diff --git a/tutorial/training/lfric/4.2/openmp.py b/tutorial/training/lfric/4.2/openmp.py
index 3d9b9931af..5fc8e26f30 100644
--- a/tutorial/training/lfric/4.2/openmp.py
+++ b/tutorial/training/lfric/4.2/openmp.py
@@ -47,13 +47,11 @@
 
 def trans(psy):
     '''
-    Take the supplied psy object, and fuse the first two loops
+    Take the supplied psy object, add openmp directives
 
     :param psy: the PSy layer to transform.
     :type psy: :py:class:`psyclone.psyGen.PSy`
 
-    :returns: the transformed PSy object.
-    :rtype: :py:class:`psyclone.psyGen.PSy`
 
     '''
     omp_parallel = OMPParallelTrans()
diff --git a/tutorial/training/lfric/4.4/README.md b/tutorial/training/lfric/4.4/README.md
index ef2b3ea64b..b22acbe0c6 100644
--- a/tutorial/training/lfric/4.4/README.md
+++ b/tutorial/training/lfric/4.4/README.md
@@ -25,10 +25,8 @@ Running PSyclone with the OpenMP transformation script:
 
 
 ## Hands-on
-First of all, the kernel needs to be completed. All the meta-data, subroutine declaration
-and even loops are already there, but you still need to add the computation. Once this is
-done, you can run `make compile` to compile and link your example and execute it. The
-output should be:
+Use the 
+
 
     Mesh has           5 layers.
     20240917233109.668+1000:INFO : Min/max minmax of field_3 =   0.80000000E+01  0.80000000E+01