Applied DeepSeek: Building Intelligent Systems

Apply DeepSeek to real-world scenarios through detailed case studies and learn how to build robust AI-powered applications. Discover best practices for integrating DeepSeek into practical workflows and systems. This course guides learners through hands-on applications of DeepSeek, starting with benchmarking, prompt design, and response evaluation in diverse domains such as financial document extraction. Learners will explore the process of building AI-driven solutions, from technical requirements and context creation to deploying APIs and running models locally. The course also covers the integration of DeepSeek into agent workflows, enabling the development of intelligent agents and orchestrated systems. Learners engage with practical examples and step-by-step explanations, focusing on translating DeepSeek’s capabilities into effective solutions. The course emphasizes actionable insights and real-world integration strategies for developers and AI engineers. This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.