Rob Kerr's Blog

This video walks through the process of setting up Microsoft Fabric database mirroring from Google BigQuery, covering both automated setup on the BigQuery side and configuration in Fabric. You'll learn how to automate service account creation, IAM permissions, and GCS bucket setup, as well as how to create a mirrored database, start replication, and monitor sync status. The video also explains the underlying mechanics of near real-time replication and its benefits for SQL, Power BI, and AI scenarios.

Jun 24, 202672 views

5:20

Query BigQuery Iceberg Tables from Microsoft Fabric (Shortcuts + Automation)

This video walks through how to use Microsoft Fabric shortcuts to access Google BigQuery Iceberg tables, automating the setup process on the Google Cloud side and demonstrating how to configure and query these tables directly from Fabric without data replication or duplication. You'll learn about the automation script that handles service account creation, IAM permissions, and necessary BigQuery and Iceberg table access, as well as how to use shortcuts in Fabric for seamless SQL and Power BI integration.

Jun 21, 202684 views

33:16

Building NFL Analytics with Fabric, Power BI, and AI Agents

This video walks through the process of building an end-to-end analytics reference architecture for NFL data using Microsoft Fabric. Viewers will learn how to download and process NFLVerse data, create a Fabric workspace and Lakehouse, deploy Power BI semantic models, and develop Fabric Data Agents for AI-powered analytics.

May 25, 2026268 views

7:29

From On Prem SQL to Natural Language Queries with Fabric Mirroring & Data Agents

This video walks through the process of exposing on-premises SQL Server data for natural language querying using Microsoft Fabric Mirroring and OneLake. You'll see how to set up Change Data Capture (CDC) and the On Premises Data Gateway, mirror specific tables into OneLake, and use a Fabric Data Agent to enable users to ask plain English questions that are then translated into SQL queries for analysis.

Apr 20, 2026206 views

17:22

Microsoft Fabric Private Link: Secure a Workspace in an Azure VNet

This video walks through configuring a Microsoft Fabric workspace with a Workspace-scoped Private Link, demonstrating how to restrict access to an Azure Virtual Network (VNet) and build a secure analytics architecture. You will learn about the setup process, including creating virtual networks, subnets, private endpoints, and using a Virtual Network Data Gateway for secure data refreshes, all while understanding when to use workspace-level vs tenant-level Private Links.

Mar 16, 2026849 views

4:31

Using Python to Build a Microsoft Fabric Ontology

This video walks through the process of building a Microsoft Fabric ontology using Python code within a Fabric notebook. You'll learn how to define entities, relationships, and properties using Python, as well as automate the deployment through the Fabric REST API, providing full control over your ontology design and ensuring a repeatable and version-controlled deployment process.

Mar 08, 2026623 views

3:09

Microsoft Fabric Real-Time: Streaming IoT Truck Data into an Ontology

This video walks through the setup of a real-time streaming pipeline in Microsoft Fabric, demonstrating how telemetry data from trucking equipment is processed to automatically capture critical operational events. Viewers will see how telematics events are streamed into Fabric, filtered for mechanical faults, stored in a Lakehouse table, and used to trigger automated workflows, all while visualizing live event movement through the system.

Mar 06, 2026197 views

1:55

Fabric Data Agent + Foundry Agent: Building a Multi-Source AI Assistant

This video walks through the process of integrating a Microsoft Fabric Data Agent with a Microsoft Foundry Agent to create a versatile multi-source AI assistant. You'll learn how to combine structured enterprise data from a Fabric Ontology with unstructured documents using Azure AI Search, enabling the agent to answer complex questions and support natural language queries across various knowledge sources.

Mar 06, 2026358 views

4:23

Can Microsoft Fabric Power Custom Apps? (Yes — Here’s How)

This video walks through building a secure, production-ready web application that integrates Microsoft Fabric with React and FastAPI for backend processing. Viewers will learn how to leverage Fabric Ontology, Data Agent, and Foundry Agent to create map-based visualizations and incorporate generative AI experiences without duplicating data.

