Closely combining with the innovative practice courses of institutions of higher education, this book explains the development path of AI Agent applications in a simple and in-depth way, covering cutting-edge directions such as intelligent retrieval, video optimization and auxiliary decision-making, and keeps up with the technological trend. The book features 20 carefully selected and diverse cases, ranging from system architecture design to functional testing, with in-depth analysis at every level. It is suitable for beginners to get started and also provides inspiration and references for experienced developers.

The book is accompanied by detailed implementation steps, code explanations, and optimization ideas, helping readers gain a thorough understanding of the core principles and application scenarios of AI Agent technology. In addition, supplementary resources such as video tutorials and project files are provided. Whether university students, researchers, or professional technicians engaged in AI development, readers will all benefit from this book. It is not only a technical work but also a key to unlocking AI Agent technology, supporting readers in exploring innovation and achieving breakthroughs in the AI field.

LI Yonghua is a Professor and Supervisor of Doctoral Candidates at the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications; he has more than 15 years of experience in embedded development and is currently committed to research on the Internet of things, cloud computing, and big data.