Here’s What We’ll Cover:
Deployment & Production
- Model deployment strategies: cloud platforms (AWS, Google Cloud, Azure).
- Containerization: Docker, Kubernetes.
- Model monitoring, logging, and scalability.
Curriculum
- 6 Sections
- 35 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Model deployment strategies: cloud platforms (AWS, Google Cloud, Azure)You may have already realized it. You’re going to have to adopt the cloud at some point. And as that point comes closer, it’s time to get a realistic idea about what the cloud offers so you’ll know how best to take advantage of it in your digital transformation.In this post we’ll cover the basic cloud computing deployment models, strategies, and the various deployment architectures in use today to give you a primer on how the cloud is structured at the fundamental service level.7
- 1.1An Intro to Cloud Computing
- 1.2Infrastructure as a service (AWS)
- 1.3Infrastructure as a service (Microsoft azure)
- 1.4Infrastructure as a service (Google Cloud Platform)
- 1.5Infrastructure as a service (Alibaba Cloud)
- 1.6Infrastructure as a service (IBM)
- 1.7Infrastructure as a service (Dell Technologies/VMware)
- Containerization: Docker and Kubernetes for Machine Learning6
- Logging & MonitoringThe OWASP Top 10 2017 introduces the risk of insufficient logging and monitoring. Indeed, inherent problems in this practice are often underestimated and misunderstood. But why is a seemingly simple task ending up being a crucial point of information system security?5
- Production & Deployment (PD) Phase4
- Model Monitoring4
- Scalability9
