Jimimaku · pull · Feb 27, 2026 · Feb 26, 2026
diff --git a/content/guides/lab-agentic-apps.md b/content/guides/lab-agentic-apps.md
@@ -0,0 +1,77 @@
+---
+title: "Lab: Building Agentic Apps with Docker"
+linkTitle: "Lab: Building Agentic Apps"
+description: |
+  Build agentic applications with Docker Model Runner, MCP Gateway, and Compose
+  in this hands-on interactive lab.
+summary: |
+  Hands-on lab: Build agentic apps with Docker Model Runner, MCP Gateway, and
+  Compose. Learn about models, tools, and agentic frameworks.
+keywords: AI, Docker, Model Runner, MCP Gateway, agentic apps, lab, labspace
+aliases:
+  - /labs/docker-for-ai/agentic-apps/
+params:
+  tags: [ai, labs]
+  time: 20 minutes
+  resource_links:
+    - title: Docker Model Runner docs
+      url: /ai/model-runner/
+    - title: Docker MCP Gateway docs
+      url: /ai/mcp-gateway/
+    - title: Labspace repository
+      url: https://github.com/dockersamples/labspace-agentic-apps-with-docker
+---
+
+Get up and running with building agentic applications using Compose, Docker
+Model Runner, and the Docker MCP Gateway. This hands-on lab takes you from
+understanding AI models to building complete agentic applications.
+
+## What you'll learn
+
+This lab covers three core areas of agentic application development:
+
+**Models**: What models are, how to interact with them, configuring Docker
+Model Runner in Compose, and writing code that connects to the Model Runner
+
+**Tools**: Understanding tools and how they work, how MCP (Model Context
+Protocol) fits in, configuring the Docker MCP Gateway, and connecting to the
+MCP Gateway in code
+
+**Code**: What agentic frameworks are, defining models and tools in a Compose
+file, and configuring your app to use those models and tools
+
+## Modules
+
+| # | Module | Description |
+|---|--------|-------------|
+| 1 | Introduction | Overview of agentic applications and the Docker AI stack |
+| 2 | Understanding Model Interactions | Learn how to interact with AI models |
+| 3 | The Docker Model Runner | Configure and use Docker Model Runner with Compose |
+| 4 | Understanding Tools and MCP | Deep dive into tools, tool calling, and MCP |
+| 5 | The Docker MCP Gateway | Set up and configure the MCP Gateway |
+| 6 | Putting It All Together | Build a complete agentic application |
+| 7 | Conclusion | Summary and next steps |
+
+## Prerequisites
+
+- Install the latest version of Docker Desktop
+- Enable **Docker Model Runner** by going into Settings in Docker Desktop, choosing AI, then selecting Docker Model Runner
+- Pull the Gemma 3 model before launching by running this command:
+
+```console
+$ docker model pull ai/gemma3
+```
+
+## Launch the lab
+
+Start the labspace:
+
+```console
+$ docker compose -f oci://dockersamples/labspace-agentic-apps-with-docker up -d
+```
+
+Then open your browser to [http://localhost:3030](http://localhost:3030).
+
+> [!NOTE]
+>
+> It may take a little while to start due to the AI model download.
diff --git a/content/guides/lab-cagent.md b/content/guides/lab-cagent.md
@@ -0,0 +1,64 @@
+---
+title: "Lab: Getting Started with cagent"
+linkTitle: "Lab: Getting Started with cagent"
+description: |
+  Build intelligent multi-agent teams with cagent and Docker in this hands-on
+  interactive lab.
+summary: |
+  Hands-on lab: Create, share, and orchestrate intelligent AI agents using
+  cagent, MCP Toolkit, and Docker.
+keywords: AI, Docker, cagent, agents, multi-agent, MCP Toolkit, lab, labspace
+aliases:
+  - /labs/docker-for-ai/cagent/
+params:
+  tags: [ai, labs]
+  time: 20 minutes
+  resource_links:
+    - title: cagent documentation
+      url: https://github.com/docker/cagent
+    - title: Docker MCP Toolkit
+      url: https://docs.docker.com/ai/mcp-catalog-and-toolkit/toolkit/
+    - title: Labspace repository
+      url: https://github.com/ajeetraina/labspace-cagent
+---
+
+This lab walks you through building intelligent agents with cagent. You'll learn beginner
+agent concepts, then build sophisticated multi-agent teams that handle complex
+real-world tasks. Learn how to create, share, and orchestrate AI agents with
+Docker.
+
+## What you'll learn
+
+- Create simple agents with cagent
+- Use built-in generic agentic tools for common tasks
+- Integrate MCP servers from the MCP Toolkit
+- Share agents using the Docker Registry
+- Build multi-agent systems for complex workflows
+- Use Docker Model Runner with cagent (preview)
+
+## Modules
+
+| # | Module | Description |
+|---|--------|-------------|
+| 1 | Introduction | Overview of cagent and intelligent agent concepts |
+| 2 | Getting Started | Create your first agent with cagent |
+| 3 | Using Built-in Tools | Leverage the generic agentic tools in cagent |
+| 4 | Using MCP | Integrate MCP servers from the MCP Toolkit |
+| 5 | Sharing Agents | Package and share agents via Docker Registry |
+| 6 | Introduction to Sub-agents | Build multi-agent systems with sub-agent orchestration |
+| 7 | Conclusion | Summary and next steps |
+
+## Prerequisites
+
+- Latest version of Docker Desktop
+- Basic familiarity with Docker
+
+## Launch the lab
+
+Start the labspace:
+
+```console
+$ docker compose -f oci://dockersamples/labspace-cagent up -d
+```
+
+Then open your browser to [http://localhost:3030](http://localhost:3030).
diff --git a/content/guides/lab-docker-for-ai-redirect.md b/content/guides/lab-docker-for-ai-redirect.md
@@ -0,0 +1,8 @@
+---
+title: Docker for AI Labs
+type: redirect
+target: /guides/?tags=labs
+aliases:
+  - /labs/
+  - /labs/docker-for-ai/
+---
diff --git a/content/guides/lab-fine-tuning.md b/content/guides/lab-fine-tuning.md
@@ -0,0 +1,56 @@
+---
+title: "Lab: Fine-Tuning Local Models"
+linkTitle: "Lab: Fine-Tuning Models"
+description: |
+  Fine-tune AI models using Docker Offload, Docker Model Runner, and Unsloth
+  in this hands-on interactive lab.
