processes.
Automating Recruitment
Learn how to use AI tools to improve candidate recruitment and assessment.
Predictive Analytics
Integrate predictive models into recruiting strategies.
Ethics and AI
Develop ethical approaches to using AI in HR, avoiding bias.
Data Protection
Learn how to address privacy issues when working with algorithms.
HR Strategies and Business Objectives
Align operational design with corporate objectives.
Involvement and corporate culture
Improve employee motivation with AI technology.
Real success stories of our graduates
Anna Kokokrina
HR Director in an IT company
When Anna came to the course, her HR department was drowning in hundreds of resumes. After the training, she implemented a smart GPT-4 based system that doesn't just select candidates, but predicts their success. Now jobs close 3x faster and the company saves $100,000+ per year on recruitment processes.
Maxim Pirogov
Recruiter at a retail chain
Maxim faced a problem - how to evaluate 1,200+ applicants per month? The AI assistant he created conducts initial interviews, analyzes emotional intelligence from video responses, and does reference checks. The result: recruitment time reduced from 45 days to 15 days and quality of hire increased by 30%.
Elena Sosna
Head of HR in logistics
With a 43% driver turnover rate, the company was losing hundreds of thousands of dollars. The system developed by Elena predicts the risks of layoffs 3 months in advance and offers personalized solutions. In 8 months the turnover rate dropped to 25% and the employee loyalty index increased by 35%.
Dmitry Matus
HR-entrepreneu
Dmitry created a unique algorithm for selecting top managers analyzing 120+ parameters. His system reduced clients' budgets by 50% and ensured 92% successful appointments. This breakthrough helped attract $1.2M investment in his startup.
Course authors and supervisors
Anna Kokokrina
HR Director in an IT company
  • Implemented predictive recruitment systems in international corporations
  • Developed algorithms to reduce staff turnover (+25% efficiency)
  • 7 years in digital HR transformation
Olga Belova
Founder of HR startup
  • Created a platform to automate staff onboarding (+30% retention)
  • Implemented AI in corporate universities
  • Expert in gamification of learning with neural networks
Dmitry Sokolov
Techlead HR-Tech solutions
  • Created AI chatbots to automate 80% of initial interviews
  • Optimized recruitment processes for banks and retail xml-ph-0009@deepl.i Expert in NLP and resume processing
Elena Morozova
HR-Director with AI experience
  • Implemented AI-based soft skills assessment systems in IT companies
  • Reduced time to recruit top managers by 40% through ML
  • Author of methodologies on ethical AI in HR solutions
Artem Gusev
Data Scientist for HR
  • Developed models to predict candidate success (89% accuracy)
  • Author of People Analytics courses for Fortune 500
  • Specialization: Algorithms for inclusive recruiting
Training Program
Module 1: Preparation
Course Preparation
Module 2: Introduction to Prompt Engineer in HR and Recruitment
Introduction
Understanding Prompt Engineering
Role of Prompt Engineering in HR & Recruitment
Key Benefits of Prompt Engineering for HR Professionals
Overview of AI Tools and Technologies in Recruitment
Setting Expectations for the Course
Section Summary
Module 3: Fundamentals of Human Resources
Section Introduction
Introduction to Human Resources Management
Core HR Functions and Processes
HR Policies and Compliance
Basics of Talent Management
HR Metrics and Analytics
Section Summary
Module 4: Basics of Recruitment
Introduction
Understanding the Recruitment Process
Sourcing Strategies and Techniques
Screening and Selection Processes
Recruitment Metrics and KPIs
Employer Branding and Recruitment Marketing
Section Summary
Module 5: Introduction to AI and Machine Learning in HR
Section Introduction
Basics of AI and Machine Learning
Applications of AI in HR
Understanding Natural Language Processing (NLP)
Ethical Considerations in AI-Driven HR
Future Trends in AI for HR
Section Summary
Module 6: Developing Effective Prompts
Section Introduction
Components of a Strong Prompt
Crafting Prompts for Different HR Scenarios
Balancing Specificity and Flexibility in Prompts
Common Pitfalls in Prompt Design
Evaluating the Effectiveness of Prompts
Section Summary
Module 7: Prompt Engineering for Talent Acquisition
Section Introduction
Designing Prompts for Job Descriptions
Enhancing Candidate Sourcing with Prompts
Screening Candidates Using Prompt Techniques
Crafting Interview Prompts
Prompting for Candidate Experience Feedback
Section Summary
Module 8: Enhancing Employee Engagement with Prompts
Section Introduction
Understanding Employee Engagement
Prompts for Employee Surveys and Feedback
Using Prompts for Performance Reviews
Developing Engagement Strategies with Prompts
Analyzing Engagement Data with Prompt Assistance
Section Summary
Module 9: Prompt Engineering for Learning and Development
Section Introduction
Prompts in Training Needs Assessment
Designing Personalized Learning Paths with Prompts
Enhancing Elearning with Prompt Techniques
Facilitating Mentorship Programs Using Prompts
Evaluating Training Effectiveness with Prompts
Section Summary
Module 10: Learning Prompts for Diversity and Inclusion
Section Introduction
Understanding Diversity and Inclusion in HR
Crafting Inclusive Job Descriptions with Prompts
Designing Prompts for Bias-Free Recruitment
Prompts for Diversity Training and Awareness
Measuring Diversity and Inclusion Outcomes
Section Summary
Module 11: Prompt Engineering for HR Analytics
Section Introduction
Introduction to HR Analytics
