docs: link training tutorials under the /tutorials/ section prefix

fern/versions/latest/pages/about/architecture.mdx

@@ -115,7 +115,7 @@ Browse available environments for evaluation and training.
 Explore available agent harnesses and learn how to integrate your own agent.
 </Card>
 
-<Card title="Training" href="/training-tutorials">
+<Card title="Training" href="/tutorials/training-tutorials">
 Improve your agent or model with RL or fine-tuning.
 </Card>
 

fern/versions/latest/pages/about/concepts/training.mdx

@@ -70,7 +70,7 @@ This turns an environment into a synthetic data generation (SDG) pipeline.
 
 <Cards>
 
-<Card title="Training Tutorials" href="/training-tutorials">
+<Card title="Training Tutorials" href="/tutorials/training-tutorials">
 Hands-on guides for training with NeMo Gym.
 </Card>
 

fern/versions/latest/pages/about/ecosystem.mdx

@@ -37,9 +37,9 @@ Seamlessly combine environments and benchmarks from other libraries alongside Ne
 
 Use environments for SFT and RL training. If you're interested in integrating another training framework, see the [Training Framework Integration Guide](/contribute/rl-framework-integration).
 
-- **[NeMo RL](/training-tutorials/nemo-rl-grpo)**
-- **[Unsloth](/training-tutorials/unsloth)**
-- **[VeRL](/training-tutorials/verl)**
+- **[NeMo RL](/tutorials/training-tutorials/nemo-rl-grpo)**
+- **[Unsloth](/tutorials/training-tutorials/unsloth)**
+- **[VeRL](/tutorials/training-tutorials/verl)**
 
 ## Agent Harnesses
 

fern/versions/latest/pages/about/index.mdx

@@ -52,7 +52,7 @@ Browse available environments for evaluation and training.
 Explore available agent harnesses and learn how to integrate your own agent.
 </Card>
 
-<Card title="Training" href="/training-tutorials">
+<Card title="Training" href="/tutorials/training-tutorials">
 Improve your agent or model with RL or fine-tuning.
 </Card>
 

fern/versions/latest/pages/contribute/rl-framework-integration/index.mdx

@@ -9,7 +9,7 @@ These guides cover how to integrate NeMo Gym into a new RL training framework. U
 - Contributing NeMo Gym integration for a training framework that does not have one yet
 
 <Tip>
-Just want to train models? See [Training Tutorials](/training-tutorials) for supported frameworks.
+Just want to train models? See [Training Tutorials](/tutorials/training-tutorials) for supported frameworks.
 
 </Tip>
 

fern/versions/latest/pages/data/download-huggingface.mdx

@@ -290,7 +290,7 @@ rm -rf ~/.cache/huggingface/hub/datasets--<org>--<dataset>
 Preprocess raw data, run `gym dataset collate`, and add `agent_ref` routing.
 </Card>
 
-<Card title="Training Tutorials" href="/training-tutorials">
+<Card title="Training Tutorials" href="/tutorials/training-tutorials">
 
 Use validated data to train with your preferred RL framework.
 </Card>

fern/versions/latest/pages/data/prepare-validate.mdx

@@ -388,6 +388,6 @@ datasets:
 
 ## Next Steps
 
-<Card title="Training Tutorials" href="/training-tutorials">
+<Card title="Training Tutorials" href="/tutorials/training-tutorials">
 Use validated data for RL training or fine-tuning.
 </Card>

fern/versions/latest/pages/environment-tutorials/real-world-environment/generating-training-data.mdx

@@ -35,6 +35,6 @@ The tutorial is provided as a Jupyter notebook. See the [notebook README](https:
 
 ## What's Next?
 
-After generating your tasks, let's perform [GRPO training](/training-tutorials/nemo-rl-grpo) with NeMo RL by having an agent attempt the tasks in the Workplace Assistant environment.
+After generating your tasks, let's perform [GRPO training](/tutorials/training-tutorials/nemo-rl-grpo) with NeMo RL by having an agent attempt the tasks in the Workplace Assistant environment.
 
