2h
27 lekcija
This course explores exciting and rapidly evolving fields of Artificial Intelligence (AI) and its subsets, including Machine Learning, Neural Networks, and Deep Learning. It is designed for learners with a keen interest in understanding the foundational concepts and advanced technologies shaping the future, the course is structured to unfold in a progressive manner, catering to both beginners and those looking to deepen their knowledge.
2h
27 lekcija
2h
Lekcija: 27
01
Understanding the concepts of supervised and unsupervised learning, along with model evaluation techniques, prepares learners to handle real-world data and develop AI models that can predict outcomes or uncover patterns in data without explicit programming.
02
Participants will explore the architecture of neural networks and deep learning, understanding how these technologies power some of the most advanced AI applications today. This knowledge is key for those interested in fields such as computer vision, natural language processing, and more.
03
Participants will gain a solid understanding of artificial intelligence, including its definition, history, and the distinction between weak and strong AI systems. This foundational knowledge is essential for anyone looking to delve into the field of AI or apply AI concepts in various professional domains.