This environment is for
Kearney employees only.
Sign in with your Kearney credentials to continue.
Access issues? Contact sandbox-support@kearneyco.com
Onboarding

Getting into the sandbox and using Bedrock from Studio

Onboarding for new sandbox developers. AWS sandbox account 160244694692. Sign in to this site with your Kearney credentials, then follow the steps below for your IAM console access.

Start here

The sandbox team should have sent you an IAM username, a temporary console password, and maybe access keys. There is no separate “Bedrock login.” You call Bedrock from a SageMaker Studio notebook after you sign into AWS.

Sign-in cheat sheet

ItemValue
Account ID160244694692
Console URLhttps://160244694692.signin.aws.amazon.com/console
Sign-in typeIAM user (not root, not your email by itself)
UsernameLetters and numbers only (no dots or dashes), e.g. jsmith
Studio profilekearney-sandbox- plus the same username, e.g. kearney-sandbox-jsmith
Regionus-east-1 (N. Virginia)
Watch out

Your Kearney email is not your AWS username. Sign in with the IAM username on your credential sheet exactly as written there.

Sign in to AWS

1

Open the console

Go to the account sign-in page. Pick IAM user if AWS asks.

2

Log in with the temp password

Enter your IAM username and the temporary password from the sandbox team. AWS will make you pick a new password right away.

3

Set MFA if asked

Follow the on-screen password rules. If MFA is required, set it up with an authenticator app on your phone.

4

Check the region

Top right of the console should say US East (N. Virginia) / us-east-1.

Open SageMaker Studio

5

Find SageMaker

Search for SageMaker in the console, open it, then click Studio in the left menu.

6

Open your profile

Look for kearney-sandbox-<your-username> (same username you used to sign in) and click Open Studio. First load often takes a minute or two.

7

Start a notebook

Open JupyterLab or an existing notebook. Use a Python 3 kernel.

Try Bedrock in a notebook

Studio runs under a sandbox role that already has Bedrock access. You do not need another password or API key in the notebook.

Models you can use

Nova, Titan, Llama, Mistral, and Cohere. Claude is blocked in this account on purpose. If you hit access denied on anthropic.claude-*, switch to one of the models above.

Paste this into a cell to sanity-check Nova Lite:

import boto3

client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="amazon.nova-lite-v1:0",
    messages=[{"role": "user", "content": [{"text": "Say hello in one sentence."}]}],
)
print(response["output"]["message"]["content"][0]["text"])

If you get a reply, Bedrock is working. More detail is in the Bedrock guide.

When something breaks

What you seeUsually meansTry this
Can't sign in Wrong username or old temp password Use the IAM username only; ask sandbox-support for a new temp password
No Studio profile Profile missing or wrong name Confirm kearney-sandbox-<username> exists with the sandbox team
Access denied on Claude Model not allowed here Use Nova, Titan, Llama, Mistral, or Cohere
Bedrock Playground in the console We don't use the console UI for prompts Run Bedrock from Studio with boto3, as above
Need help?

Email sandbox-support@kearneyco.com. Send your IAM username, which step you were on, and the error text (a screenshot is fine).