Enroll Course: https://www.coursera.org/learn/mlops-mlflow-huggingface-duke

Introduction

In the rapidly evolving field of data science and machine learning, understanding MLOps (Machine Learning Operations) has never been more crucial. The online course MLOps Tools: MLflow and Hugging Face on Coursera is designed to provide you with the essential tools and techniques needed to manage machine learning workflows efficiently.

Course Overview

This course serves as a comprehensive introduction to two of the leading open-source platforms for MLOps: MLflow and Hugging Face. Whether you’re a beginner taking your first step into machine learning operations or an experienced practitioner looking to expand your skillset, this course will guide you through the critical components of these platforms.

Syllabus Breakdown

The course is thoughtfully structured into four main sections that focus on both MLflow and Hugging Face:

  1. Introduction to MLflow: You will kick off your learning by installing MLflow and performing basic operations such as registering runs, models, and artifacts. This section also introduces you to creating MLflow projects, which are essential for achieving reproducible results.
  2. Introduction to Hugging Face: Next, you will dive into the foundations of the Hugging Face platform. This section covers how to use its repositories for storing models and datasets, as well as how to interact with them via APIs.
  3. Deploying Hugging Face: In this part, the focus shifts to deploying models. You will learn how to containerize Hugging Face models using the FastAPI framework and automate the deployment process. This hands-on approach equips you with real-world skills for managing machine learning models.
  4. Applied Hugging Face: Lastly, you’ll delve into the practical applications of Hugging Face models. This week emphasizes fine-tuning existing models and deploying them effectively on platforms like Azure. Additionally, you will gain insights into troubleshooting deployment issues.

Conclusion

The MLOps Tools: MLflow and Hugging Face course is an excellent choice for anyone looking to strengthen their skills in managing machine learning models effectively. The hands-on projects, real-world applications, and comprehensive syllabus make it a valuable investment for data scientists at any stage in their careers. I highly recommend this course for those keen on mastering MLOps.

Enroll Course: https://www.coursera.org/learn/mlops-mlflow-huggingface-duke