Leveraging Cloud-Based Machine Learning on Google Cloud Platform Real World Applications

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MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 1h 19m
Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles | Size: 126 MB

In order to successfully leverage AI on Google Cloud Platform (GCP), you must understand what AI is and become familiar with the native tools that GCP offers. This practical course takes you through the basics of leveraging GCP for AI-based applications, including the tools that you can leverage today and how to use them correctly. Instructor David Linthicum introduces Vision AI, a key image identification product from Google, as well as Kubeflow, the machine learning (ML) toolkit designed to simplify the process of deploying ML workflows on Kubernetes. Throughout the course, David presents a variety of real-world use cases that illustrate how these concepts work in practice.

Topics include:

Creating a knowledge base
AI and cloud computing
ROI of the inclusion of AI within a business system
Working with the Vision AI tool
The basics of using Kubeflow
Designing AI systems for GCP AI services
AI-based security in GCP
Estimating the cost of AI integration
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