🌐 Update translations via Co-op Translator

Author: koreyspace

translations/de/00-course-setup/README.md

@@ -1,8 +1,8 @@
 <!--
 CO_OP_TRANSLATOR_METADATA:
 {
-  "original_hash": "49fa13c21a816ffcc7740ab17ba024a9",
-  "translation_date": "2025-05-20T09:06:28+00:00",
+  "original_hash": "4543cc389d478e6d24354cf3b23c2b62",
+  "translation_date": "2025-06-05T09:39:24+00:00",
   "source_file": "00-course-setup/README.md",
   "language_code": "de"
 }
@@ -13,7 +13,7 @@ Wähle die Option `Fine-grained tokens` option on the left side of your screen.
 
 Then select `Generate new token`.
 
-![Generate Token](../../../translated_images/generate-token.361ec40abe59b84ac68d63c23e2b6854d6fad82bd4e41feb98fc0e6f030e8ef7.de.png)
+![Generate Token](../../../00-course-setup/images/generate-token.png)
 
 You will be prompted to enter a name for your token, select the expiration date (Recommended: 30 Days), and select the scopes for your token (Public Repositories).
 
@@ -22,7 +22,7 @@ Copy your new token that you have just created. You will now add this to your `.
 
 ### Step 2: Create Your `.env` File
 
-To create your `.env` Datei und führe den folgenden Befehl in deinem Terminal aus.
+To create your `.env` Datei aus und führe den folgenden Befehl in deinem Terminal aus.
 
 ```bash
 cp .env.example .env
@@ -38,13 +38,13 @@ You should now be able to run the code samples of this course.
 
 ### Step 1: Retrieve Your Azure Project Connection String
 
-Follow the steps to creating a project and agent in Azure AI Foundry found here: [Create a project in Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-services/agents/quickstart?pivots=ai-foundry-portal?WT.mc_id=academic-105485-koreyst)
+Follow the steps to create a project and agent in Azure AI Foundry found here: [Create a project in Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-services/agents/quickstart?pivots=ai-foundry-portal?WT.mc_id=academic-105485-koreyst)
 
 Once you have created your project, you will need to retrieve the connection string for your project.
 
 This can be done by going to the **Overview** page of your project in the Azure AI Foundry portal.
 
-![Project Connection String](../../../translated_images/project-connection-string.8a2c7c804a33d53df14011e583d0c3fe0f79d9eb52b72e3c7d7d2f68f828c8aa.de.png)
+![Project Connection String](../../../00-course-setup/images/project-connection-string.png)
 
 ### Step 2: Create Your `.env` File
 
@@ -67,7 +67,7 @@ Next, open a terminal and run `az login --use-device-code` to sign in to your Az
 Once you've logged in, select your subscription in the terminal.
 
 
-## Additional Envionment Variables - Azure Search and Azure OpenAI 
+## Additional Environment Variables - Azure Search and Azure OpenAI 
 
 For the Agentic RAG Lesson - Lesson 5 - there are samples that use Azure Search and Azure OpenAI.
 
@@ -117,17 +117,17 @@ from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential
 
 ## Steckst du irgendwo fest?
 
-Wenn du Probleme bei der Einrichtung hast, tritt unserem
+Wenn du Probleme bei der Einrichtung hast, komm gerne in unser
 
 oder
 
-bei.
+.
 
 ## Nächste Lektion
 
-Du bist jetzt bereit, den Code dieses Kurses auszuführen. Viel Erfolg und viel Spaß beim weiteren Lernen über die Welt der KI-Agenten!
+Du bist jetzt bereit, den Code für diesen Kurs auszuführen. Viel Spaß beim weiteren Lernen über die Welt der KI-Agenten!
 
 [Einführung in KI-Agenten und Anwendungsfälle für Agenten](../01-intro-to-ai-agents/README.md)
 
 **Haftungsausschluss**:  
-Dieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner ursprünglichen Sprache gilt als maßgebliche Quelle. Für wichtige Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die aus der Verwendung dieser Übersetzung entstehen.
+Dieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner ursprünglichen Sprache gilt als maßgebliche Quelle. Für wichtige Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die aus der Nutzung dieser Übersetzung entstehen.

translations/es/00-course-setup/README.md

@@ -1,133 +1,133 @@
-<!--
-CO_OP_TRANSLATOR_METADATA:
-{
-  "original_hash": "49fa13c21a816ffcc7740ab17ba024a9",
-  "translation_date": "2025-05-20T08:55:10+00:00",
-  "source_file": "00-course-setup/README.md",
