{"product_id":"generative-ai-in-production","title":"Generative AI in Production","description":"\u003cdiv\u003e\u003cp\u003eTraditional MLOps is a set of practices to productionize traditional ML systems for enterprise applications. Generative AI raises new challenges in managing and productionizing applications at scale. The field of generative AI operations seeks to address these new challenges. In this course, you learn about the challenges that arise when deploying and productionizing generative AI-powered applications. You learn how to secure your generative AI-powered applications. Finally, you will discuss best practices for logging and monitoring your generative AI-powered applications in production.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eGenerative AI in Production Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThis course will empower you to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the challenges in productionizing applications using generative AI\u003c\/li\u003e\n\u003cli\u003eManage experimentation and evaluation for LLM-powered applications\u003c\/li\u003e\n\u003cli\u003eProductionize LLM-powered applications\u003c\/li\u003e\n\u003cli\u003eSecure generative AI applications\u003c\/li\u003e\n\u003cli\u003eImplement logging and monitoring for LLM-powered applications\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\u003cp\u003eCompletion of the \"Application Development with LLMs on Google Cloud\" or equivalent knowledge\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eWho Should Attend\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDevelopers and DevOps Engineers who wish to operationalize GenAI-based applications\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eGenerative AI in Production Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Introduction to Generative AI in Production\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand generative AI operations\u003c\/li\u003e\n\u003cli\u003eCompare traditional MLOps and GenAIOps\u003c\/li\u003e\n\u003cli\u003eAnalyze the components of an LLM system\u003c\/li\u003e\n\u003cli\u003eDefine and compare RAG and ReAct\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Generative AI Application Deployment\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eEvaluate application deployment options\u003c\/li\u003e\n\u003cli\u003eDeploy, package, and version apps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Productionizing Generative AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMaintain and update LLM models\u003c\/li\u003e\n\u003cli\u003eTest and evaluate gen AI-powered apps\u003c\/li\u003e\n\u003cli\u003eDeploy CI\/CD pipelines for gen AI-powered apps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Logging and Monitoring for Production LLM Systems\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUtilize Cloud Logging\u003c\/li\u003e\n\u003cli\u003eVersion, evaluate, and generalize prompts\u003c\/li\u003e\n\u003cli\u003eMonitor for evaluation-serving skew\u003c\/li\u003e\n\u003cli\u003eUtilize continuous validation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Securing Generative AI Applications\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify security challenges for gen AI applications\u003c\/li\u003e\n\u003cli\u003eUnderstand prompt security issues\u003c\/li\u003e\n\u003cli\u003eApply sensitive data protection and DLP API\u003c\/li\u003e\n\u003cli\u003eImplement Model Armor\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Observability for Production LLM Systems\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe the purpose and capabilities of Google Cloud Observability\u003c\/li\u003e\n\u003cli\u003eExplain the purpose of Cloud Monitoring\u003c\/li\u003e\n\u003cli\u003eExplain the purpose of Cloud Logging\u003c\/li\u003e\n\u003cli\u003eExplain the purpose of Cloud Trace\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268B58US \/ 2026-08-07T09:00:00 \/ Online","offer_id":47534221066459,"sku":"US-1485-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BC69US \/ 2026-11-10T09:00:00 \/ Online","offer_id":48216591204571,"sku":"US-1485-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272B78US \/ 2027-02-04T09:00:00 \/ Online","offer_id":48216591237339,"sku":"US-1485-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275C50US \/ 2027-05-05T09:00:00 \/ Online","offer_id":48741617008859,"sku":"US-1485-IL","price":716.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/learningtreeinternational-dirinfosec-hhs.myshopify.com\/products\/generative-ai-in-production","provider":"Learning Tree International","version":"1.0","type":"link"}