diff --git a/python/.cspell.json b/python/.cspell.json
index d236099b5943..1a99593354f1 100644
--- a/python/.cspell.json
+++ b/python/.cspell.json
@@ -51,6 +51,7 @@
         "nopep",
         "NOSQL",
         "ollama",
+        "Onnx",
         "onyourdatatest",
         "OPENAI",
         "opentelemetry",
diff --git a/python/samples/concepts/agents/bedrock_agent/README.md b/python/samples/concepts/agents/bedrock_agent/README.md
index ea731c4e29c8..3e72751eb308 100644
--- a/python/samples/concepts/agents/bedrock_agent/README.md
+++ b/python/samples/concepts/agents/bedrock_agent/README.md
@@ -5,6 +5,37 @@
 1. You need to have an AWS account and [access to the foundation models](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access-permissions.html)
 2. [AWS CLI installed](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) and [configured](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html#configuration)
 
+### Configuration
+
+Follow this [guide](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html#configuration) to configure your environment to use the Bedrock API.
+
+Please configure the `aws_access_key_id`, `aws_secret_access_key`, and `region` otherwise you will need to create custom clients for the services. For example:
+
+```python
+runtime_client=boto.client(
+    "bedrock-runtime",
+    aws_access_key_id="your_access_key",
+    aws_secret_access_key="your_secret_key",
+    region_name="your_region",
+    [...other parameters you may need...]
+)
+client=boto.client(
+    "bedrock",
+    aws_access_key_id="your_access_key",
+    aws_secret_access_key="your_secret_key",
+    region_name="your_region",
+    [...other parameters you may need...]
+)
+
+bedrock_agent = BedrockAgent.create_and_prepare_agent(
+    name="your_agent_name",
+    instructions="your_instructions",
+    runtime_client=runtime_client,
+    client=client,
+    [...other parameters you may need...]
+)
+```
+
 ## Samples
 
 | Sample | Description |
diff --git a/python/samples/concepts/setup/ALL_SETTINGS.md b/python/samples/concepts/setup/ALL_SETTINGS.md
index 1f2536ad4738..4deba2610935 100644
--- a/python/samples/concepts/setup/ALL_SETTINGS.md
+++ b/python/samples/concepts/setup/ALL_SETTINGS.md
@@ -1,4 +1,6 @@
-## AI Service Settings used across SK:
+# Semantic Kernel Settings
+
+## AI Service Settings used across SK
 
 | Provider | Service | Constructor Settings | Environment Variable | Required? | Settings Class |
 | --- | --- | --- | --- | --- | --- |
@@ -36,7 +38,7 @@
 | Onnx | [OnnxGenAIChatCompletion](../../../semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_chat_completion.py) | template, <br> ai_model_path | N/A, <br> ONNX_GEN_AI_CHAT_MODEL_FOLDER | Yes, <br> Yes | [OnnxGenAISettings](../../../semantic_kernel/connectors/ai/onnx/onnx_gen_ai_settings.py) |
 |  | [OnnxGenAITextCompletion](../../../semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_text_completion.py) | ai_model_path | ONNX_GEN_AI_TEXT_MODEL_FOLDER | Yes |  |
 
-## Memory Service Settings used across SK:
+## Memory Service Settings used across SK
 
 | Provider | Service | Constructor Settings | Environment Variable | Required? | Settings Class |
 | --- | --- | --- | --- | --- | --- |
@@ -49,7 +51,7 @@
 | Redis | [RedisMemoryService](../../../semantic_kernel/connectors/memory/redis/redis_memory_store.py) | connection_string | REDIS_CONNECTION_STRING | Yes | [RedisSettings](../../../semantic_kernel/connectors/memory/redis/redis_settings.py) |
 | Weaviate | [WeaviateMemoryService](../../../semantic_kernel/connectors/memory/weaviate/weaviate_memory_store.py) | url, <br> api_key, <br> use_embed | WEAVIATE_URL, <br> WEAVIATE_API_KEY, <br> WEAVIATE_USE_EMBED | No, <br> No, <br> No | [WeaviateSettings](../../../semantic_kernel/connectors/memory/weaviate/weaviate_settings.py) |
 
-## Other settings used:
+## Other settings used
 
 | Provider | Service | Constructor Settings | Environment Variable | Required? | Settings Class |
 | --- | --- | --- | --- | --- | --- |
diff --git a/python/semantic_kernel/connectors/ai/README.md b/python/semantic_kernel/connectors/ai/README.md
index 997a33427c65..bad47044b835 100644
--- a/python/semantic_kernel/connectors/ai/README.md
+++ b/python/semantic_kernel/connectors/ai/README.md
@@ -3,6 +3,7 @@
 This directory contains the implementation of the AI connectors (aka AI services) that are used to interact with AI models.
 
 Depending on the modality, the AI connector can inherit from one of the following classes:
+
 - [`ChatCompletionClientBase`](./chat_completion_client_base.py) for chat completion tasks.
 - [`TextCompletionClientBase`](./text_completion_client_base.py) for text completion tasks.
 - [`AudioToTextClientBase`](./audio_to_text_client_base.py) for audio to text tasks.
@@ -10,7 +11,6 @@ Depending on the modality, the AI connector can inherit from one of the followin
 - [`TextToImageClientBase`](./text_to_image_client_base.py) for text to image tasks.
 - [`EmbeddingGeneratorBase`](./embeddings/embedding_generator_base.py) for text embedding tasks.
 
-
 All base clients inherit from the [`AIServiceClientBase`](../../services/ai_service_client_base.py) class.
 
 ## Existing AI connectors
diff --git a/python/semantic_kernel/connectors/ai/bedrock/README.md b/python/semantic_kernel/connectors/ai/bedrock/README.md
index 9f48879b54cb..bc9461aef7e8 100644
--- a/python/semantic_kernel/connectors/ai/bedrock/README.md
+++ b/python/semantic_kernel/connectors/ai/bedrock/README.md
@@ -11,6 +11,27 @@
 
 Follow this [guide](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html#configuration) to configure your environment to use the Bedrock API.
 
+Please configure the `aws_access_key_id`, `aws_secret_access_key`, and `region` otherwise you will need to create custom clients for the services. For example:
+
+```python
+runtime_client=boto.client(
+    "bedrock-runtime",
+    aws_access_key_id="your_access_key",
+    aws_secret_access_key="your_secret_key",
+    region_name="your_region",
+    [...other parameters you may need...]
+)
+client=boto.client(
+    "bedrock",
+    aws_access_key_id="your_access_key",
+    aws_secret_access_key="your_secret_key",
+    region_name="your_region",
+    [...other parameters you may need...]
+)
+
+bedrock_chat_completion_service = BedrockChatCompletion(runtime_client=runtime_client, client=client)
+```
+
 ## Supports
 
 ### Region
diff --git a/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_base.py b/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_base.py
index 22bb30c60d6a..3457d9fee1a5 100644
--- a/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_base.py
+++ b/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_base.py
@@ -4,6 +4,8 @@
 from functools import partial
 from typing import Any, ClassVar
 
+import boto3
+
 from semantic_kernel.kernel_pydantic import KernelBaseModel
 from semantic_kernel.utils.async_utils import run_in_executor
 
@@ -19,6 +21,26 @@ class BedrockBase(KernelBaseModel, ABC):
     # Client: Use for model management
     bedrock_client: Any
 
