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.
Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications
Overview
Syllabus
Introduction
- Intro to artificial intelligence (AI) on Google
- What you should know
- AI processing and Google
- Create a knowledge base
- AI applications and Google
- AI and cloud computing
- AI and Google
- Case study: International Drone Inc.
- Identifying the need for AI
- AI solution: Better inventory control
- AI solution: Better manufacturing systems
- ROI of AI inclusion
- Vision AI build
- Vision AI training
- Vision AI deployment
- Demo: Vision AI
- Kubeflow overview
- Set up Kubeflow
- Kubeflow integration
- Execution
- Identify requirements
- Design an AI system for GCP
- Build
- Train
- Deployment
- AI's impact on performance
- Estimate cost of AI integration
- Operations best practices
- Security considerations
- Governance
- Additional resources
Taught by
David Linthicum
