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

Offered By: LinkedIn Learning

Tags

Artificial Intelligence Courses Machine Learning Courses Cloud Computing Courses Inventory Control Courses Kubeflow Courses

Course Description

Overview

Learn the basics of leveraging Google Cloud Platform for building AI-based applications. Explore the tools that you can use today, as well as best practices for using them correctly.

Syllabus

Introduction
  • Intro to artificial intelligence (AI) on Google
  • What you should know
1. AI Basics
  • AI processing and Google
  • Create a knowledge base
  • AI applications and Google
  • AI and cloud computing
  • AI and Google
2. Sample AI Use Case
  • Case study: International Drone Inc.
  • Identifying the need for AI
  • AI solution: Better inventory control
  • AI solution: Better manufacturing systems
  • ROI of AI inclusion
3. GCP Vision AI
  • Vision AI build
  • Vision AI training
  • Vision AI deployment
  • Demo: Vision AI
4. GCP Kubeflow
  • Kubeflow overview
  • Set up Kubeflow
  • Kubeflow integration
  • Execution
5. GCP AI Application Walk-Through
  • Identify requirements
  • Design an AI system for GCP
  • Build
  • Train
  • Deployment
6. Other Considerations
  • AI's impact on performance
  • Estimate cost of AI integration
  • Operations best practices
  • Security considerations
  • Governance
Conclusion
  • Additional resources

Taught by

David Linthicum

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