+    def __init__(
+        self,
+        *,
+        runtime_client: Any | None = None,
+        client: Any | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Initialize the Amazon Bedrock Base Class.
+
+        Args:
+            runtime_client: The Amazon Bedrock runtime client to use.
+            client: The Amazon Bedrock client to use.
+            **kwargs: Additional keyword arguments.
+        """
+        super().__init__(
+            bedrock_runtime_client=runtime_client or boto3.client("bedrock-runtime"),
+            bedrock_client=client or boto3.client("bedrock"),
+            **kwargs,
+        )
+
     async def get_foundation_model_info(self, model_id: str) -> dict[str, Any]:
         """Get the foundation model information."""
         response = await run_in_executor(
diff --git a/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_chat_completion.py b/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_chat_completion.py
index a65034fa1d49..9266823e0988 100644
--- a/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_chat_completion.py
+++ b/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_chat_completion.py
@@ -5,8 +5,6 @@
 from functools import partial
 from typing import TYPE_CHECKING, Any, ClassVar
 
-import boto3
-
 if sys.version_info >= (3, 12):
     from typing import override  # pragma: no cover
 else:
@@ -95,8 +93,8 @@ def __init__(
         super().__init__(
             ai_model_id=bedrock_settings.chat_model_id,
             service_id=service_id or bedrock_settings.chat_model_id,
-            bedrock_runtime_client=runtime_client or boto3.client("bedrock-runtime"),
-            bedrock_client=client or boto3.client("bedrock"),
+            runtime_client=runtime_client,
+            client=client,
         )
 
     # region Overriding base class methods
diff --git a/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_text_completion.py b/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_text_completion.py
index e1335f2d01cc..d690a3aeb644 100644
--- a/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_text_completion.py
+++ b/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_text_completion.py
@@ -6,7 +6,6 @@
 from functools import partial
 from typing import TYPE_CHECKING, Any
 
-import boto3
 from pydantic import ValidationError
 
 if sys.version_info >= (3, 12):
@@ -73,8 +72,8 @@ def __init__(
         super().__init__(
             ai_model_id=bedrock_settings.text_model_id,
             service_id=service_id or bedrock_settings.text_model_id,
-            bedrock_runtime_client=runtime_client or boto3.client("bedrock-runtime"),
-            bedrock_client=client or boto3.client("bedrock"),
+            runtime_client=runtime_client,
+            client=client,
         )
 
     # region Overriding base class methods
diff --git a/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_text_embedding.py b/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_text_embedding.py
index 7fe759f1c0be..72224726acec 100644
--- a/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_text_embedding.py
+++ b/python/semantic_kernel/connectors/ai/bedrock/services/bedrock_text_embedding.py
@@ -6,7 +6,6 @@
 from functools import partial
 from typing import TYPE_CHECKING, Any
 
-import boto3
 from numpy import array, ndarray
 from pydantic import ValidationError
 
@@ -70,8 +69,8 @@ def __init__(
         super().__init__(
             ai_model_id=bedrock_settings.embedding_model_id,
             service_id=service_id or bedrock_settings.embedding_model_id,
-            bedrock_runtime_client=runtime_client or boto3.client("bedrock-runtime"),
-            bedrock_client=client or boto3.client("bedrock"),
+            runtime_client=runtime_client,
+            client=client,
         )
 
     @override
diff --git a/python/tests/integration/completions/chat_completion_test_base.py b/python/tests/integration/completions/chat_completion_test_base.py
index b5bf42111283..890298556605 100644
--- a/python/tests/integration/completions/chat_completion_test_base.py
+++ b/python/tests/integration/completions/chat_completion_test_base.py
@@ -67,8 +67,6 @@
     ["ONNX_GEN_AI_CHAT_MODEL_FOLDER"], raise_if_not_set=False
 )  # Tests are optional for ONNX
 anthropic_setup: bool = is_service_setup_for_testing(["ANTHROPIC_API_KEY", "ANTHROPIC_CHAT_MODEL_ID"])
-# When testing Bedrock, after logging into AWS CLI this has been set, so we can use it to check if the service is setup
-bedrock_setup: bool = is_service_setup_for_testing(["AWS_DEFAULT_REGION"], raise_if_not_set=False)
 
 
 # A mock plugin that contains a function that returns a complex object.
@@ -90,7 +88,9 @@ class ChatCompletionTestBase(CompletionTestBase):
     """Base class for testing completion services."""
 
