End-to-End MLOps Projects and Learning Materials for Your Portfolios

Exploring the projects that could take your data science skill to the next level

🔥Reading Time: 3 Minutes🔥

🔥Benefit Time: A lot of Time🔥

Recently, companies and businesses have realized how important data is and their derivate application to their business. The realization comes from how data science and machine learning have created more value compared to the past, especially with how easily we process data in modern times.

However, if we know the data, they would constantly change. This means that the data project cannot be a one-time activity, and we hope the model brings value forever.

That’s where MLOps comes in. By managing and automating the model, businesses can achieve constant values without sacrificing too much time.

Given how important MLOps is to business, the skills have become sought after, and businesses are willing to pay a lot for talented data scientists with MLOps skills. The salary range for an MLOps engineer can cross $100K annually, which is a lot.

So, let’s prepare ourselves with a collection of MLOps project portfolios and learning materials.

If you are interested, I have previously written about MLOps Basic Open-Source Tool, which you might want to check out. I will try to continue writing about it at some point.

With that in mind, let’s get into it!

MLOps Projects to Learn from

Let’s start with the project portfolios I deem beneficial. Most of them are simple and easy to follow, yet they would improve your MLOps skills.

Although, I would start with the MLOps template rather than the project itself.

👉The MLOps Cookiecutter by Chayma Zatout

So, it’s a template of the MLOps project based on Chayma's article about MLOps for beginners. Cookiecutter is an open-source package to standardize project templates. Chayma created a nice template for us to develop the MLOps structure; we only need to fill it out with all the details.

Next, I would shamelessly plug in my articles to help you learn about MLOps.

👉Simple Model Retraining Automation via GitHub Actions by Cornellius Yudha Wijaya

👉End-to-End Spam Classifier by Cornellius Yudha Wijaya

These projects would teach you hands-on how to develop data science projects with MLOps in mind. I am using open-source data that you change to your own dataset.

Also, you guys should not miss my favourite end-to-end MLOps project.

👉Build E2E CICD Pipeline with GitHub Actions, Docker, and Cloud by Ronil Patil

👉End to end machine learning: MLOps Recommendation system by Minh-Hai Tran

👉Capital Bike Share MLOps Project by Walukagga Patrick

👉Reservation Cancellation Forecasting by Jeremy Arancio

👉MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK

Those are some awesome MLOps End-to-End projects you should see and learn from.

However, some of you might want to learn the basics before creating that MLOps project.

So, here are some learning materials you should check out!

FREE MLOps Learning Material

Here are some of the best MLOps materials I know would help you upskill yourself.

🚀9-Weeks Basic MLOps Learning

It’s a 9-week MLOps study plan for you to follow. You would learn much about MLOps from Model Monitoring, Data Versioning, Model Packaging, Docker, and many more.

🚀Made with ML by Goku Mohandas

This is one of the best FREE MLOps out there. The learning material comprises various concepts and hands-on approaches to operationalizing ML workflows and integrating them with many MLOps tools.

🚀Awesome MLOps

Collection of FREE MLOps online resources. It includes YouTube, blogs, books, courses, projects, etc.

🚀MLOps Guide

Let’s return to the basics of MLOps. The guide website will take you to explore the principles and implementation of MLOps in the industry.

🚀MLOps Zoomcamp by DataTalks.Club

FREE MLOps courses with Cohort and Self-Paced teaching teach the practical aspects of productionizing ML services—from training and experimenting to model deployment and monitoring. They’re targeted at beginners and professionals who want to upskill themselves.

🚀 DTU-MLOps

The Technical University of Denmark, or DTU, offers an amazing course about MLOps, and they share the material for FREE! The course covers all the basics you need for MLOps.

That’s all for the Learning Material. I hope your MLOps journey is going strong🔥!

What do you think? Do you want me to write more about the MLOps content even deeper? Share and discuss it together in the comment below.👇

---

Articles to Read

Here are some of my latest articles you might miss this week.

• Speeding Up Your Python Code with NumPy in KDnuggets

• Creating Ideal Data Scientist from Scratch

🤩Also, here are some of my favorite readings of the week.

• My Success Secrets: Turning Small Moves Into Big Outcomes by

  Vin Vashishta

• Understanding Hugging Face - The AI Community's Open-Source Oasis 🤗🏝️ by

  Josep Ferrer

• New LLM Pre-training and Post-training Paradigms by

  Sebastian Raschka, PhD

• The 10-Minute Habit That Transformed My Tech Leadership by

  Tyler Folkman

Cheers!

---

Personal Notes

If you know me, I am an avid gamer (from console, arcade, to board games, I am into everything). In my spare time, I often spend time finishing my long list of RPG games.

And you know what? I am proud to finish my first Baldur’s Gate 3 Playthrough after 100+ hours spent on the game. I know the game has been released since last year, but what is important is the feeling of concluding the story.

I don’t know how many subscribers here are playing games on the console or PC, but I don’t mind as well if you guys want to discuss the game.

---