Vertex Ai issue when deploying a model using Java

This is what I use to deploy an Auto-ML model:

            MachineSpec machineSpec = MachineSpec.newBuilder().setMachineType("n1-standard-2").build();
            DedicatedResources dedicatedResources =
                    DedicatedResources.newBuilder().setMinReplicaCount(1).setMachineSpec(machineSpec).build();            
            String model = ModelName.of(project, location, modelId).toString();
            DeployedModel deployedModel =
                    DeployedModel.newBuilder()
                            .setModel(model)
                            .setDisplayName(deployedModelDisplayName)
                            .setDedicatedResources(dedicatedResources)
                            .build();
            Map<String, Integer> trafficSplit = new HashMap<>();
            trafficSplit.put("0", 100);
            EndpointName endpoint = EndpointName.of(project, location, endpointId);
            OperationFuture<DeployModelResponse, DeployModelOperationMetadata> response =
                    client.deployModelAsync(endpoint, deployedModel, trafficSplit);
            response.getInitialFuture().get().getName());

The error appears when I hit this line response.getInitialFuture().get().getName());

Here is the error: INVALID_ARGUMENT: 'dedicated_resources' is not supported for Model projects/***/locations/us-central1/models/***

I can deploy the model using cloud console but not programmatically using java 8. It is a new model and the endpoint is also new without any assigned model to it.

I am sorry everyone, I was implementing the wrong section of the documentation. I had to follow AutoML image, not Custom-trained one.