Mar 02, 2026369 views

41:08

Designing and Building an Ontology in Microsoft Fabric (uncut)

This video walks through the process of designing and building an ontology in Microsoft Fabric, covering key aspects such as defining entity types and relationships, and implementing these within the platform. Viewers will learn best practices for naming relationships and see a step-by-step tutorial on creating an ontology from start to finish.

Feb 17, 20267,017 views

9:04

Microsoft Fabric Graphs Explained: Graph Models, GQL, and Real Analytics Use Cases

This video walks through the basics of graph data analysis and demonstrates how Microsoft Fabric's new graph capabilities can be used to build and query graphs using real-world customer and order data. Viewers will learn about graph models, nodes, edges, and relationships, as well as how to use GQL for querying graphs within a Fabric Notebook.

Feb 10, 20261,254 views

10:58

Microsoft Foundry Local -- First Look and Walk Through

This video walks through the first look and comprehensive overview of Microsoft Foundry Local, a new local inference engine designed for developers building AI applications. It covers installation on Windows 11, testing model performance, and integrating Foundry Local into local development workflows using Visual Studio Code.

Dec 07, 20251,662 views

20:04

Building Custom MCP Tools for Azure AI Foundry Agents (with Cosmos DB GraphRAG)

This video walks through the process of building a custom MCP (Model Composition Protocol) tool for use with an Azure AI Foundry Agent, focusing on integrating Python-based tools with Cosmos DB Gremlin. You'll learn how to design and implement an HTTP server that exposes GraphRAG tools, deploy it as an Azure Function, and connect it to an AI Foundry Agent, enabling seamless querying of a graph database without requiring knowledge of the underlying data structure.

Dec 01, 20254,010 views

18:10

Building a GraphRAG App: Concepts, Code, and Demo

This video walks through the concepts and implementation of GraphRAG, a method that enhances language model retrieval by incorporating graph databases. Viewers will learn how to build a full-stack GraphRAG application, including setting up the backend, integrating a graph database, and connecting it with an LLM for a more accurate and explainable AI experience.

Nov 27, 20252,651 views

2:51

I turned my LinkedIn Profile into an Infographic with Google Nano Banana Pro 🍌

This video walks through a quick demonstration of using the new Google Nano Banana Pro to generate an infographic based on LinkedIn profile data. The creator tests its ability to handle complex typography and structured layouts, revealing how well it renders text and maintains professional readability.

Nov 24, 2025450 views

13:04

Vectorizing Images with LLMs [Full Stack Deep Dive]

This video walks through building a complete end-to-end image vectorization and similarity search system using modern AI tools, including multimodal language models and GPU-powered infrastructure. You'll learn how to generate image embeddings with an OpenAI model, store vectors efficiently with ChromaDB, and set up LLM microservices for semantic search, culminating in a live demo of the final solution.

Nov 20, 20251,403 views

37:19

From Text to SQL: Fine-Tuning Phi-4-Mini-Instruct with LoRA and PyTorch (Deep Dive)

This video walks through the full workflow of fine-tuning the Phi-4-Mini-Instruct model using LoRA and PyTorch, covering how to code a fine-tuning script, format custom training data, run fine-tuning jobs in a Docker container, merge fine-tuned adapters, quantize the model for efficient local device operation, and test the fine-tuned model. Viewers will gain hands-on experience with these techniques applicable to any CUDA-based environment.

Nov 09, 2025956 views

9:39

Build Smarter AI Systems: 3 Agent Patterns You Can Implement Today

This video walks through the three primary types of Agentic AI patterns—Chat Agents, Workflow Agents, and Autonomous Agents—and demonstrates how to implement each one. You'll learn about the differences between AI agents and chatbots, how reasoning models and tools interact in agentic systems, and when to use each pattern for solving real-world problems, along with practical code examples ranging from simple chat assistants to complex multi-step workflows.

