DevOps Training Course Overview
Introduction, What is DevOps?, Waterfall vs Agile vs DevOps, DevOps Tools, SDLC Models
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Data Science, Machine Learning and AI
DEVOPS
CLOUD COMPUTING
SOFTWARE DEVELOPMENT AND TESTING
IT SERVICE AND PROJECT MANAGEMENT
MOBILE & WEB DEVELOPMENT
CYBER SECURITY, NETWORKING & BLOCK CHAIN
DATABASES & BIG DATA
BUSINESS INTELLIGENCE
WINDOWS & VIRTUALIZATION
TESTING
Introduction, What is DevOps?, Waterfall vs Agile vs DevOps, DevOps Tools, SDLC Models
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At the end of Deep Learning with Python training participants will be able to: Understand core architecture of Deep Neural Networks Use TensorFlow and Keras Construct a computing environment and learn to install TensorFlow Develop TensorFlow graphs required for everyday computation
past 25 years developing and researching cutting-edge artificial intelligent systems. He has (co)founded several companies, advises high-tech startups and held appointments at AT&T (Executive Director of Research), Turn Inc., Xerox Research, Mitsubishi Research, and at Clairvoyance Corp. He teaches at UC Berkeley and has published six books, more than 50 research publications, and has over 20 patents in the areas of machine learning and information processing.