Hopsworks Academy

Learn everything about ML Systems, Feature stores and the Hopsworks platform.

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Academy
4 min

What is a Feature Store for Machine Learning?

Lex explains what is a feature store in a nutshell; what does it do, why is it important, and how it helps organisations build more models faster.
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Tutorial
12 min

Batch & Real-Time ML Systems: A better framework with Hopsworks

Jim explores the machine learning pipeline framework known as FTI; Feature Training and Inference and argues on how this is a better mind map for ML systems, both batch and real-time.
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Tutorial
11 min

Feature Pipelines in Production: Code, Deployment & Monitoring

Fabio presents the 3 main ways to keep feature pipelines in production with Hopsworks.
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Choose your own path.

Check our video categories below, including tutorials on using Hopsworks' features and building cool LLM applications.
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Tutorials

Step-by-step tutorials to get familiar with our platform's features.

Generating Training Data From Features in Hopsworks

Fabio reviews the different ways to generate training data for machine learning models, from the features stored in Hopsworks.
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Batch & Real-Time Machine Learning Systems; A better framework with Hopsworks Feature Store

Jim explores the machine learning pipeline framework known as FTI; Feature Training and Inference and argues on how this is a better mind map for ML systems, both batch and real-time.
Watch video

Streaming Feature Pipelines in Hopsworks; Making Data Available in Real-time

Fabio shows how users can create streaming feature pipelines in Hopsworks using Spark Streaming and Kafka.
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Real-Time Inference: How To Retrieve Data From Hopsworks

A guide to how to use the Hopsworks API and Feature Views to retrieve data for real-time inference.
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Feature Pipelines in Production with Hopsworks: Code, Deployment & Monitoring

Fabio presents the 3 main ways to keep feature pipelines in production with Hopsworks. From the management of the code and the deployment to the monitoring.
Watch video

External Feature Groups in Hopsworks; Leverage Your Existing Data

Fabio introduces the concepts and different use cases for the external feature groups in Hopsworks; data that does not resides in Hopsworks but can still be used for machine learning, even for real-time use cases.
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Deploying Managed Hopsworks Via the UI or Terraform

Mahmoud presents the different options and details on how to deploy managed Hopsworks (the enterprise version of Hopsworks) on any clouds via the Hopsworks Control Plane or Terraform.
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Feature Views in Hopsworks: How to Join Feature Groups

Fabio introduces feature views in Hopsworks; a way to join feature groups together in a point in time correct manner with a simple API and avoid inconsistencies in the pipeline by using the same view for training and inference.
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Versioning of Features and Data in Hopsworks

Fabio walks through the different ways to version data and features in the Hopsworks Feature Store.
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Feature Groups in Hopsworks: Working with Dataframes

Fabio shows how to work with feature groups in the Hopsworks feature store and how Hopsworks uses dataframe to help datascientists manipulate data.
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LLM 
Makerspace

Build something cool with Hopsworks.

AI Makerspace - Scaling TikTok's Recommendation System: 1M Writes/Second with Hopsworks

In this makerspace, we show you how to build and operate a real-time feature streaming pipeline that writes at 1m ops/sec - TikTok Scale.
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Building a Cheque Fraud Detection and Explanation AI System using a fine-tuned LLM

We build a LLM that not only detects whether a scanned image of a cheque is a fraud, but also writes an explanation for why the cheque has been marked as fraud.
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Build Your Own Private PDF Search Tool: Using RAG and Fine-Tuning in one Platform

We build an AI system that allows you to search your private PDF files.
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Function Calling for LLMs: RAG without a Vector Database

We look into extending RAG for LLMs to include the ability to query structured data and API calls using function calling.
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Show,
don't tell

No slides, just code.

Show, Don't tell - High Availability & Robustness at Hopsworks

Antonios demonstrates the high availability and robustness capabilities of the Hopsworks platform.
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All videos

Dive in and enhance your AI knowledge with our extensive video library.

AI Makerspace - Scaling TikTok's Recommendation System: 1M Writes/Second with Hopsworks

In this makerspace, we show you how to build and operate a real-time feature streaming pipeline that writes at 1m ops/sec - TikTok Scale.
Watch video

Batch & Real-Time Machine Learning Systems; A better framework with Hopsworks Feature Store

Jim explores the machine learning pipeline framework known as FTI; Feature Training and Inference and argues on how this is a better mind map for ML systems, both batch and real-time.
Watch video

Build Your Own Private PDF Search Tool: Using RAG and Fine-Tuning in one Platform

We build an AI system that allows you to search your private PDF files.
Watch video

Building a Cheque Fraud Detection and Explanation AI System using a fine-tuned LLM

We build a LLM that not only detects whether a scanned image of a cheque is a fraud, but also writes an explanation for why the cheque has been marked as fraud.
Watch video

Deploying Managed Hopsworks Via the UI or Terraform

Mahmoud presents the different options and details on how to deploy managed Hopsworks (the enterprise version of Hopsworks) on any clouds via the Hopsworks Control Plane or Terraform.
Watch video

External Feature Groups in Hopsworks; Leverage Your Existing Data

Fabio introduces the concepts and different use cases for the external feature groups in Hopsworks; data that does not resides in Hopsworks but can still be used for machine learning, even for real-time use cases.
Watch video

Feature Groups in Hopsworks: Working with Dataframes

Fabio shows how to work with feature groups in the Hopsworks feature store and how Hopsworks uses dataframe to help datascientists manipulate data.
Watch video

Feature Pipelines in Production with Hopsworks: Code, Deployment & Monitoring

Fabio presents the 3 main ways to keep feature pipelines in production with Hopsworks. From the management of the code and the deployment to the monitoring.
Watch video

Feature Views in Hopsworks: How to Join Feature Groups

Fabio introduces feature views in Hopsworks; a way to join feature groups together in a point in time correct manner with a simple API and avoid inconsistencies in the pipeline by using the same view for training and inference.
Watch video

Function Calling for LLMs: RAG without a Vector Database

We look into extending RAG for LLMs to include the ability to query structured data and API calls using function calling.
Watch video

Generating Training Data From Features in Hopsworks

Fabio reviews the different ways to generate training data for machine learning models, from the features stored in Hopsworks.
Watch video

Real-Time Inference: How To Retrieve Data From Hopsworks

A guide to how to use the Hopsworks API and Feature Views to retrieve data for real-time inference.
Watch video

Show, Don't tell - High Availability & Robustness at Hopsworks

Antonios demonstrates the high availability and robustness capabilities of the Hopsworks platform.
Watch video

Streaming Feature Pipelines in Hopsworks; Making Data Available in Real-time

Fabio shows how users can create streaming feature pipelines in Hopsworks using Spark Streaming and Kafka.
Watch video

Versioning of Features and Data in Hopsworks

Fabio walks through the different ways to version data and features in the Hopsworks Feature Store.
Watch video

What is a Feature Store for Machine Learning?

Lex explains what is a feature store in a nutshell; what does it do, why is it important, and how it helps organisations build more models faster.
Watch video

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