Nov 05, 2025137 views

5:10

Running OpenAI’s GPT-OSS-20B Locally with Open WebUI (Full Setup Guide)

This video walks through the process of setting up OpenAI’s GPT-OSS-20B locally using Docker and Open WebUI, allowing viewers to experiment with a large language model on their own hardware. You'll learn how to create a Docker container, set up NVIDIA Sync for remote access, and run the model on various types of machines, including desktop-class systems like the NVIDIA DGX Spark.

Nov 03, 20256,196 views

5:47

NVIDIA DGX Spark — the data-center-grade AI lab that fits on your desk, but is it right for you?

This video walks through the NVIDIA DGX Spark, detailing its hardware specifications and value proposition, while also exploring who this data-center-grade AI lab is suitable for and who might find it less appropriate.

Oct 27, 202513,638 views

9:37

OpenAI Atlas browser has launched and could change everything. Is it the real deal?

This video walks through the features of OpenAI's newly launched Atlas browser, exploring its capabilities beyond traditional web browsing. The presenter evaluates functions such as page summarization and shopping experiences, as well as trip planning, to determine if Atlas represents a disruptive new technology in the field of web browsers.

Oct 27, 202563 views

18:06

How to configure Entra ID SSO for Snowflake

This video provides a step-by-step walk-through of configuring an Azure Entra ID application registration to enable single sign-on (SSO) for accessing Snowflake databases from a React web application. Viewers will learn how to set up the necessary integration, which can be applied to other applications that support Entra via MSAL or REST connections.

Jul 09, 20251,366 views

6:23

Leveraging Entra OAuth Authentication within a Streamlit Web App

This video walks through the process of integrating Entra OAuth authentication into a Streamlit web application, covering steps from creating an Entra app registration to running the application and viewing JWT output. Viewers will learn how to set up effective single sign-on (SSO) while ensuring high security across all application experiences.

Mar 24, 20253,080 views

7:27

Query Fabric Semantic Models from React Web Applications

This video walks through the process of integrating a Microsoft Fabric Semantic Model query into a custom web application built with React and TypeScript, covering authorization, token retrieval, and querying semantic models using the Power BI REST API. Viewers will learn how to set up necessary permissions, fetch access tokens, and implement query functionality within their React app.

Mar 01, 2025675 views

31:03

Tutorial: Implementing Entra MSAL with a React Web Application

This video walks through the process of setting up and integrating Microsoft Entra MSAL with a React web application, covering essential steps such as creating an App Registration, configuring authorized redirect URLs, restricting app access to specific users or groups, and implementing login flows including token refresh and logout. Viewers will learn how to secure their React app using Entra's authentication services from start to finish.

Feb 27, 20254,904 views

8:38

Deploy an Azure Web App via an Azure DevOps CD Pipeline with a custom App Registration

This video walks through the process of deploying an Azure Web App using a DevOps pipeline and a custom app registration, covering essential configuration steps such as creating an app registration, generating a client secret, authorizing a service principal, setting up a service connection, and building and running the deployment pipeline.

Jan 27, 20251,525 views

18:16

Windows Fine Tuning Combined Streams

This video walks through the process of setting up a local Windows machine with an Nvidia GPU to fine-tune large language models (LLMs) for specific scenarios. Viewers will see how to install necessary tools and software, create a Python environment, and fine-tune an LLM using Unsloth components.

May 10, 20241,486 views

7:03

Mirroring Snowflake data to Microsoft Fabric using Change Data Capture (CDC)

This video walks through the process of setting up near real-time data replication from a Snowflake Data Warehouse to a Microsoft Fabric Data Warehouse using Change Data Capture. Viewers will learn how to enable mirroring, create a mirror, select specific tables for replication, and monitor the mirrored data as new data is added.

Apr 16, 20242,550 views

5:27

Importing Snowflake data to Microsoft Fabric using a Pipeline

This video walks through the process of using a Fabric pipeline to import data from a Snowflake Data Warehouse into a Lakehouse Delta Table, demonstrating how easy it is to set up and run such integrations directly within Microsoft Fabric.