     @override
-    @pytest.fixture(scope="function")
+    @pytest.fixture(
+        scope="function"
+    )  # This needs to be scoped to function to avoid resources getting cleaned up after each test
     def services(self) -> dict[str, tuple[ServiceType | None, type[PromptExecutionSettings] | None]]:
         azure_openai_setup = True
         azure_openai_settings = AzureOpenAISettings.create()
@@ -152,27 +152,27 @@ def services(self) -> dict[str, tuple[ServiceType | None, type[PromptExecutionSe
                 OnnxGenAIPromptExecutionSettings,
             ),
             "bedrock_amazon_titan": (
-                BedrockChatCompletion(model_id="amazon.titan-text-premier-v1:0") if bedrock_setup else None,
+                self._try_create_bedrock_chat_completion_client("amazon.titan-text-premier-v1:0"),
                 BedrockChatPromptExecutionSettings,
             ),
             "bedrock_ai21labs": (
-                BedrockChatCompletion(model_id="ai21.jamba-1-5-mini-v1:0") if bedrock_setup else None,
+                self._try_create_bedrock_chat_completion_client("ai21.jamba-1-5-mini-v1:0"),
                 BedrockChatPromptExecutionSettings,
             ),
             "bedrock_anthropic_claude": (
-                BedrockChatCompletion(model_id="anthropic.claude-3-5-sonnet-20240620-v1:0") if bedrock_setup else None,
+                self._try_create_bedrock_chat_completion_client("anthropic.claude-3-5-sonnet-20240620-v1:0"),
                 BedrockChatPromptExecutionSettings,
             ),
             "bedrock_cohere_command": (
-                BedrockChatCompletion(model_id="cohere.command-r-v1:0") if bedrock_setup else None,
+                self._try_create_bedrock_chat_completion_client("cohere.command-r-v1:0"),
                 BedrockChatPromptExecutionSettings,
             ),
             "bedrock_meta_llama": (
-                BedrockChatCompletion(model_id="meta.llama3-70b-instruct-v1:0") if bedrock_setup else None,
+                self._try_create_bedrock_chat_completion_client("meta.llama3-70b-instruct-v1:0"),
                 BedrockChatPromptExecutionSettings,
             ),
             "bedrock_mistralai": (
-                BedrockChatCompletion(model_id="mistral.mistral-small-2402-v1:0") if bedrock_setup else None,
+                self._try_create_bedrock_chat_completion_client("mistral.mistral-small-2402-v1:0"),
                 BedrockChatPromptExecutionSettings,
             ),
         }
@@ -218,3 +218,13 @@ async def get_chat_completion_response(
         if parts:
             return sum(parts[1:], parts[0])
         raise AssertionError("No response")
+
+    def _try_create_bedrock_chat_completion_client(self, model_id: str) -> BedrockChatCompletion | None:
+        try:
+            return BedrockChatCompletion(model_id=model_id)
+        except Exception as ex:
+            from conftest import logger
+
+            logger.warning(ex)
+            # Returning None so that the test that uses this service will be skipped
+            return None
diff --git a/python/tests/integration/completions/test_chat_completions.py b/python/tests/integration/completions/test_chat_completions.py
index 937584957bff..f0e9a4fdb5ea 100644
--- a/python/tests/integration/completions/test_chat_completions.py
+++ b/python/tests/integration/completions/test_chat_completions.py
@@ -18,7 +18,6 @@
 from tests.integration.completions.chat_completion_test_base import (
     ChatCompletionTestBase,
     anthropic_setup,
-    bedrock_setup,
     mistral_ai_setup,
     ollama_setup,
     onnx_setup,
@@ -190,7 +189,6 @@ class Reasoning(KernelBaseModel):
                 ChatMessageContent(role=AuthorRole.USER, items=[TextContent(text="How are you today?")]),
             ],
             {},
-            marks=pytest.mark.skipif(not bedrock_setup, reason="Bedrock Environment Variables not set"),
             id="bedrock_amazon_titan_text_input",
         ),
         pytest.param(
diff --git a/python/tests/integration/completions/test_text_completion.py b/python/tests/integration/completions/test_text_completion.py
index ca0844cee59f..c2e1e06d523a 100644
--- a/python/tests/integration/completions/test_text_completion.py
+++ b/python/tests/integration/completions/test_text_completion.py
@@ -45,7 +45,6 @@
 onnx_setup: bool = is_service_setup_for_testing(
     ["ONNX_GEN_AI_TEXT_MODEL_FOLDER"], raise_if_not_set=False
 )  # Tests are optional for ONNX
-bedrock_setup = is_service_setup_for_testing(["AWS_DEFAULT_REGION"], raise_if_not_set=False)
 
