How deeply does Grokking AI Applications cover deployment?

Explains always-on hosting, access points, interoperability, and deployment choices without descending into changing cloud-platform details.

Deployment

As explained in Grokking AI Applications

Deployment is the process of making an AI application available to users or operational systems.

Deployment makes an AI application available beyond the developer’s computer. Instead of running only during an experiment, the application is placed in an always-on environment so colleagues, customers, website visitors, or other systems can access it through a website or API. section 8.0

A deployment workflow usually involves these practical choices:

Choose an environment: self-host a publicly available server, run a virtual machine, or use managed hosting compatible with the application. section 8.5
Configure the deployed application and its access point, such as a URL, API, or website integration. section 8.0
Plan for interoperability when flows, agents, tools, or other applications need to collaborate through protocols and servers. section 8.0

A flow on a website

A Langflow flow can run in a deployed, always-on environment and appear on a personal website through an embedded chat widget. Users interact with the flow directly by adding a small HTML snippet to the page. section 8.5

How Grokking AI Applications covers it

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Also explained in

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Shipping Go: Develop, deliver, discuss, design, and go againSoftware deployment is the process of making a product available for use on a server or other execution environment.
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Build AI-Enhanced Web AppsDeployment is the process of making an application or service available to run in an operational environment.
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Lead Developer Career GuideDeployment is the process of installing and releasing software into an environment where it can run.
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Machine Learning for Tabular Data: XGBoost, Deep Learning, and AIA production deployment is the operational release of a software system or machine-learning solution for live application use.
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Road to KubernetesDeployment is the process of releasing software so that it can run in a target environment.
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Building Web APIs with ASP.NET CoreDeployment is the process of installing and configuring software in an environment where it can run and be accessed.
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Build Python Web Apps with StreamlitDeployment is the process of making an application available to its intended users by hosting and configuring it.
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Kafka for ArchitectsDeployment is the process of installing and making software available to run in a target environment.
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Deep Learning with PyTorch, Second EditionThe process of putting a trained model into a real runtime environment where it serves users or applications.
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Data Without LabelsModel deployment is the process of making a trained machine-learning model available to process inputs and produce predictions in an operational environment.
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Microsoft Azure in ActionDeployment is the process of making a trained model or application available for operational use.
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Deep Learning with R, Third EditionDeployment is the process of making a trained machine-learning model available in an operational environment for use.
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ASP.NET Core in Action, 3eDeployment is the process of installing and configuring an application and its required artifacts in an environment where users can access it.
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Terraform in Depth: Infrastructure as Code with Terraform and OpenTofuA deployment is a distinct instance of infrastructure managed from a Terraform configuration and associated state.
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Machine Learning System DesignDeployment is the process of making a software system or model available to operate in a target production environment.
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Contract Testing in ActionA deployment is the act or resulting state of installing a particular software version into a runtime environment.
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Think Like a Software Engineering ManagerA software deployment is the process of releasing a software change into an environment where it can run, especially production.
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Generative AI in ActionA model deployment is a configured, addressable instance of a machine-learning model made available for serving requests.
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gRPC Microservices in GoDeployment is the process of releasing software artifacts into an environment where they can run.
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Modern AngularDeployment is the process of releasing software to an environment where it can be executed or accessed by users.
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Building Reliable AI SystemsThe release of software or a software change into an environment where it can operate.

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Related concepts

releasecontrasts with · A software release is a version or set of changes made available to intended recipients for deployment or use.
cloud provideruses · A cloud provider is an organization that delivers computing resources, platforms, or managed services over a network, typically on demand.
language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
deployment pipelineuses · A sequence of automated or manual stages that builds, tests or validates, packages, and delivers software or models toward deployment.
canary deploymentincludes · A canary deployment is a release strategy that exposes a change to a limited portion of users, traffic, or infrastructure before expanding it more broadly.
hostinguses · Hosting is the provision of computing infrastructure and services for running applications or websites and making them accessible over a network.

This explainer was generated by Manning's knowledge graph from the text of Grokking AI Applications. The section links point to the parts of the book it draws on.