AI Act and AI Literacy
The AI Act is a key regulatory framework created to ensure AI is developed and used responsibly. It came into force in the EU on 2 August 2024, with AI literacy requirements starting on 2 February 2025. From then, organizations that provide or deploy AI systems must ensure their staff, and anyone involved in AI operations on their behalf, have sufficient AI literacy.
AI literacy is crucial not only for complying with the AI Act but also for enabling individuals to harness AI’s potential responsibly. It helps mitigate risks while aligning with organizational goals and regulatory standards. Diverse stakeholders must undergo AI literacy training and our programs are customized to their technical knowledge, experience, education, and the context in which they use AI systems.
Our approach
Our trainings are developed to cater to a diverse stakeholder audience of different levels of technical expertise and are designed to help participants:
Understand the legal requirements on your organisation and how to comply with them in practice,
Understand the opportunities and risks of AI systems and how to create and use AI safely in a way that protects fundamental rights, health and safety,
Make informed decisions about AI systems in the specific context of your organisation.
We are also able to offer tailored AI literacy upskilling solutions upon request. A tailored approach is recommended for organisations that provide or deploy high-risk AI systems or general-purpose AI systems under the AI Act.
What benefits will AI compliance and a responsible approach to AI bring you?
New business opportunities
Faster and smarter innovations
Future-proofing of your organisation
Spotting risks and being accountable
What is the AI Act and what does it mean for your organisation?
AI Act and AI literacy courses
- Overview of the AI Act and its requirements
- AI literacy for users of AI systems
- AI literacy for leaders and decision-makers
Overview of the AI Act and its requirements
Open course
Who is this course suitable for:
This course is for anyone who would like to know more about the AI Act and its requirements in greater detail. It is especially beneficial to internal compliance, risk management, and audit teams.
What will you learn:
Introduction to AI, ways of operation and use cases,
Introduction to the AI Act - key requirements are and timelines of obligations,
How to assess what the AI Act means for you and your organisation,
In-depth requirements of the AI Act,
How to set up AI governance and compliance - key processes and roles and responsibilities.
Methodology:
This face-to-face training lasts 2 full days and combines presentations, independent and collaborative tasks and exercises.
Certificate:
After completion of this training you will receive a PwC certificate.
AI literacy for users of AI systems
Open course
Who is this training for:
This training is for all employees who are exposed to AI as part of their work and who are in the position to operate or use AI systems. This training is intended to provide key fundamentals of AI and AI Act knowledge to a very broad audience.
What will you learn:
- Introduction to AI, ways of operation and use cases,
Risks and limitations of AI and how they affect using AI - Can you trust AI outputs? What can you use AI for? Risks illustrated in selected contexts,
What does the AI Act mean for you when using AI? What impact can you using AI have on the obligations of your organisation?
Best practices on how to use AI safely - guidance on selecting uses, interacting with AI systems, using AI outputs and leveraging organisational processes.
Methodology:
This online training lasts 2 hours.
Certificate:
After completion of this training you will receive a PwC certificate.
AI literacy for leaders and decision-makers
In-company
Who is this training for:
This course is intended to provide senior leadership and senior management in an organisation with key insights about AI and the AI Act. It focuses on highlighting strategic considerations to empower leaders to better make decisions about AI.
What will you learn in the leadership fast track training:
Demystifying AI - what is AI and how does it work?
The business value of AI - how to align AI and your business goals,
- The role of leadership in enterprise adoption of AI,
- The role of AI governance, risk and compliance - what the AI Act is and setting up AI compliance.
What will you learn in the leadership pathway training:
- All content in the leadership fast track training,
Overview of AI technologies and how to select technologies for your organisation,
GenAI hands-on exercises.
Methodology:
This training has two forms. The Leadership fast track takes 2.5 hours and the Leadership pathway takes 4 hours. Trainings take in person at client premises. Trainings on PwC premises can also be organised.
Certificate:
After completion of this training you will receive a PwC certificate.
Dates and details
| Date | Course | CPD points | Language | Place | Price (excl. VAT) | Registration |
| 22 January 2025 9 a.m. – 11 a.m. |
AI literacy for users of AI systems | 2 | CZE | Online | 2,500 CZK | Register |
| 4–5 February 2025 9 a.m. – 5 p.m. |
Overview of the AI Act and its requirements | 14 | CZE | PwC | 25,000 CZK | Register |
Tutors
Christina Hitrova
Christina leads the service offering around law and regulation of digital technologies and Responsible AI at PwC Czech Republic Trust over AI team. She brings 8+ years of experience in law, policy and technology. She has worked with policy-making and also guides organisations through complex regulatory and policy landscapes and best data practices to design and deliver high quality data-driven solutions. Christina's experience covers responsible and ethical innovation, data protection, and human rights law with experience working across the public and private sectors and a number of technologies, including AI, civil drones, and blockchain.
