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

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

Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications is an Intermediate level course on Business, written by an expert, David Linthicum. This course is an important step for an individual who needs to sharpen his/her Business talent. It provides you a strong understanding on Business, Developer, Cloud Computing, IT, Google Cloud, Business, Developer, Cloud Computing, IT and Google Cloud.

Free Download - Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications
Author David Linthicum
Publish Date 2/20/2020
Skill Intermediate
Duration 1h 19m
Topic Business
Video Tutorials 31
Last Update N/A

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

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

  • Intro to artificial intelligence (AI) on Google44s
  • What you should know1m 12s
  • AI processing and Google2m 9s
  • Create a knowledge base3m 29s
  • AI applications and Google3m 28s
  • AI and cloud computing1m 42s
  • AI and Google2m 6s
  • Case study: International Drone Inc.2m 57s
  • Identifying the need for AI3m 17s
  • AI solution: Better inventory control2m 42s
  • AI solution: Better manufacturing systems1m 34s
  • ROI of AI inclusion1m 17s
  • Vision AI build2m 34s
  • Vision AI training1m 38s
  • Vision AI deployment1m 52s
  • Demo: Vision AI3m 42s
  • Kubeflow overview2m 7s
  • Set up Kubeflow1m 16s
  • Kubeflow integration2m 7s
  • Execution1m 55s
  • Identify requirements3m 36s
  • Design an AI system for GCP2m 35s
  • Build3m 18s
  • Train2m 58s
  • Deployment3m 32s
  • AI's impact on performance3m 28s
  • Estimate cost of AI integration2m 11s
  • Operations best practices5m 20s
  • Security considerations2m 44s
  • Governance3m 5s
  • Additional resources2m 58s

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