Introduction
Did you know that you can automate machine learning (ML) deployments and workflows? Yes, it’s true. This can be achieved using Machine Learning Operations (MLOps), which consist of a set of rules and practices that streamline and automate ML deployments and workflows. Nowadays, people are rapidly developing AI and ML solutions to solve real-world problems, and incorporating MLOps is essential for the success of these projects. In this article, we will highlight the 6 most important and free courses on MLOps offered by Google.
Also Read: A Comprehensive MLOps Learning Path: 2024 Edition
6 Free Google Courses on MLOps
As an aspiring data scientist or data enthusiast, it is crucial to have a solid understanding of the core concepts of MLOps. If you find yourself stuck or unsure of where to master these concepts, this article is tailored for you. We have curated a list that will ease your entry into the world of MLOps, categorizing the courses from basic to advanced levels. Let’s get started!
1. Machine Learning Operations (MLOps): Getting Started
This introductory course is designed for beginners and covers the fundamentals of MLOps tools and best practices for deploying, evaluating, monitoring, and operating production ML systems on Google Cloud. MLOps is a discipline that focuses on the deployment, testing, monitoring, and automation of ML systems in production. Professionals in Machine Learning Engineering use tools for continuous improvement and evaluation of deployed models, working closely with Data Scientists to deploy high-performing models efficiently.
Upon completing this foundational course, you will receive a badge to showcase your achievement. You can enhance your cloud career by displaying the badge on LinkedIn and demonstrating the skills you have acquired.
2. MLOps: Continuous Delivery and Automation Pipelines in Machine Learning
This course explores techniques for implementing and automating continuous integration (CI), continuous delivery (CD), and continuous training (CT) for ML systems. Data science and ML are becoming fundamental capabilities for solving complex real-world problems, driving innovation across industries, and delivering value in various domains.
3. Build and Deploy Machine Learning Solutions on Vertex AI
This skill badge course is tailored for professional Data Scientists and Machine Learning Engineers, focusing on high-impact enterprise ML use cases such as customer lifetime value prediction, churn prediction in mobile games, defect identification in visual car parts, and sentiment classification using BERT.
4. ML Pipelines on Google Cloud
This course, led by Google Cloud’s ML pipeline developers and trainers, covers TensorFlow Extended (TFX) and TFX pipeline components, focusing on Google’s production ML framework for ML pipelines and metadata management.
5. Machine Learning Operations (MLOps) with Vertex AI: Manage Features
This course introduces MLOps tools and best practices for deploying, evaluating, monitoring, and operating ML systems on Google Cloud. Participants will gain hands-on experience using Vertex AI Feature Store’s streaming ingestion at the SDK layer.
6. Production Machine Learning Systems
This course delves into implementing various types of production ML systems, including static, dynamic, and continuous training, inference, and processing. Participants will explore TensorFlow abstraction levels, distributed training options, and writing distributed training models with custom estimators.
Conclusion
There you have it, seven exceptional MLOps courses from Google – all available for free! Whether you are just starting out in MLOps or looking to enhance your skills, this list has something for everyone. These courses cover a wide range of topics, from basic to advanced MLOps concepts. Not only will you learn about deploying and optimizing ML systems, but you can also earn badges to showcase your expertise on LinkedIn. Take advantage of this opportunity to elevate your knowledge and credibility in the rapidly evolving field of machine learning operations. Start one of these courses today and elevate your game in the world of MLOps. Happy learning!
