端到端VLA的入门进阶和求职，我们配备了完整的学习路线图！

Core Viewpoint - The article emphasizes the growing demand for technical talent in the autonomous driving sector, particularly in end-to-end and VLA (Vision-Language-Action) technologies, with companies willing to invest significantly in experienced professionals, starting salaries reaching millions annually [2]. Course Offerings - The article outlines several specialized courses aimed at enhancing skills in autonomous driving, including "End-to-End Practical Class for Mass Production," "End-to-End and VLA Autonomous Driving Class," and "VLA and Large Model Practical Course," catering to various levels from beginners to advanced professionals [4][7][12]. End-to-End Mass Production Course - This course focuses on the practical implementation of end-to-end autonomous driving, covering key modules such as navigation information application, reinforcement learning optimization, diffusion and autoregressive production experience, and spatiotemporal joint planning [4]. End-to-End and VLA Autonomous Driving Course - This course addresses macro aspects of end-to-end autonomous driving, detailing key algorithms and theoretical foundations, including BEV perception, large language models, diffusion models, and reinforcement learning [7]. VLA and Large Model Practical Course - This course requires participants to have a GPU with recommended computing power of 4090 or higher, a foundational understanding of autonomous driving, and familiarity with concepts like transformer models and reinforcement learning [11]. Instructor Profiles - The courses are led by industry experts with strong academic backgrounds, including those with multiple published papers in top conferences and extensive experience in algorithm development and mass production in autonomous driving [6][9][14][15].