End-to-End AI Developer Journey with Containerized Assets Using Intel DevCatalog and DevCloud
Offered By: Docker via YouTube
Course Description
Overview
Explore a comprehensive 28-minute video tutorial on leveraging Docker with Intel DevCatalog and Intel DevCloud for AI development. Dive into the world of containerized AI assets and deployment methodologies, focusing on microservice-based AI in cloud, enterprise, and edge deployments. Learn to access and download containerized assets from Intel® DevCatalog, utilize these assets on Intel® DevCloud container platform for customization, development, and benchmarking of AI applications. Discover deployment techniques on various hardware, including Intel CPUs, integrated GPUs, and Vision Processing Units (VPUs). Gain insights into training models and inferencing using the Intel® distribution of OpenVINO™ ToolKit and its integrations with AI frameworks like TensorFlow and PyTorch. Follow along with Vaghesh Patel, Cloud Software Architect at Intel, as he guides you through this end-to-end AI developer journey using containerized assets.
Syllabus
End to end AI developer journey with containerized assets using Intel DevCatalog, Intel DevCloud
Taught by
Docker
Related Courses
Cloud Computing Applications, Part 1: Cloud Systems and InfrastructureUniversity of Illinois at Urbana-Champaign via Coursera Introduction to Cloud Infrastructure Technologies
Linux Foundation via edX Introduction aux conteneurs
Microsoft Virtual Academy via OpenClassrooms The Docker for DevOps course: From development to production
Udemy Windows Server 2016: Virtualization
Microsoft via edX