Artificial Intelligence for Managers
and Administrative Professionals
The micro-credential is a practical educational program designed for anyone who wants to start using artificial intelligence effectively in their daily work—without the need for programming or technical background.
9 093 CZK
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Secure your place in this unique course
During 20 hours of instruction, participants will learn how to integrate AI tools into their daily work activities, automate routine tasks, speed up their work with information, texts, and data, and improve their decision-making and personal productivity. The emphasis is on specific scenarios from the practice of managers and administrative roles, a clear explanation of the principles of AI, and the safe, ethical use of these technologies.
15. 9. - 29. 9. 2026
Full-timeForm9 093 Kč incl. VATPriceV Kapslovně 2767/2, Praha 3Adress
15. 9. - 29. 9. 2026
OnlineForm9 093 Kč incl. VATPriceMS TeamsAdress
2. 11. - 11. 11. 2026
OnlineForm9 093 Kč incl. VATPriceMS TeamsAdress
2. 11. - 11. 11. 2026
Full-timeForm9 093 Kč incl. VATPriceV Kapslovně 2767/2, Praha 3Adress
Teaching blocks
15. 9. | 17. 9. | 22. 9. | 24. 9. | 29. 9. | ||||||
| Module 1 (16-20h) | Module 2 (16-20h) | Module 3 (16-20h) | Module 4 (16-20h) | Module 5 (16-20h) | ||||||
2. 11. | 4. 11. | 9. 11. | 11. 11. | TBD | ||||||
| Modul 1 (13-17h) | Modul 2 (13-17h) | Modul 3 (13-17h) | Modul 4 (13-17h) | |||||||
About the course
Are you looking to gain practical knowledge of how to use Artificial Intelligence (AI) and Large Language Models (LLMs) in your business? This intensive course will guide you through the key AI concepts and their applications, from automating routine tasks to advanced data analysis. You will learn how to create effective prompts, implement AI tools into business processes, and design pilot projects with maximum impact.
The program also includes a module dedicated to legal aspects, risks, and regulations (including the AI Act), which is sponsored by the Legitas law firm.
The program includes hands-on demonstrations, case studies, and interactive workshops that allow you to immediately apply what you learn. The course is suitable even for participants without technical backgrounds and emphasizes the legal and ethical aspects of AI. After completing the course, you will be equipped to use artificial intelligence effectively in your daily practice and gain a competitive advantage.
3 ECTSTotal ECTS creditsBeginnerLevelCZLanguage
Legitas - Legal aspects and risks
Course Content and Schedule
Block 1
1. Module: Introduction to AI and Its Role in Business (4 hours)
1.1 Understanding the Basics of AI and Its Business Impact (90 min)
This module explains key AI concepts such as machine learning, NLP, and LLMs, along with their practical applications in business. It focuses on understanding how AI helps improve efficiency and reduce costs in everyday processes.
This module explains key AI concepts such as machine learning, NLP, and LLMs, along with their practical applications in business. It focuses on understanding how AI helps improve efficiency and reduce costs in everyday processes.
- Key Terms: AI, machine learning, NLP, large language models (LLMs).
- History and Trends: A brief timeline and the current significance of AI.
- Business Value: Automation, time savings, improved efficiency.
- Difference Between a Chat Model and an AI Assistant, including application examples.
1.2 Practical Business Use Cases (90 min)
In this module, we focus on real-world examples of how AI is used — such as email automation, report generation, or chatbot implementation. We will demonstrate how companies leverage AI to gain a competitive advantage.
In this module, we focus on real-world examples of how AI is used — such as email automation, report generation, or chatbot implementation. We will demonstrate how companies leverage AI to gain a competitive advantage.
- Automation of Routine Tasks: emails, forms, reports.
- Chatbots and Voice Assistants: internal support and customer communication.
- Decision Support: data processing, trend prediction.
- Examples of companies that have already implemented AI and the results they achieved.
1.3 Discussion and Interaction (40 min)
- Q&A on the theoretical foundations.
- Brainstorming: potential uses of AI in participants’ own processes.
- Sharing ideas among participants.
1.4 Summary and Evaluation (20 min)
- Recap of key concepts and preparation for the next module.
- Discussion of expectations for the practical demonstrations in the next part of the course.
2. Module: Language models and NLP in practice (4 hours)
2.1 Introduction to Language Models (60 min)
- What is a language model and why is it so useful for text creation and processing?
- Examples of tools: ChatGPT, Bing Chat, Bard (basic description of how they work, how they differ).