+summary: |
+  Hands-on lab: Fine-tune, validate, and share custom AI models using Docker
+  Offload, Unsloth, and Docker Model Runner.
+keywords: AI, Docker, fine-tuning, Docker Offload, Unsloth, Model Runner, lab, labspace
+aliases:
+  - /labs/docker-for-ai/fine-tuning/
+params:
+  tags: [ai, labs]
+  time: 20 minutes
+  resource_links:
+    - title: Docker Model Runner docs
+      url: /ai/model-runner/
+    - title: Labspace repository
+      url: https://github.com/dockersamples/labspace-fine-tuning
+---
+
+This lab provides a hands-on walkthrough of fine-tuning AI models using Docker
+Offload, Docker Model Runner, and Unsloth. Learn how to customize models for
+your specific use case, validate the results, and share them via Docker Hub.
+
+## What you'll learn
+
+- Use Docker Offload to fine-tune a model with GPU acceleration
+- Package and share the fine-tuned model on Docker Hub
+- Run the custom model with Docker Model Runner
+- Understand the end-to-end workflow from training to deployment
+
+## Modules
+
+| # | Module | Description |
+|---|--------|-------------|
+| 1 | Introduction | Overview of fine-tuning concepts and the Docker AI stack |
+| 2 | Fine-Tuning with Docker Offload | Run fine-tuning using Unsloth and Docker Offload |
+| 3 | Validate and Publish | Test the fine-tuned model and publish to Docker Hub |
+| 4 | Conclusion | Summary, key takeaways, and next steps |
+
+## Prerequisites
+
+- Docker Desktop with Docker Offload enabled
+- GPU access with Docker Offload cloud resources
+
+## Launch the lab
+
+Ensure you have Docker Offload running, then start the labspace:
+
+```console
+$ docker compose -f oci://dockersamples/labspace-fine-tuning up -d
+```
+
+Then open your browser to [http://localhost:3030](http://localhost:3030).
diff --git a/content/guides/lab-mcp-gateway.md b/content/guides/lab-mcp-gateway.md
@@ -0,0 +1,63 @@
+---
+title: "Lab: Docker MCP Gateway"
+linkTitle: "Lab: Docker MCP Gateway"
+description: |
+  Run containerized MCP servers safely and securely with the Docker MCP Gateway
+  in this hands-on interactive lab.
+summary: |
+  Hands-on lab: Configure, secure, and connect MCP servers to your agentic
+  applications using the Docker MCP Gateway.
+keywords: AI, Docker, MCP, MCP Gateway, MCP servers, lab, labspace
+aliases:
+  - /labs/docker-for-ai/mcp-gateway/
+params:
+  tags: [ai, labs]
+  time: 20 minutes
+  resource_links:
+    - title: Docker MCP Gateway docs
+      url: /ai/mcp-gateway/
+    - title: MCP Gateway GitHub
+      url: https://github.com/docker/mcp-gateway
+    - title: Labspace repository
+      url: https://github.com/dockersamples/labspace-mcp-gateway
+---
+
+This lab provides a comprehensive, hands-on overview of the Docker MCP Gateway,
+which enables you to run containerized MCP servers safely and securely. Learn
+how to configure, secure, and connect MCP servers to your agentic applications.
+
+## What you'll learn
+
+- Learn about the Docker MCP Gateway and its architecture
+- Run the MCP Gateway with a simple MCP server
+- Inject secrets securely into MCP servers
+- Filter tools to reduce noise and save tokens
+- Connect the MCP Gateway to your application using popular agentic frameworks
+- Configure and use custom MCP servers
+
+## Modules
+
+| # | Module | Description |
+|---|--------|-------------|
+| 1 | Introduction | Overview of the MCP Gateway and why it matters |
+| 2 | Adding a Simple MCP Server | Get started with a basic MCP server configuration |
+| 3 | Adding a Complex MCP Server | Configure MCP servers with secrets and advanced options |
+| 4 | Filtering Available Tools | Reduce noise and save tokens by filtering tool availability |
+| 5 | Connecting MCP Gateway to Your App | Integrate the MCP Gateway with agentic frameworks |
+| 6 | Using a Custom MCP Server | Build and run your own custom MCP server |
+| 7 | Conclusion | Summary and next steps |
+
+## Prerequisites
+
+- The latest version of Docker Desktop with Docker Model Runner enabled
+- Basic familiarity with Docker and Docker Compose
+
+## Launch the lab
+
+Start the labspace:
+
+```console
+$ docker compose -f oci://dockersamples/labspace-mcp-gateway up -d
+```
+
+Then open your browser to [http://localhost:3030](http://localhost:3030).
diff --git a/content/tags/labs/_index.md b/content/tags/labs/_index.md
@@ -0,0 +1,3 @@
+---
+title: Labs
+---
diff --git a/data/tags.yaml b/data/tags.yaml
@@ -24,6 +24,8 @@ faq:
   title: FAQ
 frameworks:
   title: Frameworks
+labs:
+  title: Labs
 networking:
   title: Networking
 observability: