Learn the fundamentals of Vision Transformers (ViTs) through a comprehensive 72-minute video tutorial that breaks down complex concepts into digestible explanations. Master the essential components of ViTs, starting with Linear Projection and its role in image patch transformation. Explore the intricacies of Multihead Attention Layer, including detailed explanations of query, key, and value mechanisms that enable the model to identify and focus on crucial information. Gain a thorough understanding of core Vision Transformer concepts, from patch embedding to self-attention mechanisms, presented in a beginner-friendly format that builds a strong foundation for further learning in computer vision and transformer architectures.