• The role of data in the age of AI: how curating and processing large volumes of data enables the operation of advanced algorithms.
  
• Fundamentals of Artificial Intelligence: supervised learning, neural networks, machine learning and its practical applications.
  
• AI in government and fighting corruption: how technology can increase transparency and detect fraud.
  
• Mental health and AI: innovations in the use of AI to support the treatment of mental disorders, with an emphasis on ethical and privacy issues.
  

• In-depth understanding of the role of data in AI and how it underpins intelligent systems.
  
• Working knowledge about the essential concepts of AI and its applications in industries such as finance and automotive.
  
• Tools to understand how AI can be used ethically and efficiently in governments, increasing transparency and combating fraud.
  
• Insights into how AI is being applied in mental health, helping to predict and treat emotional crises, with a focus on privacy and human oversight.
  

• Technology professionals: Software engineers, data scientists, and AI developers who seek to expand their knowledge and apply practical solutions in their daily lives.
  
• Managers and business leaders: interested in optimizing processes and increasing organizational efficiency through the implementation of AI.
  
• Students and academics: who need a solid foundation rich in practical examples to apply in their research and projects.
  
• Politicians and government leaders: who want to understand how AI can promote transparency, efficiency, and fight corruption in the public sector.
  
• Health professionals: who want to know the new AI technologies applied to mental health treatment.
  

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