diff --git a/litellm/llms/fine_tuning_apis/azure.py b/litellm/llms/fine_tuning_apis/azure.py
new file mode 100644
index 0000000000..6c32e2ac78
--- /dev/null
+++ b/litellm/llms/fine_tuning_apis/azure.py
@@ -0,0 +1,178 @@
+from typing import Any, Coroutine, Optional, Union
+
+import httpx
+from openai import AsyncAzureOpenAI, AzureOpenAI
+from openai.pagination import AsyncCursorPage
+from openai.types.fine_tuning import FineTuningJob
+
+from litellm._logging import verbose_logger
+from litellm.llms.base import BaseLLM
+from litellm.llms.files_apis.azure import get_azure_openai_client
+from litellm.types.llms.openai import FineTuningJobCreate
+
+
+class AzureOpenAIFineTuningAPI(BaseLLM):
+    """
+    AzureOpenAI methods to support for batches
+    """
+
+    def __init__(self) -> None:
+        super().__init__()
+
+    async def acreate_fine_tuning_job(
+        self,
+        create_fine_tuning_job_data: FineTuningJobCreate,
+        openai_client: AsyncAzureOpenAI,
+    ) -> FineTuningJob:
+        response = await openai_client.fine_tuning.jobs.create(
+            **create_fine_tuning_job_data  # type: ignore
+        )
+        return response
+
+    def create_fine_tuning_job(
+        self,
+        _is_async: bool,
+        create_fine_tuning_job_data: FineTuningJobCreate,
+        api_key: Optional[str],
+        api_base: Optional[str],
+        timeout: Union[float, httpx.Timeout],
+        max_retries: Optional[int],
+        organization: Optional[str] = None,
+        client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
+        api_version: Optional[str] = None,
+    ) -> Union[FineTuningJob, Union[Coroutine[Any, Any, FineTuningJob]]]:
+        openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
+            get_azure_openai_client(
+                api_key=api_key,
+                api_base=api_base,
+                timeout=timeout,
+                max_retries=max_retries,
+                organization=organization,
+                api_version=api_version,
+                client=client,
+                _is_async=_is_async,
+            )
+        )
+        if openai_client is None:
+            raise ValueError(
+                "AzureOpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
+            )
+
+        if _is_async is True:
+            if not isinstance(openai_client, AsyncAzureOpenAI):
+                raise ValueError(
+                    "AzureOpenAI client is not an instance of AsyncAzureOpenAI. Make sure you passed an AsyncAzureOpenAI client."
+                )
+            return self.acreate_fine_tuning_job(  # type: ignore
+                create_fine_tuning_job_data=create_fine_tuning_job_data,
+                openai_client=openai_client,
+            )
+        verbose_logger.debug(
+            "creating fine tuning job, args= %s", create_fine_tuning_job_data
+        )
+        response = openai_client.fine_tuning.jobs.create(**create_fine_tuning_job_data)  # type: ignore
+        return response
+
+    async def acancel_fine_tuning_job(
+        self,
+        fine_tuning_job_id: str,
+        openai_client: AsyncAzureOpenAI,
+    ) -> FineTuningJob:
+        response = await openai_client.fine_tuning.jobs.cancel(
+            fine_tuning_job_id=fine_tuning_job_id
+        )
+        return response
+
+    def cancel_fine_tuning_job(
+        self,
+        _is_async: bool,
+        fine_tuning_job_id: str,
+        api_key: Optional[str],
+        api_base: Optional[str],
+        timeout: Union[float, httpx.Timeout],
+        max_retries: Optional[int],
+        organization: Optional[str],
+        client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
+    ):
+        openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
+            get_azure_openai_client(
+                api_key=api_key,
+                api_base=api_base,
+                timeout=timeout,
+                max_retries=max_retries,
+                organization=organization,
+                client=client,
+                _is_async=_is_async,
+            )
+        )
+        if openai_client is None:
+            raise ValueError(
+                "AzureOpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
+            )
+
+        if _is_async is True:
+            if not isinstance(openai_client, AsyncAzureOpenAI):
+                raise ValueError(
+                    "AzureOpenAI client is not an instance of AsyncAzureOpenAI. Make sure you passed an AsyncAzureOpenAI client."
+                )
+            return self.acancel_fine_tuning_job(  # type: ignore
+                fine_tuning_job_id=fine_tuning_job_id,
+                openai_client=openai_client,
+            )
+        verbose_logger.debug("canceling fine tuning job, args= %s", fine_tuning_job_id)
+        response = openai_client.fine_tuning.jobs.cancel(
+            fine_tuning_job_id=fine_tuning_job_id
+        )
+        return response
+
+    async def alist_fine_tuning_jobs(
+        self,
+        openai_client: AsyncAzureOpenAI,
+        after: Optional[str] = None,
+        limit: Optional[int] = None,
+    ):
+        response = await openai_client.fine_tuning.jobs.list(after=after, limit=limit)  # type: ignore
+        return response
+
+    def list_fine_tuning_jobs(
+        self,
+        _is_async: bool,
+        api_key: Optional[str],
+        api_base: Optional[str],
+        timeout: Union[float, httpx.Timeout],
+        max_retries: Optional[int],
+        organization: Optional[str],
+        client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
+        after: Optional[str] = None,
+        limit: Optional[int] = None,
+    ):
+        openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
+            get_azure_openai_client(
+                api_key=api_key,
+                api_base=api_base,
+                timeout=timeout,
+                max_retries=max_retries,
+                organization=organization,
+                client=client,
+                _is_async=_is_async,
+            )
+        )
+        if openai_client is None:
+            raise ValueError(
+                "AzureOpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
+            )
+
+        if _is_async is True:
+            if not isinstance(openai_client, AsyncAzureOpenAI):
+                raise ValueError(
+                    "AzureOpenAI client is not an instance of AsyncAzureOpenAI. Make sure you passed an AsyncAzureOpenAI client."
+                )
+            return self.alist_fine_tuning_jobs(  # type: ignore
+                after=after,
+                limit=limit,
+                openai_client=openai_client,
+            )
+        verbose_logger.debug("list fine tuning job, after= %s, limit= %s", after, limit)
+        response = openai_client.fine_tuning.jobs.list(after=after, limit=limit)  # type: ignore
+        return response
+        pass