Enroll Course: https://www.coursera.org/learn/ml-pipelines-google-cloud
If you’re eager to take your machine learning skills to the next level, then the “ML Pipelines on Google Cloud” course offered by Coursera is a fantastic opportunity that you shouldn’t miss. This course is delivered by expert ML Engineers and Trainers who work at Google Cloud, allowing you to learn from the best in the field.
The course begins with an engaging introduction, aptly titled “Welcome to ML Pipelines on Google Cloud”. Here, you’ll get an overview of what to expect and how to best utilize the course material. Your journey into machine learning pipelines starts with an introduction to TensorFlow Extended (TFX), which is Google’s powerful platform designed for the management of ML workflows. Understanding TFX is crucial as it helps streamline the utilization of TensorFlow for production ML.
One of the standout features of this course is the in-depth exploration of pipeline orchestration. In the module specifically dedicated to this topic, you’ll learn to manage and coordinate various pipeline components seamlessly. This knowledge will empower you to build robust ML pipelines that can handle complex workflows with ease.
A unique highlight of the course is its focus on customizing components and establishing Continuous Integration/Continuous Deployment (CI/CD) for TFX pipelines. You’ll discover how to automate parts of your ML workflow, saving you significant time and enhancing productivity. This practical knowledge is what every ML engineer should master in today’s fast-paced development environment.
Additionally, the course covers critical aspects of ML metadata management with TFX and dives into continuous training using various SDKs, Kubernetes with KubeFlow, and AI Platform Pipelines. Understanding how to keep your models updated in a continuously evolving landscape is key to deploying effective machine learning solutions.
The final modules introduce useful tools like Cloud Composer for managing workflows and MLflow for tracking experiments. The summary module ties everything together, ensuring you have a comprehensive understanding of the intricacies of ML pipelines on Google Cloud.
Course Structure:
1. Welcome to ML Pipelines on Google Cloud
2. Introduction to TFX Pipelines
3. Pipeline orchestration with TFX
4. Custom components and CI/CD for TFX pipelines
5. ML Metadata with TFX
6. Continuous Training with multiple SDKs, KubeFlow & AI Platform Pipelines
7. Continuous Training with Cloud Composer
8. ML Pipelines with MLflow
9. Summary
Overall, the “ML Pipelines on Google Cloud” course is expertly designed for anyone eager to advance their skills in machine learning. With its practical approach and strong industry backing from Google Cloud, you will find this course highly beneficial, whether you are a beginner or someone looking to enhance your existing ML capabilities. Don’t miss your chance to harness the full potential of ML pipelines – enroll today!
Enroll Course: https://www.coursera.org/learn/ml-pipelines-google-cloud