response = client.create_model_customization_job( jobName='string', customModelName='string', roleArn='string', clientRequestToken='string', baseModelIdentifier='string', customizationType='FINE_TUNING'|'CONTINUED_PRE_TRAINING', customModelKmsKeyId='string', jobTags=[ { 'key': 'string', 'value': 'string' }, ], customModelTags=[ { 'key': 'string', 'value': 'string' }, ], trainingDataConfig={ 's3Uri': 'string' }, validationDataConfig={ 'validators': [ { 's3Uri': 'string' }, ] }, outputDataConfig={ 's3Uri': 'string' }, hyperParameters={ 'string': 'string' }, vpcConfig={ 'subnetIds': [ 'string', ], 'securityGroupIds': [ 'string', ] }) 
