From 86155ae81ed1a7e85da1eff3d5accd4bab95c68d Mon Sep 17 00:00:00 2001 From: Jayesh Sharma Date: Mon, 28 Oct 2024 18:27:12 +0530 Subject: [PATCH] fix icons and remove redundant file (#3150) --- .../user-guide/production-guide/README.md | 3 ++- .../production-guide/production-guide.md | 26 ------------------ docs/book/user-guide/starter-guide/README.md | 3 ++- .../user-guide/starter-guide/starter-guide.md | 27 ------------------- 4 files changed, 4 insertions(+), 55 deletions(-) delete mode 100644 docs/book/user-guide/production-guide/production-guide.md delete mode 100644 docs/book/user-guide/starter-guide/starter-guide.md diff --git a/docs/book/user-guide/production-guide/README.md b/docs/book/user-guide/production-guide/README.md index f287d9a6c50..2f751cbbe3b 100644 --- a/docs/book/user-guide/production-guide/README.md +++ b/docs/book/user-guide/production-guide/README.md @@ -1,8 +1,9 @@ --- +icon: tree description: Level up your skills in a production setting. --- -# 🐔 Production guide +# Production guide The ZenML production guide builds upon the [Starter guide](../starter-guide/README.md) and is the next step in the MLOps Engineer journey with ZenML. If you're an ML practitioner hoping to implement a proof of concept within your workplace to showcase the importance of MLOps, this is the place for you. diff --git a/docs/book/user-guide/production-guide/production-guide.md b/docs/book/user-guide/production-guide/production-guide.md deleted file mode 100644 index 6968143d3a4..00000000000 --- a/docs/book/user-guide/production-guide/production-guide.md +++ /dev/null @@ -1,26 +0,0 @@ ---- -icon: tree -description: Level up your skills in a production setting. ---- - -# Production guide - -The ZenML production guide builds upon the [Starter guide](../starter-guide/README.md) and is the next step in the MLOps Engineer journey with ZenML. If you're an ML practitioner hoping to implement a proof of concept within your workplace to showcase the importance of MLOps, this is the place for you. - -

ZenML simplifies development of MLOps pipelines that can span multiple production stacks.

- -This guide will focus on shifting gears from running pipelines _locally_ on your machine, to running them in _production_ in the cloud. We'll cover: - -* [Deploying ZenML](deploying-zenml.md) -* [Understanding stacks](understand-stacks.md) -* [Connecting remote storage](remote-storage.md) -* [Orchestrating on the cloud](cloud-orchestration.md) -* [Easy stack registration](easy-stack-registration.md) -* [Configuring the pipeline to scale compute](configure-pipeline.md) -* [Configure a code repository](connect-code-repository.md) - -Like in the starter guide, make sure you have a Python environment ready and `virtualenv` installed to follow along with ease. As now we are dealing with cloud infrastructure, you'll also want to select one of the major cloud providers (AWS, GCP, Azure), and make sure the respective CLIs are installed and authorized. - -By the end, you will have completed an [end-to-end](end-to-end.md) MLOps project that you can use as inspiration for your own work. Let's get right into it! - -
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diff --git a/docs/book/user-guide/starter-guide/README.md b/docs/book/user-guide/starter-guide/README.md index 6d76545671e..5baac6431ee 100644 --- a/docs/book/user-guide/starter-guide/README.md +++ b/docs/book/user-guide/starter-guide/README.md @@ -1,8 +1,9 @@ --- +icon: seedling description: Kickstart your journey into MLOps with the essentials of ZenML. --- -# 🐣 Starter guide +# Starter guide Welcome to the ZenML Starter Guide! If you're an MLOps engineer aiming to build robust ML platforms, or a data scientist interested in leveraging the power of MLOps, this is the perfect place to begin. Our guide is designed to provide you with the foundational knowledge of the ZenML framework and equip you with the initial tools to manage the complexity of machine learning operations. diff --git a/docs/book/user-guide/starter-guide/starter-guide.md b/docs/book/user-guide/starter-guide/starter-guide.md deleted file mode 100644 index 3b192eac1ee..00000000000 --- a/docs/book/user-guide/starter-guide/starter-guide.md +++ /dev/null @@ -1,27 +0,0 @@ ---- -description: Kickstart your journey into MLOps with the essentials of ZenML. -icon: seedling ---- - -# Starter guide - -Welcome to the ZenML Starter Guide! If you're an MLOps engineer aiming to build robust ML platforms, or a data scientist interested in leveraging the power of MLOps, this is the perfect place to begin. Our guide is designed to provide you with the foundational knowledge of the ZenML framework and equip you with the initial tools to manage the complexity of machine learning operations. - -

Embarking on MLOps can be intricate. ZenML simplifies the journey.

- -Throughout this guide, we'll cover essential topics including: - -- [Creating your first ML pipeline](create-an-ml-pipeline.md) -- [Understanding caching between pipeline steps](cache-previous-executions.md) -- [Fetching objects after pipelines have run](fetching-pipelines.md) -- [Managing data and data versioning](manage-artifacts.md) -- [Tracking your machine learning models](track-ml-models.md) -- [Structuring your pipelines, models, and artifacts](structuring-a-project.md) - -Before jumping in, make sure you have a Python environment ready and `virtualenv` installed to follow along with ease. -By the end, you will have completed a [starter project](starter-project.md), marking the beginning of your journey into MLOps with ZenML. - -Let this guide be not only your introduction to ZenML but also a foundational asset in your MLOps toolkit. Prepare your development environment, and let's get started! - - -
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