Azure · lukemurraynz · Nov 27, 2024 · Nov 27, 2024
diff --git a/README.md b/README.md
@@ -9,7 +9,7 @@ Welcome to this envisioning workshop designed to help you build your own custom
 
 In this comprehensive workshop, you will:
 
-- Utilize Azure AI Studio for reasoning engines, Prompt Flow for LLMOps, AI Search for semantic retrieval systems, and Semantic Kernel for orchestration.
+- Utilize Azure AI Foundry for reasoning engines, Prompt Flow for LLMOps, AI Search for semantic retrieval systems, and Semantic Kernel for orchestration.
 - Work with [Miyagi](https://github.com/Azure-Samples/miyagi) codebase during the hands-on experiential workshop
 - Explore advanced capabilities such as AutoGen and GraphRag
 

diff --git a/docs/index.md b/docs/index.md
@@ -13,7 +13,7 @@ Inspired by Github Copilot's impact on developer productivity, this experiential
 
 In this comprehensive workshop, you will:
 
-- Utilize Azure AI Studio for reasoning engines, Prompt Flow for LLMOps, AI Search for semantic retrieval systems, and Semantic Kernel for orchestration.
+- Utilize Azure AI Foundry for reasoning engines, Prompt Flow for LLMOps, AI Search for semantic retrieval systems, and Semantic Kernel for orchestration.
 - Work with [Miyagi](https://github.com/Azure-Samples/miyagi) codebase during the hands-on experiential workshop.
 - Explore advanced capabilities such as AutoGen and GraphRaG.
 
@@ -22,7 +22,7 @@ In this comprehensive workshop, you will:
 
 ???+ info "Pre-requisite"
 
-    Please sign up for [Azure OpenAI (AOAI)](https://aka.ms/oai/access) and complete the [Getting Started with AOAI module](https://learn.microsoft.com/en-us/training/modules/get-started-openai/) to get the most out of this workshop.
+    Please complete the [Getting Started with AOAI module](https://learn.microsoft.com/en-us/training/modules/get-started-openai/) to get the most out of this workshop.
 
 1. **Brief Overview of Gen AI Capabilities and Use Cases**: Explore the art of the possible with multi-agent and advanced retrieval systems using samples like [Miyagi](https://github.com/Azure-Samples/miyagi) and [Holmes](https://github.com/Azure-Samples/holmes). Engage in interactive demonstrations to envision potential applications with reasoning engines and semantic memory systems.
 1. **Design Thinking Session (Optional)**: Participate in a collaborative brainstorming activity to identify your unique use cases, focusing on addressing user needs and alleviating pain points, ensuring the workshop is relevant to you.

diff --git a/docs/wksp/00-intro/index.md b/docs/wksp/00-intro/index.md
@@ -9,7 +9,7 @@ We will also highlight the emergent capabilities that are advantageous to adopt,
 
 ## Overview
 
-This workshop offers a methodical, hands-on approach that starts with the basics and gradually introduces you to advanced capabilities. It covers a broad range of topics, including the latest frameworks, methodologies, and architectures in AI-driven app development, along with production-grade deployment options on Azure. We will begin with Azure AI Studio and Prompt Flow to demonstrate how easy it is to get started. From there, we will dive deeper into SDK-based development, utilizing AI orchestration libraries (Semantic Kernel, Langchain, Llamaindex) integrated with Azure AI's LLMOps tooling, the multi-agent framework with AutoGen with Assistants API, and advanced retrieval systems using GraphRag. Once you are well-versed in these capabilities, the next step is to identify customer needs and work backwards to determine how these technologies can be integrated into the development process to address those needs effectively.
+This workshop offers a methodical, hands-on approach that starts with the basics and gradually introduces you to advanced capabilities. It covers a broad range of topics, including the latest frameworks, methodologies, and architectures in AI-driven app development, along with production-grade deployment options on Azure. We will begin with Azure AI Foundry and Prompt Flow to demonstrate how easy it is to get started. From there, we will dive deeper into SDK-based development, utilizing AI orchestration libraries (Semantic Kernel, Langchain, Llamaindex) integrated with Azure AI's LLMOps tooling, the multi-agent framework with AutoGen with Assistants API, and advanced retrieval systems using GraphRag. Once you are well-versed in these capabilities, the next step is to identify customer needs and work backwards to determine how these technologies can be integrated into the development process to address those needs effectively.
 
 ### Who is this for
 

diff --git a/docs/wksp/04-Semantic-Kernel-Basics/index.md b/docs/wksp/04-Semantic-Kernel-Basics/index.md
@@ -7,7 +7,7 @@ We will start with a comprehensive presentation to familiarize participants with
 We will explore the following notebooks and examples to get familiar with SK and its capabilities:
 
 [.NET](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/notebooks){ .md-button }
-[Python](https://github.com/microsoft/semantic-kernel/tree/main/python/notebooks){ .md-button }
-[Java](https://github.com/microsoft/semantic-kernel/tree/java-development/java/samples){ .md-button }
+[Python](https://github.com/microsoft/semantic-kernel/tree/main/python/samples/getting_started){ .md-button }
+[Java](https://github.com/microsoft/semantic-kernel-java/tree/main/samples){ .md-button }
 
 [Sign up for updates](https://forms.office.com/r/rLds2s8RH1){ :target="_blank" .md-button .md-button--primary }
diff --git a/docs/wksp/07-custom-copilot/index.md b/docs/wksp/07-custom-copilot/index.md
@@ -1,13 +1,13 @@
-# Build Custom Copilots using Azure AI Studio
+# Build Custom Copilots using Azure AI Foundry
 
-We will start with by building copilots using Azure AI Studio
+We will start with by building copilots using Azure AI Foundry
 
-## Step-by Step guide for building a custom copilot using the chat playground in Azure AI Studio
+## Step-by Step guide for building a custom copilot using the chat playground in Azure AI Foundry
 
 Follow this tutorial to build a custom copilot using AI Studio
 
 [Use the chat playground in Azure AI Foundry portal](https://learn.microsoft.com/en-us/azure/ai-studio/quickstarts/get-started-playground){ .md-button }
 
-## Step-by Step guide for building a custom copilot using the prompt flow SDK in Azure AI Studio
+## Step-by Step guide for building a custom copilot using the prompt flow SDK in Azure AI Foundry
 
 [Build a basic chat app in Python using Azure AI Foundry SDK](https://learn.microsoft.com/en-us/azure/ai-studio/quickstarts/get-started-code){ .md-button }
diff --git a/mkdocs.yml b/mkdocs.yml
@@ -49,7 +49,7 @@ nav:
       - QA on Domain Knowledge: wksp/06-use-cases/synthesis.md
       - Plugins: wksp/06-use-cases/synthesis.md
   - Module 7 - Building Custom Copilots:
-      - Build Custom Copilots using Azure AI Studio: wksp/07-custom-copilot/index.md
+      - Build Custom Copilots using Azure AI Foundry: wksp/07-custom-copilot/index.md
       - Extend Custom Copilot with AI Document Intelligence, AI Vision, and multi-modal Foundation model: wksp/07-custom-copilot/extend-copilot-ai-doc-intel.md