Enroll Course: https://www.udemy.com/course/machine-learning-on-google-cloud-platform/
If you’re a data scientist or AI practitioner eager to explore machine learning on Google Cloud Platform (GCP), the ‘Machine Learning on Google Cloud (Vertex AI) – Hands on!’ course on Udemy is an excellent resource to kickstart or deepen your understanding. This course is uniquely designed for both beginners and advanced users, making it accessible regardless of your prior experience with cloud platforms.
The course begins with an essential overview of GCP, guiding you through creating an account and understanding core cloud services such as compute, storage, databases, IAM, and analytics. This foundational knowledge sets the stage for more advanced topics. The instructor provides practical demonstrations, ensuring you can follow along and gain hands-on experience.
The focus then shifts to AI and machine learning services offered by GCP. You will learn to create, train, and deploy models using AutoML for various data types—tabular, images, and text. The course covers deploying models via APIs, creating AI platform jobs, and evaluating models, providing a well-rounded understanding of the end-to-end ML lifecycle.
One of the standout features of this course is its in-depth coverage of Vertex AI, including building custom models, hyperparameter tuning, and pipeline creation with Kubeflow. The course also introduces the GCP Feature Store, an essential component for managing features in ML workflows.
In conclusion, this course is highly recommended for anyone looking to gain practical skills in machine learning on GCP. Its comprehensive content, combined with practical demonstrations, makes it a valuable investment for data professionals aiming to leverage Google Cloud’s powerful AI tools effectively.
Enroll Course: https://www.udemy.com/course/machine-learning-on-google-cloud-platform/