diff --git a/config.yaml b/config.yaml
index 2b58cbd..481c2c4 100644
--- a/config.yaml
+++ b/config.yaml
@@ -63,6 +63,7 @@ episodes:
 - profiling-introduction.md
 - profiling-functions.md
 - profiling-lines.md
+- profiling-conclusion.md
 
 # Information for Learners
 learners: 
diff --git a/episodes/profiling-conclusion.md b/episodes/profiling-conclusion.md
new file mode 100644
index 0000000..4d54b40
--- /dev/null
+++ b/episodes/profiling-conclusion.md
@@ -0,0 +1,55 @@
+---
+title: "Profiling Conclusion"
+teaching: 0
+exercises: 0
+---
+<!--
+:::::::::::::::::::::::::::::::::::::: questions
+
+- Lorem ipsum
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+-->
+
+::::::::::::::::::::::::::::::::::::: objectives
+
+- Review what has been learned about profiling
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+
+This concludes the profiling portion of the course.
+
+`cProfile`, `snakeviz` and `line_profiler` have been introduced, these are some of the most accessible Python profiling tools.
+
+With these transferable skills, if necessary, you should be able to follow documentation to use more advanced Python profiling tools such as [`scalene`](https://github.com/plasma-umass/scalene).
+
+::::::::::::::::::::::::::::::::::::: keypoints
+
+What profiling is:
+
+- The collection and analysis of metrics relating to the performance of a program during execution .
+
+Why programmers can benefit from profiling:
+
+- Narrows down the costly areas of code, allowing optimisation to be prioritised or decided to be unnecessary.
+
+When to Profile:
+
+- Profiling should be performed on functional code, either when concerned about performance or prior to release/deployment.
+
+What to Profile:
+
+- The collection of profiling metrics will often slow the execution of code, therefore the test-case should be narrow whilst remaining representative of a realistic run.
+
+How to function-level profile:
+
+- Execute `cProfile` via `python -m cProfile -o <output file> <script name/arguments>`
+- Execute `snakeviz` via `python -m snakeviz <output file>`
+
+How to line-level profile:
+
+- Import `profile` from `line_profiling`
+- Decorate targeted methods with `@profile`
+- Execute `line_profiler` via `python -m kernprof -lvr <script name/arguments>`
+
+::::::::::::::::::::::::::::::::::::::::::::::::