-  "language_code": "es"
-}
--->
-en tu cuenta de GitHub.
-
-Selecciona los `Fine-grained tokens` option on the left side of your screen.
-
-Then select `Generar nuevo token`.
-
-![Generate Token](../../../translated_images/generate-token.361ec40abe59b84ac68d63c23e2b6854d6fad82bd4e41feb98fc0e6f030e8ef7.es.png)
-
-You will be prompted to enter a name for your token, select the expiration date (Recommended: 30 Days), and select the scopes for your token (Public Repositories).
-
-Copy your new token that you have just created. You will now add this to your `.env` file included in this course. 
-
-
-### Step 2: Create Your `.env` File
-
-To create your `.env` archivo y ejecuta el siguiente comando en tu terminal.
-
-```bash
-cp .env.example .env
-```
-
-Esto copiará el archivo de ejemplo y creará un archivo `.env` in your directory and where you fill in the values for the environment variables.
-
-With your token copied, open the `.env` file in your favorite text editor and paste your token into the `GITHUB_TOKEN` field.
-
-You should now be able to run the code samples of this course.
-
-## Set Up for Samples using Azure AI Foundry and Azure AI Agent Service
-
-### Step 1: Retrieve Your Azure Project Connection String
-
-Follow the steps to creating a project and agent in Azure AI Foundry found here: [Create a project in Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-services/agents/quickstart?pivots=ai-foundry-portal?WT.mc_id=academic-105485-koreyst)
-
-Once you have created your project, you will need to retrieve the connection string for your project.
-
-This can be done by going to the **Overview** page of your project in the Azure AI Foundry portal.
-
-![Project Connection String](../../../translated_images/project-connection-string.8a2c7c804a33d53df14011e583d0c3fe0f79d9eb52b72e3c7d7d2f68f828c8aa.es.png)
-
-### Step 2: Create Your `.env` File
-
-To create your `.env` ejecuta el siguiente comando en tu terminal.
-
-```bash
-cp .env.example .env
-```
-
-Esto copiará el archivo de ejemplo y creará un archivo `.env` in your directory and where you fill in the values for the environment variables.
-
-With your token copied, open the `.env` file in your favorite text editor and paste your token into the `PROJECT_CONNECTION_STRING` field.
-
-### Step 3: Sign in to Azure
-
-As a security best practice, we'll use [keyless authentication](https://learn.microsoft.com/azure/developer/ai/keyless-connections?tabs=csharp%2Cazure-cli?WT.mc_id=academic-105485-koreyst) to authenticate to Azure OpenAI with Microsoft Entra ID. Before you can do so, you'll first need to install the **Azure CLI** per the [installation instructions](https://learn.microsoft.com/cli/azure/install-azure-cli?WT.mc_id=academic-105485-koreyst) for your operating system.
-
-Next, open a terminal and run `az login --use-device-code` to sign in to your Azure account.
-
-Once you've logged in, select your subscription in the terminal.
-
-
-## Additional Envionment Variables - Azure Search and Azure OpenAI 
-
-For the Agentic RAG Lesson - Lesson 5 - there are samples that use Azure Search and Azure OpenAI.
-
-If you want to run these samples, you will need to add the following environment variables to your `.env` file:
-
-### Overview Page (Project)
-
-- `AZURE_SUBSCRIPTION_ID` - Check **Project details** on the **Overview** page of your project.
-
-- `AZURE_AI_PROJECT_NAME` - Look at the top of the **Overview** page for your project.
-
-- `AZURE_OPENAI_SERVICE` - Find this in the **Included capabilities** tab for **Azure OpenAI Service** on the **Overview** page.
-
-### Management Center
-
-- `AZURE_OPENAI_RESOURCE_GROUP` - Go to **Project properties** on the **Overview** page of the **Management Center**.
-
-- `GLOBAL_LLM_SERVICE` - Under **Connected resources**, find the **Azure AI Services** connection name. If not listed, check the **Azure portal** under your resource group for the AI Services resource name.
-
-### Models + Endpoints Page
-
-- `AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME` - Select your embedding model (e.g., `text-embedding-ada-002`) and note the **Deployment name** from the model details.
-