Apr 16, 20243,732 views

6:23

Unleash Your Model's Potential: Guide to Deploying a Fabric ML Model on Azure ML Inference Endpoint

This video walks through the process of exporting a model developed in Microsoft Fabric, importing it into an Azure Machine Learning workspace, and deploying it to a real-time inference endpoint. Viewers will learn how to set up and test this deployment, ensuring their models can provide real-time predictions efficiently.

Feb 27, 20241,086 views

8:16

Deploying and Consuming Large Language Models from the Azure ML Model Catalog

This video walks through the process of selecting and deploying pre-trained large language models from Azure ML's model catalog, then demonstrates how to access these models via a REST API. Viewers will learn to create a resource group, set up an Azure workspace, and deploy a model endpoint for use in their applications.

Feb 16, 2024938 views

13:30

How to create and install custom Python libraries in Microsoft Fabric

This video walks through the process of creating and installing custom Python libraries in a Microsoft Fabric Lakehouse environment, demonstrating how to package code for reuse across notebooks. Viewers will learn how to create a Python package that fetches secrets from Azure Key Vault and install it within Fabric for use in their projects.

Feb 06, 20245,936 views

7:09

How to incorporate AI-Driven Sentiment Analysis models in a Fabric Data Lake Solution

This video walks through integrating Azure AI sentiment analysis models into a Fabric Jupyter notebook environment, demonstrating how to enhance Data Lake tables with user sentiment features. Viewers will learn how to leverage these models for uncovering deeper insights in unstructured data.

Jan 08, 2024365 views

8:43

Incorporating Azure OpenAI Services with Fabric to create insights from unstructured data

This video walks through using Azure OpenAI Services within a Fabric Jupyter notebook to automatically summarize large collections of semi-structured user review data, covering prompt engineering and secure secret storage in Azure Key Vault. It also demonstrates how to read from and write to Delta tables in a Fabric Lakehouse.

Jan 07, 20242,419 views

15:31

Using Azure AI Document Intelligence with Microsoft Fabric

This video walks through the process of building a Document Intelligence solution using Azure AI within Microsoft Fabric. It demonstrates how to ingest scanned document data into a Data Lake solution by leveraging Spark Notebook and Synapse ML for text extraction.

Jan 07, 20243,624 views

5:42

Incorporating Azure AI Translation into a Fabric Data Lake Solution

This video walks through integrating Azure AI Translation into a Fabric Data Lake solution using Synapse ML features within Spark notebooks. Viewers will learn how to apply Language AI Services in Python Jupyter notebooks stored in a Fabric workspace for data enrichment and transformation.

Jan 07, 2024643 views

9:35

Calling Azure AI Document Intelligence using the REST API

This video walks through the process of calling Azure AI Document Intelligence services using the REST API, demonstrating how to extract data from images and PDF scans of forms for integration into data solutions.

Jan 07, 202415,798 views

9:01

Committing a Microsoft Fabric Workspace to a Git Repository

This video walks through setting up and using Git repositories with Microsoft Fabric Workspaces, covering configuration, syncing notebooks and other content, and demonstrating how to recover unintended changes.

Jan 02, 20242,901 views

9:55

Create Gemini Chatbot

This video walks through the process of building a fully functional Gemini Chatbot using Streamlit, starting with setting up dependencies and initializing the Gemini SDK, and progressing to creating a user interface for input prompts before running the bot.

Dec 16, 20234,868 views

18:58

Creating a Custom Generative AI Microsoft Teams Copilot using Copilot Studio

This video walks through creating a custom generative AI Microsoft Teams copilot using Copilot Studio, covering the addition of web site and PDF documentation as grounding knowledge, and implementing custom topics with branching logic. The process starts from scratch and concludes with the deployment of the copilot to a Teams channel for testing.

