Modern methods of artificial intelligence

Purpose of the training

Presentation of most modern AI methods, environments that enable its use, and demonstration of  selected applications.

Discussed topics are presented starting from the basic level, using many practical examples and various technologies (e.g. GNU R, Python, PyTorch, TensorFlow, Keras). At the end, participants will construct and train a model identical to Chat GPT (only on a smaller scale).

Benefits

Participants of the training will learn:

• What AI approaches are currently on the forefront of business applications (are most effective) in areas such as data analytics, business process automation and automated content generation (generative AI)?
• How do such methods work, how are they created, how are they used, and what value do they bring for business.

Discussion of AI methods and approaches is accompanied by many practical examples.

Scope of training

• A brief intro to AI
• Artificial intelligence, machine learning, statistical data analysis
• Problems and models
  • Classical AI
  • Modern AI
  • Predictive methods in AI
  • Artificial neural networks and their (numerous) variants and extensions
  • AI technologies and tools
  • Deep Learning (deep learning)
  • Analysis of structured numerical data, text data, images and audio
  • Generative AI (text, image, sound)
  • Reinforcement learning and its applications

For whom is the workshop?

Professionals or people working with professionals who want to become familiarized with modern AI methods, models, tools, technologies and their applications. The workshop provides the opportunity to implement the discussed methods (hands-on experience) in selected technologies, based on dedicated case studies.