Training
Fundamentals and Applications of Artificial Intelligence
Language
English
Instructor
Mirjana Pejic Bach
The course provides a comprehensive overview of the principles underlying artificial intelligence, introducing concepts such as machine learning, deep learning, and neural networks. Through a progressive learning path, participants explore the evolution of AI and its primary applications in manufacturing, healthcare, financial, and security contexts, gaining an understanding of how these technologies are transforming processes, decisions, and organizational models. The goal is to build a concrete understanding of AI technologies, their operational potential, and their impact in real-world contexts.
Participants will deepen their understanding of how the main machine learning models work and analyze the growing role of artificial intelligence in productive, decision-making, and operational processes, developing greater awareness of the opportunities and responsibilities associated with the adoption of intelligent systems.
The training program covers:
- Machine learning, deep learning, and neural networks
- Historical evolution and theoretical principles of artificial intelligence
- AI applications in the manufacturing, healthcare, financial, and security sectors
- Automation, decision support, and process optimization
- Algorithmic bias, transparency, and responsible use of AI systems
- Data privacy and ethical implications of artificial intelligence
- Opportunities and risks of emerging AI technologies
- Critical analysis of the impact of AI on organizations and society
- Hands-on exercises and real-world case studies
- Introduction to the development and application of AI models
Training
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