Monday 18 Feb 17.30

Deploying Machine Learning Models with Docker

Hands On Data Science


LEVEL: Advanced

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.



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


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

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