Курс от CourseraPrototyping and Strategic Evaluation of Generative AI will help you gain the skills needed to assess, design, and prototype modern generative AI systems with both technical rigor and strategic insight. The course focuses on helping you make informed decisions across the full lifecycle of generative AI—from infrastructure and model evaluation to application development and business-oriented proof-of-concepts. You will learn how to evaluate the performance and cost tradeoffs of emerging hardware accelerators, engineer and assess LLM-based systems for structured data extraction, and integrate LLM APIs to build AI-powered features. As the course progresses, you’ll design data processing architectures for multimodal generative AI applications and develop proof-of-concept solutions to validate the practical value of new frameworks and tools. Hands-on labs and applied examples ensure you can translate concepts into working prototypes and strategic recommendations. What makes this course unique is its multi-perspective approach. It benefits from the combined expertise of Arm, IBM, and Coursera, exposing you to diverse tools, platforms, and real-world viewpoints. This blended experience mirrors how generative AI is evaluated and deployed in practice—across teams, technologies, and business contexts.
9 модулей · 88 учебных материалов

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