AI stands for Artificial Intelligence. It refers to the simulation of human intelligence in machines programmed to think and act like humans. In other words, AI enables machines to learn from data, identify patterns, and make decisions based on that data, just like humans do.

Several fields in AI focus on different aspects of artificial intelligence. Some main areas in AI are Machine Learning, Natural Language Processing, Computer Vision, Neural networks, and more.

This Seminar focuses on the basic materials of data science using lectures and code, with an overview of the wide usages of the field.

Developers

Basic Python knowledge is required.

• AI introduction
• Machine Learning
  • Supervised models
  • Unsupervised models
• Natural Language Processing
  • Chatbots
  • Machine translation
  • Speech recognition
• Computer Vision
  • Interpret and understand visual Data
  • Models and tools
• Cognitive Computing
  • Simulate human thought processes
  • Decision-making
  • Personalized marketing
• Neural Networks
  • Deep Learning Overview
  • Image and speech recognition
  • NLP
• Generative AI and pre-trained models
  • LLMs
  • Prompting
  • Tuning
  • Business Impact