-- `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` - Select your chat model (e.g., `gpt-4o-mini`) and note the **Deployment name** from the model details.
-
-### Azure Portal
-
-- `AZURE_OPENAI_ENDPOINT` - Look for **Azure AI services**, click on it, then go to **Resource Management**, **Keys and Endpoint**, scroll down to the "Azure OpenAI endpoints", and copy the one that says "Language APIs".
-
-- `AZURE_OPENAI_API_KEY` - From the same screen, copy KEY 1 or KEY 2.
-
-- `AZURE_SEARCH_SERVICE_ENDPOINT` - Find your **Azure AI Search** resource, click it, and see **Overview**.
-
-- `AZURE_SEARCH_API_KEY` - Then go to **Settings** and then **Keys** to copy the primary or secondary admin key.
-
-### External Webpage
-
-- `AZURE_OPENAI_API_VERSION` - Visit the [API version lifecycle](https://learn.microsoft.com/en-us/azure/ai-services/openai/api-version-deprecation#latest-ga-api-release) page under **Latest GA API release**.
-
-### Setup keyless authentication
-
-Rather than hardcode your credentials, we'll use a keyless connection with Azure OpenAI. To do so, we'll import `DefaultAzureCredential` and later call the `DefaultAzureCredential` función para obtener las credenciales.
-
-```python
-from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential
-```
-
-## ¿Atascado en algún lugar?
-
-Si tienes algún problema ejecutando esta configuración, únete a nuestro
-
-o
-
-.
-
-## Próxima lección
-
-Ahora estás listo para ejecutar el código de este curso, ¡feliz aprendizaje sobre el mundo de los Agentes de IA!
-
-[Introducción a los Agentes de IA y casos de uso de Agentes](../01-intro-to-ai-agents/README.md)
-
-**Aviso legal**:  
-Este documento ha sido traducido utilizando el servicio de traducción automática [Co-op Translator](https://github.com/Azure/co-op-translator). Aunque nos esforzamos por la precisión, tenga en cuenta que las traducciones automáticas pueden contener errores o inexactitudes. El documento original en su idioma nativo debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por humanos. No nos hacemos responsables por malentendidos o interpretaciones erróneas derivadas del uso de esta traducción.
+<!--
+CO_OP_TRANSLATOR_METADATA:
+{
+  "original_hash": "4543cc389d478e6d24354cf3b23c2b62",
+  "translation_date": "2025-06-05T09:39:06+00:00",
+  "source_file": "00-course-setup/README.md",
+  "language_code": "es"
+}
+-->
+en tu cuenta de GitHub.
+
+Selecciona los `Fine-grained tokens` option on the left side of your screen.
+
+Then select `Generate new token`.
+
+![Generate Token](../../../00-course-setup/images/generate-token.png)
+
+You will be prompted to enter a name for your token, select the expiration date (Recommended: 30 Days), and select the scopes for your token (Public Repositories).
+
+Copy your new token that you have just created. You will now add this to your `.env` file included in this course. 
+
+
+### Step 2: Create Your `.env` File
+
+To create your `.env` archivo y ejecuta el siguiente comando en tu terminal.
+
+```bash
+cp .env.example .env
+```
+
+Esto copiará el archivo de ejemplo y creará un archivo `.env` in your directory and where you fill in the values for the environment variables.
+
+With your token copied, open the `.env` file in your favorite text editor and paste your token into the `GITHUB_TOKEN` field.
+
+You should now be able to run the code samples of this course.
+
+## Set Up for Samples using Azure AI Foundry and Azure AI Agent Service
+
+### Step 1: Retrieve Your Azure Project Connection String
+
+Follow the steps to create a project and agent in Azure AI Foundry found here: [Create a project in Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-services/agents/quickstart?pivots=ai-foundry-portal?WT.mc_id=academic-105485-koreyst)
+
+Once you have created your project, you will need to retrieve the connection string for your project.
+
+This can be done by going to the **Overview** page of your project in the Azure AI Foundry portal.
+
+![Project Connection String](../../../00-course-setup/images/project-connection-string.png)
+
+### Step 2: Create Your `.env` File
+
+To create your `.env` ejecuta el siguiente comando en tu terminal.
+
+```bash
+cp .env.example .env
+```
+
+Esto copiará el archivo de ejemplo y creará un archivo `.env` in your directory and where you fill in the values for the environment variables.