Daniela Kidjemet Šolc
Daniela is the AI governance, risk and compliance lead within PwC Czech Republic Trust over AI team, as well as leading the development of AI tools. With 9+ years of experience, she is helping clients to establish their AI governance structure, understand risks of using and not using AI, as well as managing those risks, by focusing on mitigation measures and controls, ensuring compliance with relevant AI regulation. In her 9+ years with PwC, Daniela worked in PwC Croatia, PwC Czech Republic and PwC Canada.
Aneta Fortelková
Aneta is a Responsible AI senior consultant within the PwC Czech Republic Trust over AI team. She focuses on AI governance, policies, ethics and AI regulation compliance with previous experience from consulting within the Advisory department of Deloitte in areas of economy, strategy and innovation for both the private and public sector, as well as experience with evaluations. Outside of consulting, Aneta has professional experience from various business areas from FMCG, music, pharmaceutical and tech industries, as well as NGOs.
Nadežda Jakúbková
Nadežda is a senior consultant with PwC Czech Republic's Trust over AI team, where she focuses on governance, risk, and compliance (GRC). She has over 3+ years of experience in research on AI language systems and the market for AI-driven language technologies, collaborating with entities such as the European Commission. Nadežda has conducted workshops on the use of generative AI for clients from banking and language services industries and has advised energy and insurance companies on adoption strategies. She has also applied her auditing and Web3 expertise to conduct technology and process audits for a blockchain data analytics company and within the language services industry. Additionally, she serves as the Risk Lead for PwC's Generative AI Assistant project.
Michelle McIntosh
Michelle is an AI governance and AI strategy senior consultant within the PwC Czech Republic Trust over AI team. She has 7+ years of experience in AI, machine learning, and education technology through roles as a Principal Data Science Analyst training machine learning models for voice of customer insights at an AI start-up and as an AI Tech Consultant in Education. Within Education, Michelle pioneered a campaign for school-wide adoption of AI tools, and collaborated with educators and students to integrate generative AI into teaching practices, trained teachers and students in responsible and ethical use, and developed AI literacy strategies while continuously assessing the effectiveness of AI tools.
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Christina Hitrova
Christina leads the service offering around law and regulation of digital technologies and Responsible AI at PwC Czech Republic Trust over AI team. She brings 8+ years of experience in law, policy and technology. She has worked with policy-making and also guides organisations through complex regulatory and policy landscapes and best data practices to design and deliver high quality data-driven solutions. Christina's experience covers responsible and ethical innovation, data protection, and human rights law with experience working across the public and private sectors and a number of technologies, including AI, civil drones, and blockchain.
Daniela Kidjemet Šolc
Daniela is the AI governance, risk and compliance lead within PwC Czech Republic Trust over AI team, as well as leading the development of AI tools. With 9+ years of experience, she is helping clients to establish their AI governance structure, understand risks of using and not using AI, as well as managing those risks, by focusing on mitigation measures and controls, ensuring compliance with relevant AI regulation. In her 9+ years with PwC, Daniela worked in PwC Croatia, PwC Czech Republic and PwC Canada.
Aneta Fortelková
Aneta is a Responsible AI senior consultant within the PwC Czech Republic Trust over AI team. She focuses on AI governance, policies, ethics and AI regulation compliance with previous experience from consulting within the Advisory department of Deloitte in areas of economy, strategy and innovation for both the private and public sector, as well as experience with evaluations. Outside of consulting, Aneta has professional experience from various business areas from FMCG, music, pharmaceutical and tech industries, as well as NGOs.
Nadežda Jakúbková
Nadežda is a senior consultant with PwC Czech Republic's Trust over AI team, where she focuses on governance, risk, and compliance (GRC). She has over 3+ years of experience in research on AI language systems and the market for AI-driven language technologies, collaborating with entities such as the European Commission. Nadežda has conducted workshops on the use of generative AI for clients from banking and language services industries and has advised energy and insurance companies on adoption strategies. She has also applied her auditing and Web3 expertise to conduct technology and process audits for a blockchain data analytics company and within the language services industry. Additionally, she serves as the Risk Lead for PwC's Generative AI Assistant project.
Michelle McIntosh
Michelle is an AI governance and AI strategy senior consultant within the PwC Czech Republic Trust over AI team. She has 7+ years of experience in AI, machine learning, and education technology through roles as a Principal Data Science Analyst training machine learning models for voice of customer insights at an AI start-up and as an AI Tech Consultant in Education. Within Education, Michelle pioneered a campaign for school-wide adoption of AI tools, and collaborated with educators and students to integrate generative AI into teaching practices, trained teachers and students in responsible and ethical use, and developed AI literacy strategies while continuously assessing the effectiveness of AI tools.
