AI Engineer训练营免费公开课 | 澳洲IT | 澳洲求职 | 澳洲AI

The open class gave a detailed introduction to the AI ​​Engineer course, including the definition of AI Engineer, the development trend of the AI ​​industry, core technical elements, and how to apply these technologies in actual enterprise environments. The document also mentioned that the development of the AI ​​industry is divided into four major areas: hardware, cloud services, AI models, and application scenarios, among which the main work of AI Engineers is focused on the development and implementation of application scenarios. The document emphasizes that AI Engineers need to master four elements: data, algorithms, computing power, and landing scenarios. The responsibilities of AI Engineers are not limited to developing AI models, but also involve how to design and deploy AI solutions to meet the actual needs of enterprises, especially in AI integration and optimization in application scenarios. In addition, the document also introduces other related positions in the AI ​​industry, such as machine learning engineers, data scientists, etc., and analyzes the employment prospects in the future AI field. It is believed that the demand for AI Engineers will gradually increase with the popularization of AI technology, especially in application development. The document also details the course schedule of an AI Engineer training camp, including key technical modules such as RAG (Retrieval-Augmented Generation) system, Long-chain deployment, Agent development, etc., with the aim of helping students improve their application capabilities in the field of AI, especially in practical skills in cloud deployment and the use of automation tools. Summary: The video comprehensively introduces the role, technical elements and course arrangements of AI Engineer, emphasizes the importance of AI application development, and analyzes future industry development trends and employment opportunities. 公开课讲解了关于AI Engineer课程的详细介绍，主要内容包括AI Engineer的定义、AI行业的发展趋势、核心技术要素，以及如何在实际企业环境中应用这些技术。文件还提到AI行业的发展分为硬件、云服务、AI模型和应用场景四个主要领域，其中AI Engineer的主要工作集中在应用场景的开发和实施上。 文件强调AI Engineer需要掌握数据、算法、算力和落地场景等四个要素。AI Engineer的职责不仅限于开发AI模型，还涉及如何设计和部署AI解决方案，以应对企业的实际需求，特别是在应用场景中进行AI集成和优化。此外，文件也介绍了AI行业中的其他相关岗位，如机器学习工程师、数据科学家等，并对未来AI领域的就业前景做了分析，认为AI Engineer的需求会随着AI技术的普及而逐渐增加，特别是在应用开发方面。 文件还详细介绍了一个AI Engineer训练营的课程安排，包括RAG（Retrieval-Augmented Generation）系统、Long-chain部署、Agent开发等关键技术模块，目的是帮助学员提升在AI领域的应用能力，尤其是在云端部署、自动化工具使用等方面的实战技能。 总结：视频全面介绍了AI Engineer的角色、技术要素及课程安排，强调AI应用开发的重要性，并分析了未来的行业发展趋势和就业机会。