Microsoft Azure Cognitive Services: Personalizer from Pluralsight

Improve your application usability and user satisfaction by providing a tailored user experience. You'll learn to use Azure Cognitive Services Personalizer so your application can make smarter choices based on previous user selections and behavior.

Where in your website should you show the advertisement? What products should you suggest to your online shoppers? Which articles have a better chance of being clicked by users? Is your application smart enough to decide? In this course, Microsoft Azure Cognitive Services: Personalizer, you’ll learn to boost user experience by developing intelligent applications. First, you’ll explore what can be done with the Personalizer API. Next, you’ll discover how to provision and configure a Personalizer service in Microsoft Azure. Finally, you’ll learn how to use Personalizer to enable your application making smarter choices. When you’re finished with this course, you’ll have the skills and knowledge of Azure Cognitive Services: Personalizer needed to improve usability and user satisfaction of your software product.

What's inside

Syllabus

Course Overview

Understanding Personalizer

Using the Personalizer API

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches how to use Azure Cognitive Services Personalizer, which is a valuable and in-demand tool for designing intelligent applications

Practical course that shows how to boost user experience by developing intelligent applications

Microsoft recognized as a leader in cloud computing, meaning this course will likely provide up-to-date knowledge and skills

Taught by Reza Salehi who is an expert in intelligent applications

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 Microsoft Azure Cognitive Services: Personalizer with these activities:

Refresher on user experience principles

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Review the fundamental principles of user experience design to ensure you have a solid foundation before starting this course.

Browse courses on User Experience Design

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Review articles about user experience best practices
Identify examples of good and bad user experiences in websites, apps, and other digital products
Participate in online forums or discussion groups about user experience

Guided tutorial: Building a recommendation engine with Personalizer

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Follow a step-by-step tutorial to build a simple recommendation engine using Personalizer, which will help you understand how Personalizer works in practice.

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Complete the prerequisites: Azure account, Visual Studio Code
Follow the tutorial to create a Personalizer service and an API app
Test the recommendation engine with sample data
Review the code and documentation to understand how Personalizer works

Peer discussion: Best practices for using Personalizer

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Join a peer discussion to exchange ideas and share knowledge about best practices for using Personalizer effectively in your applications.

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Join an online forum or chat group for Personalizer users
Attend a webinar or virtual meet-up on Personalizer
Organize or participate in a local meetup or study group for Personalizer

Five other activities

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Practice exercises: Implementing Personalizer in different scenarios

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Complete a series of practical exercises that will help you apply your knowledge of Personalizer in different scenarios.

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Download the Personalizer SDK and set up a project
Implement Personalizer in a simple web application
Explore advanced features of Personalizer, such as contexts and actions
Troubleshoot common issues and errors with Personalizer

Build a Personalizer-powered application from scratch

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Apply your knowledge of Personalizer to build a complete application that addresses a real-world problem or use case.

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Define the scope and goals of your project
Design the architecture and implementation plan
Develop and test the application using Personalizer
Deploy the application and track its performance

Create a case study: Using Personalizer in a real-world scenario

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Develop a case study that demonstrates how you would apply Personalizer to a specific business problem or use case.

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Research and identify a business problem or use case that could benefit from Personalizer
Design a plan for how Personalizer would be implemented in this scenario
Develop a prototype or mock-up to illustrate your solution
Present your case study to your peers or colleagues for feedback

Mentor other students in using Personalizer

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Share your knowledge and experience with other students who are learning about Personalizer.

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Identify opportunities to help other students through online forums, discussion groups, or mentoring programs
Provide guidance, support, and encouragement to other students
Share your insights and experiences to help others succeed

Participate in a Personalizer competition or hackathon

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Test your skills and knowledge of Personalizer by participating in a competition or hackathon.

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Find an appropriate competition or hackathon that focuses on Personalizer
Form a team or work independently to develop a solution
Design, develop, and implement your solution using Personalizer
Submit your solution and compete for prizes or recognition

Career center

Learners who complete Microsoft Azure Cognitive Services: Personalizer will develop knowledge and skills that may be useful to these careers:

User Experience (UX) Researcher

A UX Researcher understands the user's experience with a product and provides feedback to the development team. This course can help build a foundation for this role by providing insight into how to use data to make informed decisions and optimize the user experience.

See salaries and explore the career path for User Experience (UX) Researcher

Product Manager

A Product Manager oversees the development of a product from start to finish. This course can help build a foundation for this role by providing insight into using data to make informed decisions and customize the user experience.

See salaries and explore the career path for Product Manager

Data Analyst

A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. This course may be useful for this role by providing insight into using data to make informed decisions.

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Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course may be useful for this role by providing insight into how to use Personalizer to enable an application to make smarter choices.

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Digital Marketing Specialist

A Digital Marketing Specialist plans, executes, and analyzes digital marketing campaigns. This course may be useful for this role by providing insight into using data to make informed decisions and provide a tailored user experience.

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Business Analyst

A Business Analyst analyzes business processes and makes recommendations for improvement. This course may be useful for this role by providing insight into using data to make informed decisions and understand the user's experience.

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Customer Success Manager

A Customer Success Manager ensures that customers are satisfied with their product or service. This course may be useful for this role by providing insight into how to use data to make informed decisions and optimize the user experience.

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Marketing Manager

A Marketing Manager plans, executes, and analyzes marketing campaigns. This course may be useful for this role by providing insight into using data to make informed decisions and provide a tailored user experience.

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Information Architect

An Information Architect designs and organizes the structure of websites and other digital products. This course may be useful for this role by providing insight into how to use data to make informed decisions and understand the user's experience.

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Data Scientist

A Data Scientist uses data to solve complex problems. This course may be useful for this role by providing insight into how to use data to make informed decisions.

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Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical techniques to solve problems in business and finance. This course may be useful for this role by providing insight into how to use data to make informed decisions.

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Operations Research Analyst

An Operations Research Analyst uses mathematical and statistical techniques to solve problems in business and operations. This course may be useful for this role by providing insight into how to use data to make informed decisions.

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Statistician

A Statistician collects, analyzes, and interprets data. This course may be useful for this role by providing insight into how to use data to make informed decisions.

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Web Designer

A Web Designer creates and maintains websites. This course may be useful for this role by providing insight into how to use data to understand the user's experience.

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Graphic designer

A Graphic Designer creates visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers.

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