Artificial Intelligence

The course offers a comprehensive introduction to artificial intelligence, exploring key concepts such as machine learning, deep learning, pattern recognition, and natural language processing. Through practical examples and models, participants will learn how machines process and analyze large volumes of data to identify behaviors, make predictions, and facilitate interactions with humans. In addition, everyday applications such as automation through robots and the Internet of Things are examined, providing a deep understanding of how AI transforms the way we interact with technology.

Course objectives:

• Ensure that participants gain a comprehensive understanding of key AI concepts, including machine learning, deep learning, and natural language processing.
• Offer content that is accessible to both beginners and those with intermediate knowledge, allowing for progression in learning according to each participant's level.
• Analyze how artificial intelligence is transforming interaction with technology and its impact on different sectors, including automation and the Internet of Things. 
• Encourage participants to question and explore beyond the basics, promoting a deep and critical understanding of the evolution and future of AI.
  
  Total course duration: 1 hour
  
  Contents:
  1. The history of AI
  2. Intelligent systems
  3. Machine learning
  4. Where the data is
  5. Deep learning
  6. Data analysis patterns
  7. Deep learning
  8. Robots and the Internet of Things
  9. Natural language processing
  10. Supervised and unsupervised learning
  11. Algorithms