 <NavButton href="/environment-tutorials/real-world-environment/resources-server-implementation" label="Resources Server Implementation" direction="next" />

fern/versions/latest/pages/environment-tutorials/single-step-environment.mdx

@@ -496,11 +496,11 @@ Once you've collected rollouts and validated your environment, run training with
 
 <Cards>
 
-<Card title="NeMo RL (GRPO)" href="/training-tutorials/nemo-rl-grpo">
+<Card title="NeMo RL (GRPO)" href="/tutorials/training-tutorials/nemo-rl-grpo">
 Train models using GRPO with NeMo RL.
 </Card>
 
-<Card title="Unsloth" href="/training-tutorials/unsloth">
+<Card title="Unsloth" href="/tutorials/training-tutorials/unsloth">
 Train with Unsloth for fast fine-tuning.
 </Card>
 

fern/versions/latest/pages/evaluation/index.mdx

@@ -105,7 +105,7 @@ Compute per-task pass rates and variance with <code>gym eval profile</code>.
 Recompute rewards from existing rollouts without re-running inference using <code>gym eval reverify</code>.
 </Card>
 
-<Card title="Training" href="/training-tutorials">
+<Card title="Training" href="/tutorials/training-tutorials">
 Use evaluation results to drive post-training.
 </Card>
 

fern/versions/latest/pages/get-started/quickstart.mdx

@@ -133,7 +133,7 @@ Browse available environments for evaluation and training.
 Explore available agent harnesses and learn how to integrate your own agent.
 </Card>
 
-<Card title="Training" href="/training-tutorials">
+<Card title="Training" href="/tutorials/training-tutorials">
 Improve your agent or model with RL or fine-tuning.
 </Card>
 

fern/versions/latest/pages/infrastructure/deployment-topology.mdx

@@ -146,7 +146,7 @@ flowchart LR
 Implement NeMo Gym integration into a new training framework.
 </Card>
 
-<Card title="NeMo RL GRPO Training" href="/training-tutorials/nemo-rl-grpo">
+<Card title="NeMo RL GRPO Training" href="/tutorials/training-tutorials/nemo-rl-grpo">
 End-to-end GRPO training tutorial with NeMo RL.
 </Card>
 

fern/versions/latest/pages/model-recipes/nemotron-3-nano.mdx

@@ -22,7 +22,7 @@ This tutorial walks through the complete setup for distributed training of Nemot
 
 ## Prerequisites
 
-Before starting, complete the [NeMo RL GRPO tutorial](/training-tutorials/nemo-rl-grpo) to understand the NeMo RL training workflow and GRPO fundamentals.
+Before starting, complete the [NeMo RL GRPO tutorial](/tutorials/training-tutorials/nemo-rl-grpo) to understand the NeMo RL training workflow and GRPO fundamentals.
 
 You'll also need:
 

fern/versions/latest/pages/reference/rl-framework-compatibility.mdx

@@ -17,7 +17,7 @@ The following table maps NeMo Gym versions to compatible NeMo RL containers for
 
 **v0.4.0 and later:** NeMo RL plans to publish an NGC container for every Gym release. New rows should use NGC tags; Dockerfile references should not be added unless the same gap recurs.
 
-Match the container to your **model recipe**, not only your NeMo Gym version. For example, the [NeMo RL GRPO](/training-tutorials/nemo-rl-grpo) tutorial trains Nemotron Nano 9B v2 and uses the Nano NGC container from the v0.1.1 row below—not the v0.3.0 Ultra Dockerfile.
+Match the container to your **model recipe**, not only your NeMo Gym version. For example, the [NeMo RL GRPO](/tutorials/training-tutorials/nemo-rl-grpo) tutorial trains Nemotron Nano 9B v2 and uses the Nano NGC container from the v0.1.1 row below—not the v0.3.0 Ultra Dockerfile.
 
 | NeMo Gym Version | Container / Docker File | Recipe |
 | --- | --- | --- |
@@ -27,7 +27,7 @@ Match the container to your **model recipe**, not only your NeMo Gym version. Fo
 | v0.1.1 | [`nvcr.io/nvidia/nemo-rl:v0.4.0.nemotron_3_nano`](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo-rl/tags?version=v0.4.0) | [Nemotron 3 Nano](/model-recipes/nemotron-3-nano) |
 
 <Note>
-[NeMo RL GRPO](/training-tutorials/nemo-rl-grpo) for the NeMo RL training tutorial.
+[NeMo RL GRPO](/tutorials/training-tutorials/nemo-rl-grpo) for the NeMo RL training tutorial.
 
 </Note>
 
@@ -38,7 +38,7 @@ Match the container to your **model recipe**, not only your NeMo Gym version. Fo
 The NeMo Gym integration with Unsloth is tested on `unsloth==2026.1.4` and `unsloth_zoo==2026.1.4`. Other versions are not guaranteed to work.
 
 <Note>
-[Unsloth](/training-tutorials/unsloth) for the Unsloth training tutorial.
+[Unsloth](/tutorials/training-tutorials/unsloth) for the Unsloth training tutorial.
 
