BCS Artificial Intelligence Essentials
Artificial intelligence is reshaping how organizations make decisions and design processes. Understanding the underlying concepts enables professionals to assess AI developments, evaluate their impact, and apply them meaningfully in a business context.
Key topics
- Historical development and core concepts of artificial intelligence.
- How machine learning and neural networks work.
- The role of data quality and data management in AI projects.
- Real-world application scenarios from the corporate environment.
- Ethics, transparency, and societal responsibility in AI deployment.
Prerequisite
Experience in IT or business processes is beneficial but not required.
Target group
This course addresses professionals and managers from management, IT, consulting, and strategic roles who want to build AI competence.
Understanding AI fundamentals enables professionals to navigate technological change and leverage digital opportunities for their organization.
- Core terms and definitions
- Key milestones in AI development
- Categories and types of AI
- Importance of ethical principles in AI
- Key ethical challenges
- Guidelines for responsible AI
- Typical practical examples of AI
- AI and robotics at a glance
- Introduction to machine learning
- Fundamental ML concepts
- Essential data terms in the AI context
- Factors affecting data quality
- Challenges in data management
- Visualizing data
- Core concepts of generative AI
- Data in the machine learning process
- Potentials and application areas
- Project management for AI initiatives
- Fundamentals of AI governance
- Professional roles and career paths
- Practical AI applications in business
- Societal impacts of AI
- Trends and perspectives in AI development
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
- The EXIN BCS AI Essentials course delivers practical foundational knowledge of AI. It covers core concepts, typical application areas, and the ethical and societal dimensions of AI – for professionals who want to actively contribute to AI initiatives.
- The certification is designed for professionals without a technical background. It is particularly suited to project managers, analysts, and decision-makers who want to evaluate AI applications and integrate them into business processes.
- The course covers AI fundamentals, typical use cases, data quality requirements, and machine learning principles. It also addresses ethical questions and the potential of AI technologies for organizations.
- No programming skills are required. The course focuses on conceptual understanding and practical evaluation of AI – without any connection to technical development or coding.
- The certificate validates proven AI foundational knowledge and strengthens professional positioning in digital transformation. It facilitates collaboration with technical teams and provides a stronger basis for strategic technology decisions.
- The exam covers AI fundamentals, machine learning principles, data requirements, and ethical aspects. It also assesses understanding of typical AI use cases in business environments.
- AI increasingly shapes how organizations work and make decisions. Foundational knowledge enables realistic assessment of potential, early recognition of risks, and targeted deployment of AI solutions.
- The BCS AI Essentials certificate is internationally recognized and based on a globally valid curriculum. It is widely used in business and IT management contexts and is established across various industries.