WEBVTT

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Integrating generative AI into cloud-native applications

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Planning the enterprise AI journey and architecture

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Running generative AI models in local environments

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Building local containerized models with Podman AI Lab

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Prototyping a local Python chatbot with LangChain

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Integrating local AI models into Java Quarkus applications

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Expanding AI capabilities using retrieval-augmented generation

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Transitioning AI workflows into structured production environments

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Processing enterprise documentation into robust vector databases

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Modifying chatbot code to support vector database retrieval

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Deploying the augmented chatbot on OpenShift AI platforms

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Exploring open source AI resources and learning paths