This HandsOn session will mainly focus on Deploying the Machine Learning models into Docker. At the end of the session you will write your own docker images and publish the images into docker. How to use the docker for development and orchestrate the models deployed into docker in docker swarm is not focusing on Kubernetes.
Please note: This is a Hands on Session
Computer System Requirements: 1.Windows 10 64bit: Pro, Enterprise or Education (1607 Anniversary Update, Build 14393 or later), Linux,Mac. 2.Virtualization is enabled in BIOS. Typically, virtualization is enabled by default. This is different from having Hyper-V enabled. For more detail see Virtualization must be enabled in Troubleshooting. 3.CPU SLAT-capable feature. 4.At least 4GB of RAM.
Agenda:
17.30 - 17.45 Meet & Greet
17:45 - 18:20 Presentation
18:20 - 18:30 Work HandsOn in groups
18:30 - 19:00 Meet & Eat
19:00 - 20:00 Continue to work HandsOn in groups
Bio:
Venkata Sai Krishna Chaitanya Ivvala
DevOps Manager at Vultus AB, Lund
Masters Science in Telecommunication Systems Proficient in programming (C, C++, JAVA, PERL, PYTHON, PHP, BASH).
Good Knowledge in Algorithms and Data structures Good Knowledge in TCP/IP Protocols, Cloud environments, Container Technologies.
Research interests are Machine Learning, DevOps, Cloud Computing, Network Security, IoT, 5G
Tags data science devops