 </Note>
 
@@ -49,6 +49,6 @@ The NeMo Gym integration with Unsloth is tested on `unsloth==2026.1.4` and `unsl
 NeMo Gym 0.2.1+ is compatible with verl pinned to the commit in [`REQUIRED_VERL.txt`](https://github.com/verl-project/verl-recipe/blob/main/nemo_gym/REQUIRED_VERL.txt), tested on the `verlai/verl:vllm017.latest` container (vLLM 0.17.0). Other versions are not guaranteed to work.
 
 <Note>
-[Training with VeRL](/training-tutorials/verl) for the verl training tutorial.
+[Training with VeRL](/tutorials/training-tutorials/verl) for the verl training tutorial.
 
 </Note>

fern/versions/latest/pages/training-tutorials/index.mdx

@@ -14,19 +14,19 @@ See [Training](/about/concepts/training) for a refresher on when to use GRPO, SF
 
 <Cards>
 
-<Card title="NeMo RL" href="/training-tutorials/nemo-rl-grpo">
+<Card title="NeMo RL" href="/tutorials/training-tutorials/nemo-rl-grpo">
 Tutorial-series: GRPO training to improve multi-step tool calling on the Workplace Assistant environment, scaling from single-node to multi-node training.
 
 <Badge minimal outlined>nemo rl</Badge> <Badge minimal outlined>grpo</Badge> <Badge minimal outlined>3-5 hours</Badge>
 </Card>
 
-<Card title="Unsloth" href="/training-tutorials/unsloth">
+<Card title="Unsloth" href="/tutorials/training-tutorials/unsloth">
 Example GRPO training on instruction following and reasoning environments.
 
 <Badge minimal outlined>unsloth</Badge> <Badge minimal outlined>single-gpu</Badge> <Badge minimal outlined>30 min</Badge>
 </Card>
 
-<Card title="VeRL" href="/training-tutorials/verl">
+<Card title="VeRL" href="/tutorials/training-tutorials/verl">
 Example DAPO training on math and agentic environments using VeRL, with single and multi-environment support.
 
 <Badge minimal outlined>verl</Badge> <Badge minimal outlined>dapo</Badge> <Badge minimal outlined>multi-node</Badge> <Badge minimal outlined>1 hour</Badge>
@@ -38,7 +38,7 @@ Example DAPO training on math and agentic environments using VeRL, with single a
 
 <Cards>
 
-<Card title="Multi-Environment Training" href="/training-tutorials/multi-environment-training">
+<Card title="Multi-Environment Training" href="/tutorials/training-tutorials/multi-environment-training">
 Run multiple training environments simultaneously for rollout collection.
 
 <Badge minimal outlined>multi-environment</Badge> <Badge minimal outlined>multi-verifier</Badge>
@@ -50,7 +50,7 @@ Run multiple training environments simultaneously for rollout collection.
 
 <Cards>
 
-<Card title="Offline Training with Rollouts" href="/training-tutorials/offline-training-w-rollouts">
+<Card title="Offline Training with Rollouts" href="/tutorials/training-tutorials/offline-training-w-rollouts">
 Transform rollouts into training data for supervised fine-tuning (SFT) and direct preference optimization (DPO).
 
 <Badge minimal outlined>sft</Badge> <Badge minimal outlined>dpo</Badge>

fern/versions/latest/pages/training-tutorials/nemo-rl-grpo/about-workplace-assistant.mdx

@@ -20,11 +20,11 @@ Workplace Assistant is a **multi-step agentic tool-use training environment** th
 
 </Info>
 
-<NavButton href="/training-tutorials/nemo-rl-grpo" label="Back to Tutorial Overview" direction="back" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo" label="Back to Tutorial Overview" direction="back" />
 
 ## Prerequisites
 
-- Read the [tutorial overview](/training-tutorials/nemo-rl-grpo) to understand the training goals
+- Read the [tutorial overview](/tutorials/training-tutorials/nemo-rl-grpo) to understand the training goals
 
 ---
 
@@ -236,4 +236,4 @@ async def route_to_python_function(self, path, body, request):
 
 Now that you understand the Workplace Assistant environment, learn how to configure NeMo Gym for training:
 
-<NavButton href="/training-tutorials/nemo-rl-grpo/gym-configuration" label="Continue to Gym Configuration" direction="next" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo/gym-configuration" label="Continue to Gym Configuration" direction="next" />

fern/versions/latest/pages/training-tutorials/nemo-rl-grpo/gym-configuration.mdx

@@ -19,11 +19,11 @@ Before running GRPO training, you need to configure how NeMo RL connects to NeMo
 
