Spot real AI risks - You will learn to separate useful AI use cases from high-risk ones, so you can assess how AI tools affect processes, decisions, and security in your organization with greater confidence.
Reduce errors and misuse - You will learn how to identify model hallucinations, unreliable outputs, risky automation, and shadow AI, so you do not base business actions on content that has not been checked.
Protect data more effectively - You will gain practical rules for working with confidential, personal, and sensitive data, helping you avoid exposing information in prompts, files, and cloud-based AI tools.
Use AI in line with GDPR - You will understand the main responsibilities linked to AI and personal data processing, who is accountable for generated output, and how to reduce the risk of breaches and penalties.
Prompt more safely - You will practice writing prompts in ways that lower the risk of data leakage, improve response quality, and make it easier to judge whether AI output is safe to use in your work.
Understand cyber threats - You will learn how attacks such as prompt injection and data poisoning work, and how criminals use AI, so you can better recognize manipulation attempts and security abuse.
Set clear internal rules - You will see what a practical AI policy should include, making it easier for you to support clear rules for employees, managers, and teams using AI across the organization.
Leave with practical guidance - You will finish the course with checklists, incident examples, and proven practices for HR, marketing, IT, and finance that you can apply immediately in everyday AI use.
Basic digital skills - You should be comfortable using a computer, a web browser, and standard office tools, so you can focus on safe AI use rather than on learning basic software handling.
Understanding of data handling - You should understand what confidential, personal, and business data mean in daily work, so you can better judge which information must not be entered into AI tools.
Business process awareness - You should know the basic processes in your team or organization, so you can relate the discussed AI risks, policies, and examples to your real day-to-day responsibilities.
Readiness to assess risk - You should be prepared to question AI outputs and usage choices critically, because the course involves reviewing errors, model limits, and the impact of AI-driven decisions.