 pytestmark = pytest.mark.parametrize(
     "service_id, execution_settings_kwargs, inputs, kwargs",
@@ -138,7 +137,6 @@
             {},
             ["Repeat the word Hello once"],
             {},
-            marks=pytest.mark.skipif(not bedrock_setup, reason="Not setup"),
             id="bedrock_amazon_titan_text_completion",
         ),
         pytest.param(
@@ -255,27 +253,27 @@ def services(self) -> dict[str, tuple[ServiceType | None, type[PromptExecutionSe
             # Amazon Bedrock supports models from multiple providers but requests to and responses from the models are
             # inconsistent. So we need to test each model separately.
             "bedrock_amazon_titan": (
-                BedrockTextCompletion(model_id="amazon.titan-text-premier-v1:0") if bedrock_setup else None,
+                self._try_create_bedrock_text_completion_client("amazon.titan-text-premier-v1:0"),
                 BedrockTextPromptExecutionSettings,
             ),
             "bedrock_anthropic_claude": (
-                BedrockTextCompletion(model_id="anthropic.claude-v2") if bedrock_setup else None,
+                self._try_create_bedrock_text_completion_client("anthropic.claude-v2"),
                 BedrockTextPromptExecutionSettings,
             ),
             "bedrock_cohere_command": (
-                BedrockTextCompletion(model_id="cohere.command-text-v14") if bedrock_setup else None,
+                self._try_create_bedrock_text_completion_client("cohere.command-text-v14"),
                 BedrockTextPromptExecutionSettings,
             ),
             "bedrock_ai21labs": (
-                BedrockTextCompletion(model_id="ai21.j2-mid-v1") if bedrock_setup else None,
+                self._try_create_bedrock_text_completion_client("ai21.j2-mid-v1"),
                 BedrockTextPromptExecutionSettings,
             ),
             "bedrock_meta_llama": (
-                BedrockTextCompletion(model_id="meta.llama3-70b-instruct-v1:0") if bedrock_setup else None,
+                self._try_create_bedrock_text_completion_client("meta.llama3-70b-instruct-v1:0"),
                 BedrockTextPromptExecutionSettings,
             ),
             "bedrock_mistralai": (
-                BedrockTextCompletion(model_id="mistral.mistral-7b-instruct-v0:2") if bedrock_setup else None,
+                self._try_create_bedrock_text_completion_client("mistral.mistral-7b-instruct-v0:2"),
                 BedrockTextPromptExecutionSettings,
             ),
         }
@@ -373,3 +371,13 @@ async def _test_helper(
                 name="text completions",
             )
             self.evaluate(response)
+
+    def _try_create_bedrock_text_completion_client(self, model_id: str) -> BedrockTextCompletion | None:
+        try:
+            return BedrockTextCompletion(model_id=model_id)
+        except Exception as ex:
+            from conftest import logger
+
+            logger.warning(ex)
+            # Returning None so that the test that uses this service will be skipped
+            return None