diff --git a/rllib/examples/two_trainer_workflow.py b/rllib/examples/two_trainer_workflow.py
index a9a525809598f..58ae217898d94 100644
--- a/rllib/examples/two_trainer_workflow.py
+++ b/rllib/examples/two_trainer_workflow.py
@@ -173,14 +173,20 @@ def training_step(self) -> ResultDict:
             # Provide entire AlgorithmConfig object, not just an override.
             PPOConfig()
             .training(num_sgd_iter=10, sgd_minibatch_size=128)
-            .framework("torch" if args.torch or args.mixed_torch_tf else "tf"),
+            .framework("torch" if args.torch or args.mixed_torch_tf else "tf")
+            .training(_enable_learner_api=False)
+            .rl_module(_enable_rl_module_api=False),
         ),
         "dqn_policy": (
             DQNTorchPolicy if args.torch else DQNTFPolicy,
             None,
             None,
             # Provide entire AlgorithmConfig object, not just an override.
-            DQNConfig().training(target_network_update_freq=500).framework("tf"),
+            DQNConfig()
+            .training(target_network_update_freq=500)
+            .framework("tf")
+            .training(_enable_learner_api=False)
+            .rl_module(_enable_rl_module_api=False),
         ),
     }
 
@@ -199,6 +205,9 @@ def policy_mapping_fn(agent_id, episode, worker, **kwargs):
         # Use GPUs iff `RLLIB_NUM_GPUS` env var set to > 0.
         .resources(num_gpus=int(os.environ.get("RLLIB_NUM_GPUS", "0")))
         .reporting(metrics_num_episodes_for_smoothing=30)
+        # TODO (Kourosh):  Migrate this to the new RLModule / Learner API.
+        .training(_enable_learner_api=False)
+        .rl_module(_enable_rl_module_api=False)
     )
 
     stop = {