
You've made it through our course on _Tree Based Algorithms_, and we hope it gave you a lot to think about (we won't mention "branching out" again). In particular, you are now equipped with several more state-of-the-art models and the knowledge to utilise them effectively.

> A huge **Well Done** for completing this course and gaining a _rooted_ understanding in tree-based algorithms.

A few key things you now have experience in:

- You have expanded your professional's toolkit of machine learning models to deploy on your own projects.

- You have gleaned an understanding of the concepts behind these tools: ensemble models; non-parametric trees; gradient enhancement.

- You have set to work coding examples in `python`, giving you real experience of using these tools--ready for you next challenge.

- You had a good time along the way!

... but that's not the end of the story. What you have seen in this course are effective but lightweight models that hold the title of 'state-of-the-art' in their field. But where is the elephant in the room?

**Deep Neural Networks**

## What next for your ML training?

['Deep Learning 101'](/courses) with me, [Andy Corbett](https://www.linkedin.com/in/dr-andrew-corbett-427162203/)

The functionality (training, tuning, deploying) of deep learning techniques is quiet different from what you have seen here. This is why we have devoted another whole course to it.

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Many of the ideas in this course--the abstract ideas behind non-parametric modelling--inspire and fuel deep neural networks.

Information about all our courses can be found on the [course overview page on the academy website](/courses).

And we'll be keeping you posted with all the exciting activities going on at digiLab on our Linkedin @digilab.

## 🏆 Downloading your Certificate of Completion

Now it's time to share your success. If you've completed all lessons along the way, you can download your Certificate of Completion [here](/request-a-certificate). Just select your course from the dropdown menu and click the _"Request your Certificate"_ button.

This is more than just a piece of paper; it's a recognition of your hard work and new skills. We encourage you to share this certificate on [LinkedIn](https://www.linkedin.com/). Show off your accomplishment and inspire others to embark on their own learning journey.


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