Google Generative AI in Production
- Kursuskode GO8338
- Varighed 1 Dag
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Åbent kursus (Virtuelt)
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Beskrivelse
ToppenTraditional 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.
Products:
- Vertex AI
Updated August 2026
Virtuel deltagelse
Et V&C Select kursus indholder nøjagtig det samme som et almindeligt kursus. Før kursusstart modtager man kursusmaterialet. Dernæst logger man på kurset via internettet og ser via sin pc den selvsamme præsentation som de øvrige deltagere, man kommunikerer via chat med underviseren og de øvrige deltagere på kurset. Denne uddannelsesmodel er både tids-og omkostningsbesparende og kan være et oplagt alternativ til almindelig klasseundervisning, hvis man f.eks. har et begrænset rejsebudget.
Kursusdato
ToppenMålgruppe
ToppenDevelopers, DevOps engineers and machine learning engineers who wish to operationalize GenAI-based applications
Kursets formål
ToppenAfter this course participants should be able to:
- Understand generative AI operations
- Compare traditional MLOps and GenAIOps
- Analyze the components of an LLM system
- Define and compare RAG and ReAct
- Evaluate application deployment options
- Deploy, package, and version apps
- Maintain and update LLM models
- Test and evaluate gen AI-powered apps
- Deploy CI/CD pipelines for gen AI-powered apps
- Identify security challenges for gen AI applications
- Understand prompt security issues
- Apply sensitive data protection and DLP API
- Implement Model Armor
Kursusindhold
ToppenModule 01: Introduction to Generative AI in Production
- Generative AI operations
- Traditional MLOps vs. GenAIOps
- Components of an LLM system
- RAG/ReAct architecture
Module 02: Generative AI Application Deployment
- Application deployment options
- Deployment, packaging, and versioning
- Lab: Deploying an Agentic Application on Cloud Run
Module 03: Productionizing Generative AI
- Maintenance and updates
- Testing and evaluation
- CI/CD pipelines for gen AI-powered apps
- Lab: Tracking Versions of Generative AI Applications
Module 04: Securing Generative AI Applications
- Security challenges
- Prompt security
- Sensitive Data Protection and DLP API
- Model Armor
- Lab: Securing Generative AI-Powered Applications
Forudsætninger
ToppenCompletion of the "Application Development with LLMs on Google Cloud" or equivalent knowledge.
Certificeringstest
ToppenNone
Efterfølgende kurser
ToppenNone
