diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml
index 3e74d4086b..e51f2509cf 100644
--- a/docs/source/_toctree.yml
+++ b/docs/source/_toctree.yml
@@ -11,6 +11,8 @@
 - sections:
   - local: quickstart_spaces
     title: Train on Spaces
+  - local: quickstart_py
+    title: Python SDK
   - local: quickstart
     title: Train Locally
   - local: config
diff --git a/docs/source/quickstart.mdx b/docs/source/quickstart.mdx
index 51028cc54c..725ea67ff5 100644
--- a/docs/source/quickstart.mdx
+++ b/docs/source/quickstart.mdx
@@ -1,4 +1,4 @@
-# Quickstart
+# Quickstart Guide for Local Training
 
 This quickstart is for local installation and usage.
 If you want to use AutoTrain on Hugging Face Spaces, please refer to the *AutoTrain on Hugging Face Spaces* section.
diff --git a/docs/source/quickstart_py.mdx b/docs/source/quickstart_py.mdx
new file mode 100644
index 0000000000..9d48ec39f8
--- /dev/null
+++ b/docs/source/quickstart_py.mdx
@@ -0,0 +1,44 @@
+# Quickstart with Python
+
+Example code:
+
+```python
+import os
+
+from autotrain.params import LLMTrainingParams
+from autotrain.project import AutoTrainProject
+
+
+params = LLMTrainingParams(
+    model="meta-llama/Llama-3.2-1B-Instruct",
+    data_path="HuggingFaceH4/no_robots",
+    chat_template="tokenizer",
+    text_column="messages",
+    train_split="train",
+    trainer="sft",
+    epochs=3,
+    batch_size=1,
+    lr=1e-5,
+    peft=True,
+    quantization="int4",
+    target_modules="all-linear",
+    padding="right",
+    optimizer="paged_adamw_8bit",
+    scheduler="cosine",
+    gradient_accumulation=8,
+    mixed_precision="bf16",
+    merge_adapter=True,
+    project_name="autotrain-llama32-1b-finetune",
+    log="tensorboard",
+    push_to_hub=False,
+    username=os.environ.get("HF_USERNAME"),
+    token=os.environ.get("HF_TOKEN"),
+)
+
+
+backend = "local"
+project = AutoTrainProject(params=params, backend=backend, process=True)
+project.create()
+```
+
+[[autodoc]] project.AutoTrainProject
\ No newline at end of file