{"product_id":"fundamentals-of-ai-native-software-development","title":"Fundamentals of AI-Native Software Development","description":"\u003cdiv\u003e\n\u003cp\u003eThis course provides a structured, enterprise-focused approach to designing AI-native software systems that are secure, observable, scalable, and ready for production deployment. Attendees learn how modern generative AI applications are architected using foundation models, retrieval-augmented generation (RAG), structured prompt controls, and operational monitoring practices.\u003c\/p\u003e\r\n\u003cp\u003eThe course introduces the AI-Native Production Stack™, a five-layer framework for designing and evaluating AI-powered applications in enterprise environments. The course focuses on architecture, operational readiness, and governance rather than basic AI concepts or live coding.\u003c\/p\u003e\r\n\u003cp\u003eThrough guided walkthroughs, architecture diagrams, and structured activities, attendees learn how to evaluate model vendors, design prompt and context layers, apply guardrails, monitor usage and cost, and assess AI systems for deployment readiness.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eFundamentals of AI-Native Software Development Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eOrganizations struggle to move generative AI projects from prototype to production\u003c\/li\u003e\n\u003cli\u003eMany teams lack architectural guidance for building secure and scalable AI systems\u003c\/li\u003e\n\u003cli\u003eDevelopers and architects are unsure how to control model output, cost, and risk\u003c\/li\u003e\n\u003cli\u003eEnterprises need governance, monitoring, and guardrails for AI deployments\u003c\/li\u003e\n\u003cli\u003eAI initiatives fail due to poor design rather than poor models\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWorking knowledge of software development concepts\u003c\/li\u003e\n\u003cli\u003eFamiliarity with REST APIs or service-based applications\u003c\/li\u003e\n\u003cli\u003eGeneral understanding of generative AI concepts\u003c\/li\u003e\n\u003cli\u003ePrior experience integrating foundation models is not required.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAttendees should have a working knowledge of AI tools (ChatGPT, Copilot, Gemini)\u003c\/li\u003e\n\u003cli\u003eLabs will be based on the licensed version of Copilot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI Native Software Development Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: The AI-Native Production Stack\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Foundation Model Strategy and Vendor Tradeoffs\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Production Prompt Engineering and Control Layer\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Context Layer and Retrieval-Augmented Generation (RAG)\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Operations, Monitoring, and Governance for Production AI\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267C40EN \/ 2026-07-06T09:00:00 \/ 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