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Deploying and Managing a Web Application in Kubernetes with Terraform

Microsoft Azure + AI Conference

Don't miss the upcoming Microsoft Azure + AI event on December 8-10, 2020 in Las Vegas, Nevada.

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Don't miss the upcoming Microsoft Azure + AI event on December 8-10, 2020 in Las Vegas, Nevada.

Cognitive search is a technique for using AI to extract additional metadata from images, blobs, and other unstructured data. In this session, Kyle Bunting will review the process for intelligently extracting information from opaque documents using an Azure Search indexing pipeline. Pre-built and custom cognitive skills are used to enrich the search index, making the content more searchable and usable.

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What's inside

Syllabus

Add Intelligent Enrichments to Unstructured Data with Knowledge Mining and Cognitive Search

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Delves into cognitive search, a vital element in modern search functionalities
Imparts key skills for enriching search indices using cognitive skills
Led by industry experts from Microsoft Azure + AI Conference

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Career center

Learners who complete Deploying and Managing a Web Application in Kubernetes with Terraform will develop knowledge and skills that may be useful to these careers:
Technical Architect
Technical Architects design and manage technical solutions for organizations. Taking Deploying and Managing a Web Application in Kubernetes with Terraform can be a valuable course for Technical Architects as it provides comprehensive knowledge in deploying and managing web applications in Kubernetes, a technology increasingly used in building scalable and reliable solutions, strengthening their ability to design and implement effective technical solutions.
Cloud Operations Engineer
Cloud Operations Engineers manage and maintain cloud computing systems. Deploying and Managing a Web Application in Kubernetes with Terraform may be beneficial for Cloud Operations Engineers as it covers the deployment and management of web applications in Kubernetes, a key part of cloud operations, enhancing their ability to manage cloud systems effectively.
Kubernetes Engineer
Kubernetes Engineers specialize in managing and maintaining Kubernetes clusters. Deploying and Managing a Web Application in Kubernetes with Terraform can be a highly relevant course for Kubernetes Engineers as it provides in-depth knowledge of deploying and managing web applications in Kubernetes, their core area of expertise.
DevSecOps Engineer
DevSecOps Engineers work to integrate security into the software development lifecycle. Deploying and Managing a Web Application in Kubernetes with Terraform may be useful for DevSecOps Engineers as it covers deploying and managing web applications in Kubernetes, a platform that emphasizes security, aligning with their focus on security-conscious development.
Cloud Infrastructure Architect
Cloud Infrastructure Architects design and manage cloud computing infrastructure. Deploying and Managing a Web Application in Kubernetes with Terraform can be a valuable course for Cloud Infrastructure Architects as it provides insights into deploying and managing web applications in Kubernetes, a key technology in cloud infrastructure.
Full Stack Engineer
Full Stack Engineers handle both the front-end and back-end development of web applications. Taking the course, Deploying and Managing a Web Application in Kubernetes with Terraform, may be useful for Full Stack Engineers as it provides practical experience in deploying and managing web applications using Kubernetes, complementing their full-stack skillset.
Web Developer
Web Developers design, develop, and maintain websites and web applications. Deploying and Managing a Web Application in Kubernetes with Terraform may be beneficial for Web Developers seeking to gain experience in deploying and managing web applications using Kubernetes, a technology gaining prominence in web development.
Cloud Developer
Cloud Developers design, develop, and maintain cloud-based applications. Deploying and Managing a Web Application in Kubernetes with Terraform can be a valuable course for Cloud Developers as it provides hands-on experience in deploying and managing web applications using Kubernetes, a key technology in cloud computing.
Data Engineer
Data Engineers design and manage data systems, ensuring data integrity and accessibility. The course, Deploying and Managing a Web Application in Kubernetes with Terraform, may be useful for Data Engineers interested in gaining experience in deploying web applications in Kubernetes, a platform increasingly used for data processing and analysis.
Site Reliability Engineer
Site Reliability Engineers ensure the reliability and uptime of websites and applications. Deploying and Managing a Web Application in Kubernetes with Terraform may be useful for those aspiring to become Site Reliability Engineers as it provides practical experience in deploying and managing web applications using Kubernetes, a skillset essential in maintaining website and application reliability.
Systems Administrator
Systems Administrators ensure the smooth operation of computer systems, networks, and databases. This course on Deploying and Managing a Web Application in Kubernetes with Terraform may be useful for Systems Administrators seeking to expand their knowledge in deploying and managing web applications in a cloud environment, enhancing their skillset in system administration.
Cloud Architect
Cloud Architects design and manage cloud computing systems, optimizing performance and efficiency. The course, Deploying and Managing a Web Application in Kubernetes with Terraform, may be useful for this career path as it covers the deployment and management of web applications in the cloud using Kubernetes, providing valuable insights into cloud architecture and management.
DevOps Engineer
DevOps Engineers collaborate between development and operations teams, ensuring efficient software delivery, deployment, and maintenance. Taking the course, Deploying and Managing a Web Application in Kubernetes with Terraform, may be useful for those pursuing this career as it provides hands-on experience in deploying and managing web applications using Kubernetes, a valuable skill set in the field.
Software Engineer
Software Engineers build and maintain applications and software programs, ensuring they operate at maximum capability. The course, Deploying and Managing a Web Application in Kubernetes with Terraform, may be useful for this career as it delves into the deployment and management of web applications using Kubernetes and Terraform, providing valuable insights into the software development lifecycle.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Deploying and Managing a Web Application in Kubernetes with Terraform.
Provides a comprehensive overview of machine learning, including topics such as supervised learning, unsupervised learning, and reinforcement learning. This book can be useful as a general reference for machine learning concepts.
Provides a comprehensive overview of machine learning, including topics such as supervised learning, unsupervised learning, and reinforcement learning. This book can be useful as a general reference for machine learning concepts.
Provides a comprehensive overview of statistical learning, including topics such as supervised learning, unsupervised learning, and reinforcement learning. This book can be useful as a general reference for machine learning concepts.
Provides a comprehensive overview of pattern recognition and machine learning, including topics such as supervised learning, unsupervised learning, and reinforcement learning. This book can be useful as a general reference for machine learning concepts.
Provides a comprehensive overview of generative adversarial networks (GANs). It covers topics such as the theory behind GANs, different GAN architectures, and applications of GANs. This book can be useful for those who want to learn more about the theoretical foundations of GANs.
Provides a comprehensive overview of deep learning, including topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. This book can be useful as a general reference for deep learning concepts.
Provides a comprehensive overview of deep learning for computer vision tasks, such as image classification, object detection, and semantic segmentation. This book can be useful as a reference for specific computer vision techniques.

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