 </Info>
 
-<NavButton href="/training-tutorials/nemo-rl-grpo/about-workplace-assistant" label="Previous: About Workplace Assistant" direction="prev" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo/about-workplace-assistant" label="Previous: About Workplace Assistant" direction="prev" />
 
 ## Prerequisites
 
-- Read [About Workplace Assistant](/training-tutorials/nemo-rl-grpo/about-workplace-assistant) to understand the training environment
+- Read [About Workplace Assistant](/tutorials/training-tutorials/nemo-rl-grpo/about-workplace-assistant) to understand the training environment
 
 ---
 
@@ -33,7 +33,7 @@ The full training configuration file lives in the [NeMo RL repository](https://g
 
 [`examples/nemo_gym/grpo_workplace_assistant_nemotron_nano_v2_9b.yaml`](https://github.com/NVIDIA-NeMo/RL/blob/main/examples/nemo_gym/grpo_workplace_assistant_nemotron_nano_v2_9b.yaml)
 
-Paths in that file are relative to the NeMo RL repo root. After [Setup](/training-tutorials/nemo-rl-grpo/setup), NeMo Gym is checked out inside that repo at `3rdparty/Gym-workspace/Gym/`, which is why the data paths below point there.
+Paths in that file are relative to the NeMo RL repo root. After [Setup](/tutorials/training-tutorials/nemo-rl-grpo/setup), NeMo Gym is checked out inside that repo at `3rdparty/Gym-workspace/Gym/`, which is why the data paths below point there.
 
 ---
 
@@ -57,7 +57,7 @@ data:
 
 | Parameter | Description |
 |-----------|-------------|
-| `train.data_path` | Path to training dataset (created later in [Setup](/training-tutorials/nemo-rl-grpo/setup)) |
+| `train.data_path` | Path to training dataset (created later in [Setup](/tutorials/training-tutorials/nemo-rl-grpo/setup)) |
 | `validation.data_path` | Path to validation dataset |
 | `default.dataset_name` | Must be `NemoGymDataset` so NeMo RL reads Gym-format JSONL |
 | `default.env_name` | Must be `nemo_gym` so batches are routed to the Gym environment |
@@ -119,4 +119,4 @@ env:
 
 With the Gym configuration understood, learn about the GRPO training parameters:
 
-<NavButton href="/training-tutorials/nemo-rl-grpo/nemo-rl-configuration" label="Continue to NeMo RL Configuration" direction="next" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo/nemo-rl-configuration" label="Continue to NeMo RL Configuration" direction="next" />

fern/versions/latest/pages/training-tutorials/nemo-rl-grpo/index.mdx

@@ -22,7 +22,7 @@ Workplace Assistant is a realistic office simulation (calendar, email, project m
 
 </Info>
 
-> **TL;DR:** Want to jump straight to running commands? Skip to [Setup](/training-tutorials/nemo-rl-grpo/setup).
+> **TL;DR:** Want to jump straight to running commands? Skip to [Setup](/tutorials/training-tutorials/nemo-rl-grpo/setup).
 
 ---
 
@@ -58,42 +58,42 @@ Follow these steps sequentially to complete the tutorial:
 
 <Cards>
 
-<Card title="1. About the Workplace Assistant Training Environment" href="/training-tutorials/nemo-rl-grpo/about-workplace-assistant">
+<Card title="1. About the Workplace Assistant Training Environment" href="/tutorials/training-tutorials/nemo-rl-grpo/about-workplace-assistant">
 
 Understand the dataset you will train on and its multi-step tool calling tasks.
 
 <Badge minimal outlined>background</Badge>
 </Card>
 
-<Card title="2. Gym Configuration" href="/training-tutorials/nemo-rl-grpo/gym-configuration">
+<Card title="2. Gym Configuration" href="/tutorials/training-tutorials/nemo-rl-grpo/gym-configuration">
 
 Understand the Gym configuration component in the NeMo RL training config file.
 
 <Badge minimal outlined>configuration</Badge>
 </Card>
 
-<Card title="3. NeMo RL Configuration" href="/training-tutorials/nemo-rl-grpo/nemo-rl-configuration">
+<Card title="3. NeMo RL Configuration" href="/tutorials/training-tutorials/nemo-rl-grpo/nemo-rl-configuration">
 
 Understand the GRPO and NeMo RL configuration components in the training config file.
 
