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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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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Deploying and Managing a Web Application in Kubernetes with Terraform with these activities:
Read 'Machine Learning for Beginners'
Gain a comprehensive understanding of Machine Learning fundamentals by reading this introductory book.
View Taming Silicon Valley on Amazon
Show steps
  • Purchase or borrow the book 'Machine Learning for Beginners'.
  • Read the book thoroughly, taking notes and highlighting important concepts.
Review AI and Machine Learning concepts
Strengthen your foundation by reviewing key concepts in AI and Machine Learning before starting the course.
Browse courses on Artificial Intelligence
Show steps
  • Revisit textbooks or online resources on AI and Machine Learning.
  • Complete practice problems and exercises to reinforce your understanding.
Attend industry meetups and conferences
Connect with professionals in the AI and Cognitive Search industry to expand your knowledge and network.
Show steps
  • Identify relevant industry meetups and conferences.
  • Attend these events and actively participate in discussions.
  • Connect with speakers, attendees, and potential mentors.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Cognitive Search tutorials
Enhance your understanding of Cognitive Search by following guided tutorials and exploring its features.
Browse courses on Azure Cognitive Search
Show steps
  • Access the Microsoft Learn platform and search for Cognitive Search tutorials.
  • Follow the step-by-step instructions provided in the tutorials.
  • Experiment with different Cognitive Search features and settings.
Practice AI techniques
Reinforce your understanding of AI techniques by working through practice problems and exercises.
Show steps
  • Complete the practice problems provided in the course materials.
  • Find additional practice problems online or in libraries.
  • Form study groups with classmates to discuss and solve problems together.
Contribute to open source AI projects
Enhance your practical experience and contribute to the AI community by participating in open source projects.
Browse courses on Open Source
Show steps
  • Identify open source AI projects on platforms like GitHub.
  • Review the project documentation and identify areas where you can contribute.
  • Submit code contributions, bug fixes, or documentation improvements.
Develop a tool for Cognitive Search
Deepen your understanding of Cognitive Search by creating a tool that extends its functionality or simplifies its usage.
Browse courses on Cognitive Search
Show steps
  • Identify a need or problem that can be addressed by a tool.
  • Design and develop the tool using open source technologies.
  • Document the tool and make it available to the community.

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.
See salaries and explore the career path for Technical Architect
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.
See salaries and explore the career path for Cloud Operations Engineer
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.
See salaries and explore the career path for Kubernetes Engineer
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.
See salaries and explore the career path for DevSecOps Engineer
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.
See salaries and explore the career path for Cloud Infrastructure Architect
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.
See salaries and explore the career path for Full Stack Engineer
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.
See salaries and explore the career path for Web Developer
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.
See salaries and explore the career path for Cloud Developer
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.
See salaries and explore the career path for Data Engineer
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.
See salaries and explore the career path for Site Reliability Engineer
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.
See salaries and explore the career path for Systems Administrator
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.
See salaries and explore the career path for Cloud Architect
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.
See salaries and explore the career path for DevOps Engineer
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.
See salaries and explore the career path for Software Engineer

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.
Understanding Machine Learning
Save
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.
Understanding Machine Learning: From Theory to...
Hardcover
$$$
Understanding Machine Learning: From Theory to...
Kindle Edition
$$
Cover image
Probabilistic Machine Learning
Save
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.
Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$
Cover image
The Elements of Statistical Learning
Save
Provides a comprehensive overview of statistical learning, including topics such as supervised learning, unsupervised learning, and reinforcement learning. This book can be useful as a general reference for machine learning concepts.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Pattern Recognition and Machine Learning
Save
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.
Pattern Recognition and Machine Learning...
Hardcover
$$$
Pattern Recognition and Machine Learning...
Paperback
$$$
Pattern Recognition and Machine Learning (text...
Unknown Binding
$$$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of generative adversarial networks (GANs). It covers topics such as the theory behind GANs, different GAN architectures, and applications of GANs. This book can be useful for those who want to learn more about the theoretical foundations of GANs.
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Dive into Deep Learning
Save
Provides a comprehensive overview of deep learning, including topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. This book can be useful as a general reference for deep learning concepts.
Dive into Deep Learning
Paperback
$$
Cover image
Concurrent NumPy in Python
Save
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.
Concurrent NumPy in Python: Faster NumPy With BLAS,...
Paperback
$$
Concurrent NumPy in Python: Faster NumPy With BLAS,...
Kindle Edition
$$

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Course image
Time
138 hours
Level
Intermediate
Via
Pluralsight
Instructor
Microsoft Azure + AI Conference
Language
English
Good to know
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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