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The article highlights the release of two comprehensive coursesLLM Systems Foundations and AI Engineeringthat together equip learners with the essential decision frameworks, technical knowledge, and practical skills needed to develop and deploy reliable, scalable, and governable large language model (LLM) systems. LLM Systems Foundations focuses on understanding the core principles, system design, and failure modes of production LLMs, enabling practitioners to make informed decisions on retrieval, evaluation, and workflow orchestration before coding, while AI Engineering guides the transition from design to deployment, emphasizing the importance of building stable, cost-effective, and compliant systems.
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