Google Cloud Platform for Machine Learning Essential Training

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Lynn Langit

1:34:01

11 View

01 - Introduction

01 - GCP and Machine Learning.mp4

00:46

02 - What you should know.mp4

00:47

03 - About using cloud services.mp4

01:19

02 - 1. Vertex AI Studio

01 - Use Vertex AI Model Garden.mp4

05:38

02 - Design and test language model prompts.mp4

05:03

03 - Design and test multimodal model prompts.mp4

03:09

04 - Test image model generative output.mp4

03:17

05 - Design and test speech generative output.mp4

02:27

06 - Challenge Select and test GenAI models.mp4

01:40

07 - Solution Select and test GenAI models.mp4

02:49

03 - 2. Vertex AI Notebooks

01 - Understand available services.mp4

04:17

02 - Use TensorFlow example MNIST.mp4

03:56

03 - Use managed and user-managed notebooks.mp4

05:43

04 - Update notebook instance.mp4

06:29

05 - Use notebook instances.mp4

02:05

06 - Challenge Setup notebook.mp4

00:55

07 - Solution Setup notebook.mp4

02:44

04 - 3. Model Development

01 - Understand Vector Search.mp4

02:43

02 - Use Vector Search.mp4

05:19

03 - Understand Feature Store.mp4

03:02

04 - Challenge Create a Feature Store.mp4

01:38

05 - Solution Create a Feature Store.mp4

02:43

05 - 4. Model Deployment

01 - Use the model registry.mp4

03:18

02 - Register a model in the registry.mp4

03:55

03 - Review batch and online endpoints.mp4

04:59

04 - Understand model pipeline templates.mp4

05:12

05 - Challenge Run and evaluate a model pipeline job.mp4

02:05

06 - Solution Run and evaluate a model pipeline job.mp4

04:26

06 - Conclusion

01 - Next steps.mp4

01:37

Description

Machine learning can make your applications faster and more intelligent. You can analyze customer data such as voice and text input, images, and video, and take action without human intervention. Google Cloud Platform (GCP) offers a competitive set of machine learning services for nearly every type of architecture, including serverless computing, containers, and virtual machines. In this course with instructor Lynn Langit, learn to use machine learning model development tools and services available in Google Cloud. Lynn shows how you can use Vertex AI machine learning services to develop, train, evaluate and host custom machine learning models. Learn how you can bring your own models or use the recently released generative AI foundational models as a basis for your work. Discover how new tools like Google AI Studio can get you up and running quickly, and see how to use the Vertex AI APIs to master end-to-end MLOps.

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Machine Learning

Google Cloud

Lynn Langit

Instructor's Courses

Cloud Architect working with remote dev teams world-wide to build cloud solutions. Author of 30 LinkedIn Learning Cloud/Data courses with over 5 million student views. https://www.linkedin.com/learning/instructors/lynn-langit

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.