 <Badge minimal outlined>configuration</Badge>
 </Card>
 
-<Card title="4. Setup" href="/training-tutorials/nemo-rl-grpo/setup">
+<Card title="4. Setup" href="/tutorials/training-tutorials/nemo-rl-grpo/setup">
 
 Clone repositories, install dependencies, and prepare the training data.
 
 <Badge intent="success" minimal outlined>prerequisite</Badge>
 </Card>
 
-<Card title="5. Single Node Training" href="/training-tutorials/nemo-rl-grpo/single-node-training">
+<Card title="5. Single Node Training" href="/tutorials/training-tutorials/nemo-rl-grpo/single-node-training">
 
 Perform a single node GRPO training run with success criteria.
 
 <Badge intent="success" minimal outlined>training</Badge>
 </Card>
 
-<Card title="6. Multi-Node Training" href="/training-tutorials/nemo-rl-grpo/multi-node-training">
+<Card title="6. Multi-Node Training" href="/tutorials/training-tutorials/nemo-rl-grpo/multi-node-training">
 
 Scale to multi-node GRPO training for production.
 

fern/versions/latest/pages/training-tutorials/nemo-rl-grpo/multi-node-training.mdx

@@ -19,14 +19,14 @@ Your single-node test run confirmed that the environment, model, and training lo
 
 </Info>
 
-<NavButton href="/training-tutorials/nemo-rl-grpo/single-node-training" label="Previous: Single Node Training" direction="prev" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo/single-node-training" label="Previous: Single Node Training" direction="prev" />
 
 ---
 
 ## Prerequisites
 
 <Info>
-**Complete the [Single Node Training](/training-tutorials/nemo-rl-grpo/single-node-training) first. Do not skip it.** The single-node setup validates that your environment is configured correctly before attempting multi-node training.
+**Complete the [Single Node Training](/tutorials/training-tutorials/nemo-rl-grpo/single-node-training) first. Do not skip it.** The single-node setup validates that your environment is configured correctly before attempting multi-node training.
 
 </Info>
 
@@ -74,7 +74,7 @@ SLURM_PARTITION={your Slurm partition} \
 ```
 
 <Tip>
-If you are using enroot following the steps in the [Setup](/training-tutorials/nemo-rl-grpo/setup) doc and downloaded the container locally, use the local container filepath instead:
+If you are using enroot following the steps in the [Setup](/tutorials/training-tutorials/nemo-rl-grpo/setup) doc and downloaded the container locally, use the local container filepath instead:
 
 ```bash
 CONTAINER_IMAGE_PATH=$PWD/../nvcr.io/nvidia/nemo-rl:v0.4.0.nemotron_3_nano \

fern/versions/latest/pages/training-tutorials/nemo-rl-grpo/nemo-rl-configuration.mdx

@@ -20,11 +20,11 @@ With the Gym configuration in place, the next step is understanding the core tra
 
 </Info>
 
-<NavButton href="/training-tutorials/nemo-rl-grpo/gym-configuration" label="Previous: Gym Configuration" direction="prev" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo/gym-configuration" label="Previous: Gym Configuration" direction="prev" />
 
 ## Prerequisites
 
-- Read [Gym Configuration](/training-tutorials/nemo-rl-grpo/gym-configuration) to understand the Gym-specific parameters
+- Read [Gym Configuration](/tutorials/training-tutorials/nemo-rl-grpo/gym-configuration) to understand the Gym-specific parameters
 
 ---
 
@@ -78,4 +78,4 @@ examples/nemo_gym/grpo_workplace_assistant_nemotron_nano_v2_9b.yaml
 
 With the configuration parameters understood, set up your training environment:
 
-<NavButton href="/training-tutorials/nemo-rl-grpo/setup" label="Continue to Setup" direction="next" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo/setup" label="Continue to Setup" direction="next" />

fern/versions/latest/pages/training-tutorials/nemo-rl-grpo/setup.mdx

@@ -22,7 +22,7 @@ Now that you understand the configuration parameters for GRPO training, it's tim
 
 </Info>
 
-<NavButton href="/training-tutorials/nemo-rl-grpo/nemo-rl-configuration" label="Previous: NeMo RL Configuration" direction="prev" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo/nemo-rl-configuration" label="Previous: NeMo RL Configuration" direction="prev" />
 
 ---
 
@@ -254,4 +254,4 @@ cd ../../..
 
 With your environment set up and data prepared, run your first training session:
 
-<NavButton href="/training-tutorials/nemo-rl-grpo/single-node-training" label="Continue to Single Node Training" direction="next" />
+<NavButton href="/tutorials/training-tutorials/nemo-rl-grpo/single-node-training" label="Continue to Single Node Training" direction="next" />