diff --git a/api/api/ml.js b/api/api/ml.js
index 26f29849f..712c63d63 100644
--- a/api/api/ml.js
+++ b/api/api/ml.js
@@ -395,6 +395,43 @@ MlApi.prototype.deleteTrainedModel = function mlDeleteTrainedModelApi (params, o
   return this.transport.request(request, options, callback)
 }
 
+MlApi.prototype.deleteTrainedModelAlias = function mlDeleteTrainedModelAliasApi (params, options, callback) {
+  ;[params, options, callback] = normalizeArguments(params, options, callback)
+
+  // check required parameters
+  if (params.model_alias == null && params.modelAlias == null) {
+    const err = new this[kConfigurationError]('Missing required parameter: model_alias or modelAlias')
+    return handleError(err, callback)
+  }
+  if (params.model_id == null && params.modelId == null) {
+    const err = new this[kConfigurationError]('Missing required parameter: model_id or modelId')
+    return handleError(err, callback)
+  }
+
+  // check required url components
+  if ((params.model_alias != null || params.modelAlias != null) && ((params.model_id == null && params.modelId == null))) {
+    const err = new this[kConfigurationError]('Missing required parameter of the url: model_id')
+    return handleError(err, callback)
+  }
+
+  let { method, body, modelAlias, model_alias, modelId, model_id, ...querystring } = params
+  querystring = snakeCaseKeys(acceptedQuerystring, snakeCase, querystring)
+
+  let path = ''
+  if (method == null) method = 'DELETE'
+  path = '/' + '_ml' + '/' + 'trained_models' + '/' + encodeURIComponent(model_id || modelId) + '/' + 'model_aliases' + '/' + encodeURIComponent(model_alias || modelAlias)
+
+  // build request object
+  const request = {
+    method,
+    path,
+    body: body || '',
+    querystring
+  }
+
+  return this.transport.request(request, options, callback)
+}
+
 MlApi.prototype.estimateModelMemory = function mlEstimateModelMemoryApi (params, options, callback) {
   ;[params, options, callback] = normalizeArguments(params, options, callback)
 
@@ -1839,6 +1876,7 @@ Object.defineProperties(MlApi.prototype, {
   delete_job: { get () { return this.deleteJob } },
   delete_model_snapshot: { get () { return this.deleteModelSnapshot } },
   delete_trained_model: { get () { return this.deleteTrainedModel } },
+  delete_trained_model_alias: { get () { return this.deleteTrainedModelAlias } },
   estimate_model_memory: { get () { return this.estimateModelMemory } },
   evaluate_data_frame: { get () { return this.evaluateDataFrame } },
   explain_data_frame_analytics: { get () { return this.explainDataFrameAnalytics } },
diff --git a/api/kibana.d.ts b/api/kibana.d.ts
index 6f3cff4af..feba2a629 100644
--- a/api/kibana.d.ts
+++ b/api/kibana.d.ts
@@ -294,6 +294,7 @@ interface KibanaClient {
     deleteJob<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlDeleteJob, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
     deleteModelSnapshot<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlDeleteModelSnapshot, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
     deleteTrainedModel<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlDeleteTrainedModel, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
+    deleteTrainedModelAlias<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlDeleteTrainedModelAlias, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
     estimateModelMemory<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params?: RequestParams.MlEstimateModelMemory<TRequestBody>, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
     evaluateDataFrame<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params?: RequestParams.MlEvaluateDataFrame<TRequestBody>, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
     explainDataFrameAnalytics<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params?: RequestParams.MlExplainDataFrameAnalytics<TRequestBody>, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
diff --git a/api/requestParams.d.ts b/api/requestParams.d.ts
index 748d3d9fd..9faf5cb79 100644
--- a/api/requestParams.d.ts
+++ b/api/requestParams.d.ts
@@ -1533,6 +1533,11 @@ export interface MlDeleteTrainedModel extends Generic {
   model_id: string;
 }
 
+export interface MlDeleteTrainedModelAlias extends Generic {
+  model_alias: string;
+  model_id: string;
+}
+
 export interface MlEstimateModelMemory<T = RequestBody> extends Generic {
   body: T;
 }
diff --git a/docs/reference.asciidoc b/docs/reference.asciidoc
index 9ef51a65a..b6d627448 100644
--- a/docs/reference.asciidoc
+++ b/docs/reference.asciidoc
@@ -6376,6 +6376,27 @@ link:{ref}/delete-trained-models.html[Documentation] +
 
 |===
 
+[discrete]
+=== ml.deleteTrainedModelAlias
+*Stability:* beta
+[source,ts]
+----
+client.ml.deleteTrainedModelAlias({
+  model_alias: string,
+  model_id: string
+})
+----
+link:{ref}/delete-trained-models-aliases.html[Documentation] +
+[cols=2*]
+|===
+|`model_alias` or `modelAlias`
+|`string` - The trained model alias to delete
+
+|`model_id` or `modelId`
+|`string` - The trained model where the model alias is assigned
+
+|===
+
 [discrete]
 === ml.estimateModelMemory
 
diff --git a/index.d.ts b/index.d.ts
index 910b9ef41..0eca01c9e 100644
--- a/index.d.ts
+++ b/index.d.ts
@@ -1427,6 +1427,14 @@ declare class Client {
     deleteTrainedModel<TResponse = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
     deleteTrainedModel<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlDeleteTrainedModel, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
     deleteTrainedModel<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlDeleteTrainedModel, options: TransportRequestOptions, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
+    delete_trained_model_alias<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlDeleteTrainedModelAlias, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
+    delete_trained_model_alias<TResponse = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
+    delete_trained_model_alias<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlDeleteTrainedModelAlias, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
+    delete_trained_model_alias<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlDeleteTrainedModelAlias, options: TransportRequestOptions, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
+    deleteTrainedModelAlias<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlDeleteTrainedModelAlias, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
+    deleteTrainedModelAlias<TResponse = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
+    deleteTrainedModelAlias<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlDeleteTrainedModelAlias, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
+    deleteTrainedModelAlias<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlDeleteTrainedModelAlias, options: TransportRequestOptions, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
     estimate_model_memory<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params?: RequestParams.MlEstimateModelMemory<TRequestBody>, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
     estimate_model_memory<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
     estimate_model_memory<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params: RequestParams.MlEstimateModelMemory<TRequestBody>, callback: callbackFn<TResponse, TContext>): TransportRequestCallback