Dec 04, 20238,529 views

4:26

Display a Power BI Report in a Microsoft Fabric Jupyter Notebook

This video walks through the process of embedding a Power BI report directly into a Jupyter notebook within Microsoft Fabric using the Power BI Python client. Viewers will learn how to authenticate, import necessary dependencies, and create an instance of the report within their notebook environment.

Nov 29, 2023959 views

10:58

Generative AI using Azure AI Integrated Search Vector Embeddings

This video walks through the process of setting up an Azure AI Search service with integrated vector embeddings to index documents for use in Retrieval Augmented Generation (RAG) within generative AI Q&A solutions. It then demonstrates creating a Streamlit Python application that interacts with an OpenAI large language model, utilizing Azure AI Search as the RAG data source.

Nov 19, 2023818 views

2:35

Generative AI in action: how I use Bing Image Creator and Photoshop Generative Fill together

This video walks through a concise demonstration of integrating Bing Image Creator with Photoshop Generative Fill, showcasing how to leverage these tools together to enhance image creation and editing processes.

Nov 18, 2023359 views

9:54

Fabric Semantic Link: Power BI as a Machine Learning Data Source

This video walks through how to use Fabric Semantic Link to integrate Power BI as a data source for developing machine learning models in Microsoft Fabric. Viewers will see a step-by-step guide, including connecting to Power BI, querying its data, and training an ML model using the provided Python notebook.

Nov 11, 20235,740 views

4:37

Creating a Machine Learning Model with IBM Watson Studio and Jupyter

This video walks through the process of creating a machine learning model using IBM Watson Studio and Jupyter notebooks, covering essential steps from logging into IBM Cloud to data wrangling and model training.

Nov 09, 20232,660 views

14:39

Build a Generative AI Chatbot Using a Vector Database for Custom Data (RAG)

This video walks through the process of building a generative AI chatbot that leverages Retrieval Augmented Generation (RAG) to incorporate custom data using OpenAI's LLM, Pinecone for vector database management, and Python notebooks. Viewers will learn how to set up and test the chatbot, integrating semantic understanding of their own data with language model capabilities.

Nov 05, 20233,595 views

6:26

Machine Learning with Fabric Data Science and Jupyter Notebooks

This video walks through the process of moving a local Jupyter notebook from Anaconda to Microsoft Fabric for data science tasks, using a dataset on SpaceX launches to predict successful missions. Viewers will learn how to leverage Fabric Data Science without needing prior knowledge of developing machine learning models.

Nov 03, 20231,040 views

6:52

Bring your own data to Azure OpenAI Service Large Language Models

This video walks through the process of integrating private data into Microsoft Azure OpenAI Service using Retrieval Augmented Generation (RAG) techniques, including uploading PDF files and creating an OpenAI deployment. Viewers will see how to set up a RAG index and test both sandbox and Python environments for generating AI queries that incorporate their own data.

Oct 31, 2023906 views

19:11

Azure ML Deploy Inference Endpoint

This video walks through the process of deploying a machine learning model to a REST endpoint using Microsoft Azure Machine Learning, covering all necessary steps from creating resources and launching ML Studio to training the model and registering it before finally deploying the inference endpoint. Viewers will learn how to integrate their trained model into production applications by making predictions available via HTTP requests.

Oct 24, 20233,170 views

13:48

Exporting Azure AI Vision Models to run on iOS Devices

This video walks through the process of exporting AI Vision models from Azure cloud services and integrating them into iOS applications using CoreML. Viewers will learn how to set up, test, and run these models locally on iOS devices, enhancing application functionality whether connected to the cloud or operating independently.

Oct 08, 2023323 views

10:50

Using AI Vision to Detect Packaging Defects

This video walks through the process of creating an Azure AI Custom Vision object detection model to identify packaging defects in products. Viewers will learn how to set up and train a custom vision project, import images, tag them for training, and test the model's accuracy in detecting packaging issues.

Oct 05, 2023917 views

11:34

Enriching Images with Azure AI Vision for Power BI Analysis