Enroll Course: https://www.udemy.com/course/machine-learning-on-google-cloud-platform/
In the ever-evolving landscape of artificial intelligence and machine learning, understanding cloud platforms is becoming increasingly essential for data scientists and AI practitioners. If you are someone who has experience with Azure or AWS and is curious about how machine learning activities can be performed on Google Cloud Platform (GCP), then the Udemy course ‘Machine Learning on Google Cloud (Vertex AI) – Hands on!’ is an excellent opportunity for you.
This course caters to both beginners and advanced AI practitioners, making it a versatile choice for anyone looking to expand their skill set. The course begins with a comprehensive overview of GCP, guiding you through the process of creating a GCP account and familiarizing you with the platform’s essential services such as Compute, Storage, Database, IAM, and Analytics. This foundational knowledge is crucial before diving into the more specialized AI services offered by GCP.
One of the standout features of this course is its hands-on approach. You will not only learn about the theoretical aspects of machine learning on GCP but also engage in practical exercises. The course covers model creation and deployment using AutoML for various data types, including tabular data, images, and text. You will also learn how to retrieve predictions from your deployed models using APIs, which is a vital skill for any AI practitioner.
As you progress, the course delves into the AI Platform, where you will explore model creation and deployment through both graphical user interface (GUI) and coding approaches. This dual approach ensures that you gain a well-rounded understanding of the tools available to you.
The course also emphasizes the importance of creating and submitting jobs, evaluating trained models, and building pipelines using Kubeflow. These skills are essential for streamlining your machine learning workflows and ensuring that your models are both efficient and effective.
One of the highlights of this course is the extensive coverage of Vertex AI. You will engage in model creation using AutoML and custom model training, including hyperparameter optimization, which is crucial for fine-tuning your models for optimal performance. Additionally, you will learn about creating Kubeflow pipelines using both AutoML and custom models, as well as working with the Feature Store, which is pivotal for managing and serving features for machine learning.
Overall, ‘Machine Learning on Google Cloud (Vertex AI) – Hands on!’ is a comprehensive course that equips you with the necessary skills to leverage GCP for your machine learning projects. Whether you’re just starting out or looking to enhance your existing knowledge, this course is a valuable resource that can help you unlock the full potential of machine learning in the cloud.
I highly recommend this course for anyone interested in expanding their machine learning capabilities using Google Cloud. The hands-on approach, combined with a solid theoretical foundation, makes it an excellent investment in your professional development.
Happy learning!
Enroll Course: https://www.udemy.com/course/machine-learning-on-google-cloud-platform/