+
+With your token copied, open the `.env` file in your favorite text editor and paste your token into the `PROJECT_CONNECTION_STRING` field.
+
+### Step 3: Sign in to Azure
+
+As a security best practice, we'll use [keyless authentication](https://learn.microsoft.com/azure/developer/ai/keyless-connections?tabs=csharp%2Cazure-cli?WT.mc_id=academic-105485-koreyst) to authenticate to Azure OpenAI with Microsoft Entra ID. Before you can do so, you'll first need to install the **Azure CLI** per the [installation instructions](https://learn.microsoft.com/cli/azure/install-azure-cli?WT.mc_id=academic-105485-koreyst) for your operating system.
+
+Next, open a terminal and run `az login --use-device-code` to sign in to your Azure account.
+
+Once you've logged in, select your subscription in the terminal.
+
+
+## Additional Environment Variables - Azure Search and Azure OpenAI 
+
+For the Agentic RAG Lesson - Lesson 5 - there are samples that use Azure Search and Azure OpenAI.
+
+If you want to run these samples, you will need to add the following environment variables to your `.env` file:
+
+### Overview Page (Project)
+
+- `AZURE_SUBSCRIPTION_ID` - Check **Project details** on the **Overview** page of your project.
+
+- `AZURE_AI_PROJECT_NAME` - Look at the top of the **Overview** page for your project.
+
+- `AZURE_OPENAI_SERVICE` - Find this in the **Included capabilities** tab for **Azure OpenAI Service** on the **Overview** page.
+
+### Management Center
+
+- `AZURE_OPENAI_RESOURCE_GROUP` - Go to **Project properties** on the **Overview** page of the **Management Center**.
+
+- `GLOBAL_LLM_SERVICE` - Under **Connected resources**, find the **Azure AI Services** connection name. If not listed, check the **Azure portal** under your resource group for the AI Services resource name.
+
+### Models + Endpoints Page
+
+- `AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME` - Select your embedding model (e.g., `text-embedding-ada-002`) and note the **Deployment name** from the model details.
+
+- `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` - Select your chat model (e.g., `gpt-4o-mini`) and note the **Deployment name** from the model details.
+
+### Azure Portal
+
+- `AZURE_OPENAI_ENDPOINT` - Look for **Azure AI services**, click on it, then go to **Resource Management**, **Keys and Endpoint**, scroll down to the "Azure OpenAI endpoints", and copy the one that says "Language APIs".
+
+- `AZURE_OPENAI_API_KEY` - From the same screen, copy KEY 1 or KEY 2.
+
+- `AZURE_SEARCH_SERVICE_ENDPOINT` - Find your **Azure AI Search** resource, click it, and see **Overview**.
+
+- `AZURE_SEARCH_API_KEY` - Then go to **Settings** and then **Keys** to copy the primary or secondary admin key.
+
+### External Webpage
+
+- `AZURE_OPENAI_API_VERSION` - Visit the [API version lifecycle](https://learn.microsoft.com/en-us/azure/ai-services/openai/api-version-deprecation#latest-ga-api-release) page under **Latest GA API release**.
+
+### Setup keyless authentication
+
+Rather than hardcode your credentials, we'll use a keyless connection with Azure OpenAI. To do so, we'll import `DefaultAzureCredential` and later call the `DefaultAzureCredential` función para obtener las credenciales.
+
+```python
+from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential
+```
+
+## ¿Atascado en algún lugar?
+
+Si tienes algún problema ejecutando esta configuración, únete a nuestro
+
+o
+
+.
+
+## Próxima Lección
+
+Ahora estás listo para ejecutar el código de este curso. ¡Feliz aprendizaje sobre el mundo de los Agentes de IA!
+
+[Introducción a los Agentes de IA y Casos de Uso](../01-intro-to-ai-agents/README.md)
+
+**Aviso Legal**:  
+Este documento ha sido traducido utilizando el servicio de traducción automática [Co-op Translator](https://github.com/Azure/co-op-translator). Aunque nos esforzamos por la precisión, tenga en cuenta que las traducciones automáticas pueden contener errores o inexactitudes. El documento original en su idioma nativo debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por un humano. No nos hacemos responsables de ningún malentendido o interpretación errónea que surja del uso de esta traducción.