- Prompt engineering in a nutshell: why it is important how we ask a question or prompt AI.
2.2 Practical work with language models (90 min)
- How to formulate a query for AI so that the output is as accurate as possible: tone, style, context.
- Examples:
- Generating business emails or texts for marketing purposes.
- Summarizing long documents or reports.
- Creating short presentations or outlines for training.
- Tips and tricks: how to recognize when AI is "making things up" and when it is better to use verified sources.
2.3 Ethical and legal aspects (60 min)
Data protection and basic principles (GDPR at a basic level).
- Potential risks: bias, misinformation, security of shared data.
- Internal company rules: when and how to consult with IT and management about AI deployment.
2.4 Case studies and discussions (30 min)
- Specific examples of successful and easily understandable deployment of language models.
- Open discussion on possible obstacles and participants' real-life experiences.
Block 2
3. Module: Integration of AI into Business Processes (4 hours)
3.1 Identifying Opportunities (60 min)
This module helps participants identify areas where AI can deliver the greatest value and introduces simple methods for analyzing processes and evaluating their automation potential.
- How to identify processes suitable for automation.
- Evaluating costs and benefits (ROI).
- Practical tools for analyzing process efficiency.
3.2 Pilot Projects and Implementation (90 min)
In this module, participants learn how to structure AI pilot projects—from initial testing to full-scale deployment.
- Process: From Proof of Concept to full-scale deployment.
- Collaboration between a reasoning model and a “standard” model: practical demonstrations.
- Evaluating the success of a pilot project and iterating based on feedback.
3.3 Change Management (60 min)
A practical module focused on introducing AI into the workplace and communicating its benefits to employees.
A practical module focused on introducing AI into the workplace and communicating its benefits to employees.
- Explaining the benefits to colleagues.
- Internal guidelines for working with AI.
- Communication strategies for smooth AI adoption.
3.4 Practical Tips and Discussion (30 min)
A module dedicated to sharing best practices and discussing real-world examples.
A module dedicated to sharing best practices and discussing real-world examples.
- Sharing best practices.
- Recommendations of tools and partners.
- Discussion of participants’ real-world examples.
4. Module: Workshop (4 hours)
4.1 Project (90 min)
- Participants will propose a specific scenario for deploying AI in their company.
- They will define goals, metrics, necessary resources, and implementation procedures.
- Proposal for integrating a language model with an internal database (RAG) or internal AI assistant.
4.2 Evaluation of knowledge and skills (60 min)
- A short test to check your understanding of key concepts (prompt engineering, ethics, integration).
- Practical task: design a prompt or simple solution with an AI model.
4.3 Summary and recommendations for further development (30 min)
- Recap of the main points of the course.
- Recommendations for advanced resources, tools, communities, and literature.
Block 3
5. Module: Legitas - Legal aspects and risks (4 hours)
Legal standards and regulations, the AI Act, a legal perspective on cybersecurity, contractual protection of customers, and related legal practice
5.1 How Law Impacts AI
- Why AI cannot be used without a legal context
- Typical legal and security issues in the use of AI
- Overview of relevant legal areas (criminal and civil law, AI Act, GDPR, etc.)
- Examples of situations where improper use of AI led to legal or reputational risks
5.2 Key Legal Regulations
- Practical impacts of regulation on specific AI systems (LLMs, automation, chat/voice bots)
- Personal data protection (GDPR)
- European AI Act regulation
- Copyright law
- Terms of use and contractual relationships
5.3 Selection of Secure AI Tools
- How to assess whether an AI tool (ChatGPT, Claude, DeepSeek, etc.) is appropriate and secure
- Risk assessment criteria: security, GDPR compliance, data handling
- Examples of risk assessments for commonly used AI tools
5.4 Proper Use of AI Tools
- Handling personal and sensitive data
- Contractual terms and conditions
- Copyright considerations
5.5 Internal Process Setup
- How to ensure legal and secure use of AI within a company or organization
- AI literacy and employee training
- Internal rules and AI guidelines
- Inventory and audit of used AI tools
5.6 Discussion and Q&A
- Sharing experiences
- Addressing specific practical questions
- Recommendations for further development and resources on legal aspects of AI
Fundamentals of Artificial Intelligence and Large Language Models (LLMs)Upon completing the course, you will receive a certification.
Technical Requirements
For a smooth course experience, the following technical requirements must be met:
At least a high school education
Personal Laptop or Tablet
Bring the device you normally use for work, and don’t forget your charger.