Data Collection Methods Using Prompts
Analyzing HR Data with Prompt Assistance
Visualizing HR Data with Prompts
Making Data-Driven Decisions in HR
Section Summary
Module 12: Advanced Prompt Engineering Techniques
Section Introduction
Deep Dive into NLP for HR Prompts
Customizing Prompts for Different AI Models
Using Prompts for Predictive Analytics
Automation of HR Tasks with Advanced Prompts
Continuous Improvement in Prompt Design
Section Summary
Module 13: Integration of Prompt Engineering with HR Technologies
Section Introduction
Overview of HR Technology Landscape
Integration with Applicant Tracking Systems
Leveraging HRIS and Prompt Engineering
Enhancing HR Software with Custom Prompts
Future of HR Tech and Prompt Engineering
Section Summary
Module 14: Ethical and Legal Considerations in Prompt Engineering
Section Introduction
Understanding Privacy Concerns in HR
Ethical Use of AI and Prompts in HR
Legal Implications of Prompt Engineering
Ensuring Fairness and Transparency
Compliance and Best Practices
Section Summary
Module Bonus 1: Practical Applications and Case Studies
Section Introduction
Real-World Applications of Prompt Engineering in HR
Success Stories in Recruitment Prompt Engineering
Challenges and Solutions in Implementing Prompts
Cross-Industry Insights on Prompt Usage
Learning from Failed Prompt Engineering Attempts
Section Summary
Module Bonus 2: Finalizing Your Skills as a Certified Prompt Engineer
Section Introduction
Review of Key Concepts and Techniques
Building a Personal Prompt Engineering Portfolio
Preparing for Certification Assessment
Networking and Professional Development
Future Career Opportunities in Prompt Engineering for HR
Section Summary
Course Summary
Conclusion
Tarriffs
Introductory
4 modules Video lessons No feedback Access - 1 month No certificate
$15
Place Order
Basic
14 modules Practical lessons No feedback Access - 2 months Without certificate
$34
Place Order
Standard
14 modules Module Bonus 1: Practical applications and case studies Module Bonus 2: Finalizing Your Skills... Practical exercises Assignment check and feedback Chat for students and tutors Access - 4 months Certificate
$46
Place Order
Comfort
14 modules Module Bonus 1: Practical applications and case studies Module Bonus 2: Finalizing Your Skills... Practical assignments Personalized guidance and support from a mentor Assignment checking and feedback Chat for students and mentors Access - 12 months Certificate
$58
Place Order
Corporate
Groups of 5-10 people 14 modules Module Bonus 1: Practical applications and case studies Module Bonus 2: Finalizing Your Skills... Practical tasks Group chat Tutor support Feedback Access - 12 months Certificate
$500
Place Order
How the training works
1 Watch lectures and cases at your own pace
2 Do practical tasks to practice your new skills
3 If you have any questions, send them to the supervisor
4 Receive an official document on course completion
Proof of Your Expertise
Upon completing the program, you'll earn an official certificate validating your newly acquired competencies - a powerful asset for your professional portfolio that demonstrates tangible value to potential employers.
Feedback from students about the course
Alina
The program is built perfectly: from the basics to complex cases. Each module is logically connected to the previous one. Even complex topics are explained with real examples - without water. And the support of mentors is just fire!
Kirill
For the first time I took a course where there is no "chaotic" learning. Clear instructions, step-by-step breakdowns, templates for implementation. Special praise for the closed chat - there is help even at night!
Sofya
I was afraid that I wouldn't understand AI, but the material is presented like a constructor: simple and systematic. All scripts and algorithms have ready examples. Now I teach my colleagues myself!
Artem
I appreciate the structure: theory → practice → implementation. Checklists and checkpoints for each tool. Mentors do not quit after the course - they consult on real projects.
Daria
Not once did I get hung up on assignments! There are video breakdowns, guides and even “first aid” from experts. All the knowledge is packaged in such a way that you can apply it the next day.
We will refund your money in
full if the course is not suitable
Money can be returned at any time. During the first three lessons, we will refund you the full amount, and starting from the fourth, we will calculate the refund amount or help you choose another course instead.
Your questions
Is this course suitable for me if I have no experience with AI?
You don't need any specialized knowledge to take this course. Our experts will explain
the specifics of working with AI and help you take the first steps in your career.
What documents will I receive at the end of the course?
You will receive a training certificate upon successful completion of the course.
How many hours per week will I need to spend on the platform?
It depends only on you. On average, users of the platform study from 3 to 7 hours per week.
Who will assist me in learning on the platform?
You will have reviewers and a supervisor in the Telegram chat of the course. They will comment on
practical work, give useful tips and answer any questions. You will be able to learn from their experience.
How does the training work?
You will be able to study the materials at your convenience, without taking time off work. The training package is based
on modern, effective materials. They are accessible even to beginners learning the material from scratch. Training and
all materials are available anywhere, 24 hours a day, 7 days a week, within the time limits of your tariff.