Bring the device you normally use for work, and don’t forget your charger.
Access to AI Tools
Make sure to create accounts for tools such as ChatGPT (the OpenAI Playground). It is necessary to have access to at least one AI tool.
Who is this course for?
Want to know how AI can streamline your processes without the need for programming? We’ll teach you how to use it smartly within your company.
Marketing and Sales SpecialistsGain an advantage with AI assistants who can help you with content creation, data analysis, or communication automation.
Administration and Customer SupportSave time thanks to AI that assists with emails, reports, and quick analysis of customer feedback.
HR and Legal ProfessionalsLearn about the ethical and legal aspects of AI and how to implement it safely in a corporate environment.
Anyone Who Wants to Keep Up With the TimesAI is no longer the future — it’s the present. Learn how to use it effectively, without complicated technology and without programming!
Teaching methods
This course combines theoretical foundations with practical demonstrations and discussions to give participants a comprehensive overview of the possibilities of using AI in business practice.
- Interactive lectures with demonstrations (ChatGPT, Bing Chat, OpenAI Playground).
- Practical workshops: Creating prompts, simulating work with data.
- Discussions and case studies.
- Final project and test.
What You Will Gain from the Course
You will understand the principles of AI and LLMs without any need for programming.
The ability to use AI effectivelyYou will learn to craft effective prompts that deliver consistent and useful results.
Safe Integration of AI into Business ProcessesYou will gain an overview of the ethical and legal aspects of AI.
Practical Tips and Concrete ToolsImmediately applicable know-how for your daily work.
A Competitive Edge in the Digital EraYou will understand modern AI trends and gain an advantage in the job market.
Who Will You Learn From?
RNDr. Jakub Haláček
He graduated in theoretical physics from the Faculty of Mathematics and Physics at Charles University. After a brief academic episode, he decided to move into the education sector, where he spent 10 years at multi-year grammar schools as a physics and advanced mathematics teacher. He coached a robotics team, implemented school information systems, contributed to school IT strategies, and also served as the head of the STEM program.
He later changed direction and joined Unicorn Systems as a business analyst and consultant. He currently holds the position of Director of the Unicorn AI Research Center, where he focuses on research in the field of artificial intelligence.
He later changed direction and joined Unicorn Systems as a business analyst and consultant. He currently holds the position of Director of the Unicorn AI Research Center, where he focuses on research in the field of artificial intelligence.
Lucie Malá, LL.M.
She studied International Law and EU Law at the University of Groningen and completed a specialization in Law & Technology at Tilburg University. She works at the law firm Legitas, where she focuses primarily on EU digital regulations and their impact in the fields of artificial intelligence and cybersecurity.
Mgr. Petra Stupková
She founded the law firm Legitas, which specializes in law in the digital environment, and is a co-founder of the Czech Association for Artificial Intelligence. She has more than 15 years of experience supporting companies and individuals in addressing (new) legal challenges. She was named AI Personality of the Year 2025 in the field of law.
Testimonials
"My colleagues and I found the Micro-credential to be very beneficial. We also greatly appreciate the knowledge and expertise of the instructor, who was able to respond effectively to our questions and suggestions. The course is particularly suitable for more advanced users who already have basic experience with AI and want to further develop their skills. We believe that artificial intelligence has enormous potential, which is why we plan to continue developing internal competencies in this area through regular employee training and expert consultations to ensure that the implementation of AI is effective and brings real value."
Radek Šikula
Company Director
HARTMANN-RICO a.s.
Company Director
HARTMANN-RICO a.s.
"What I appreciated most about Legitas’s AI Governance course was its practicality and clarity. The topic of AI regulation is often presented in an overly theoretical way, but here the instructors did a great job of linking the legal framework to real-world situations in companies. So if someone in your company is figuring out how to set up AI in a way that’s both secure and functional, this training makes perfect sense."
Andrea Holečková
General Manager
Marketing Zone
General Manager
Marketing Zone
"The information from the course will serve as a valuable basis for further development in the participating companies of our association. The rich and practical demonstrations of prompting and setting up the user environment of LLM models were excellent. But also, the examples of using Microsoft technologies for process automation or anomaly detection will serve as a basis for participants to apply AI in their daily practice or in the information systems of manufacturing operations in the future."
Pavel Ešner
Manager for Education and Social Affairs
AutoSAP
Manager for Education and Social Affairs
AutoSAP
