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Customers today expect a highly personalized journey when shopping. In this session, learn how you can improve customer engagement, retention, and conversion by using personalized recommendations powered by Amazon Personalize.
Read more
Customers today expect a highly personalized journey when shopping. In this session, learn how you can improve customer engagement, retention, and conversion by using personalized recommendations powered by Amazon Personalize.
Read more
Customers today expect a highly personalized journey when shopping. In this session, learn how you can improve customer engagement, retention, and conversion by using personalized recommendations powered by Amazon Personalize.
Join Amazon Web Service's Megan Bos for insights into why customers today expect a highly personalized journey when shopping. By using machine learning, brands have the power to turn every shopping interaction into a meaningful and rewarding experience. In this session, learn how you can improve customer engagement, retention, and conversion by using personalized recommendations powered by Amazon Personalize.
Register for this course and see more details by visiting:
OpenCourser.com/course/6r2c64/transform
What's inside
Syllabus
Transform Customer Experience with Personalization
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines how machine learning can be used to improve customer engagement and conversion rates
Develops skills in using Amazon Personalize, a tool for making personalized recommendations
Meets the needs of marketers and e-commerce professionals looking to enhance customer experiences
Requires no prior experience with machine learning or Amazon Personalize
Provides insights into industry best practices for personalized marketing
Taught by Megan Bos, an experienced Amazon Web Services professional
Save this course
Save Transform Customer Experience with Personalization to your list so you can find it easily later:
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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 Transform Customer Experience with Personalization with these
activities:
Review basic machine learning concepts
Show steps
Reinforce your foundational knowledge of machine learning to better understand the concepts covered in this course.
Browse courses on
Machine Learning Fundamentals
Show steps
-
Review your notes or textbooks from previous machine learning courses.
-
Take practice quizzes or mock exams to assess your understanding.
Review Essential Concepts in Machine Learning
Show steps
Refresh your understanding of key machine learning concepts and techniques to strengthen your foundation for this course.
Show steps
-
Review lecture notes or textbooks on machine learning algorithms.
-
Practice solving machine learning problems and exercises.
-
Take an online quiz or assessment to test your understanding.
Join a study group or online forum for Amazon Personalize
Show steps
Collaborate with peers, discuss concepts, and share experiences to enhance your learning and build a support network.
Browse courses on
Collaboration
Show steps
-
Identify and join an existing study group or online forum.
-
Participate actively in discussions and share your knowledge.
-
Seek help and support from other members when needed.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Explore Amazon Personalize Documentation and Tutorials
Show steps
Familiarize yourself with Amazon Personalize's features and capabilities to enhance your comprehension of the course content.
Browse courses on
Amazon Personalize
Show steps
-
Visit the Amazon Personalize documentation website.
-
Follow guided tutorials to create and deploy personalized recommendation systems.
-
Experiment with different configurations and evaluate results.
Complete tutorials on Amazon Personalize
Show steps
Enhance your understanding of Amazon Personalize by following guided tutorials to learn its features and functionalities.
Browse courses on
Amazon Personalize
Show steps
-
Explore the official Amazon Personalize documentation.
-
Follow step-by-step tutorials to build your own personalized recommendation system.
-
Experiment with different parameters to optimize your recommendations.
Join a Study Group or Online Forum
Show steps
Connect with other learners and engage in discussions to reinforce your understanding and expand your perspectives.
Show steps
-
Identify relevant study groups or online forums.
-
Participate in discussions, ask questions, and share insights.
Solve practice problems related to personalized recommendations
Show steps
Strengthen your problem-solving skills by practicing with exercises that focus on personalized recommendations.
Browse courses on
Recommendation Systems
Show steps
-
Find online resources or textbooks with practice problems.
-
Work through the problems on your own or with a study group.
-
Analyze your solutions and identify areas for improvement.
Connect with Experts in Personalized Recommendations
Show steps
Seek guidance from experienced professionals in the field of personalized recommendations to enhance your understanding and career prospects.
Browse courses on
Personalized Recommendations
Show steps
-
Identify potential mentors through networking events or online platforms.
-
Reach out to mentors with a personalized introduction and request for guidance.
Solve Amazon Personalize Hands-on Labs
Show steps
Gain practical experience with Amazon Personalize by completing hands-on labs that guide you through building and deploying recommendation systems.
Browse courses on
Amazon Personalize
Show steps
-
Follow the instructions provided in the lab manuals.
-
Configure and train models.
-
Analyze results and troubleshoot issues.
Develop a Personalized Recommendation System Prototype
Show steps
Apply the concepts learned in the course to create a working prototype of a personalized recommendation system.
Browse courses on
Personalized Recommendations
Show steps
-
Define the problem statement and data requirements.
-
Choose appropriate Amazon Personalize features and models.
-
Build and train the recommendation system.
-
Evaluate the performance and fine-tune the system.
Develop a personalized recommendation system prototype
Show steps
Apply your learning by creating a working prototype to demonstrate your understanding of personalized recommendations and Amazon Personalize.
Browse courses on
Software Development
Show steps
-
Define the scope and goals of your prototype.
-
Choose a dataset and data format that aligns with your project.
-
Build and train a personalized recommendation model using Amazon Personalize.
-
Design and implement a user interface for your prototype.
-
Test and evaluate your prototype to identify areas for improvement.
Contribute to Amazon Personalize Open Source Projects
Show steps
Deepen your understanding of Amazon Personalize by contributing to its open source projects and collaborating with the community.
Browse courses on
Amazon Personalize
Show steps
-
Explore the Amazon Personalize GitHub repository.
-
Identify areas where you can contribute.
-
Submit pull requests with your code and documentation changes.
Review basic machine learning concepts
Show steps
Reinforce your foundational knowledge of machine learning to better understand the concepts covered in this course.
Browse courses on
Machine Learning Fundamentals
Show steps
Show steps
Show steps
- Review your notes or textbooks from previous machine learning courses.
- Take practice quizzes or mock exams to assess your understanding.
Review Essential Concepts in Machine Learning
Show steps
Refresh your understanding of key machine learning concepts and techniques to strengthen your foundation for this course.
Show steps
Show steps
Show steps
- Review lecture notes or textbooks on machine learning algorithms.
- Practice solving machine learning problems and exercises.
- Take an online quiz or assessment to test your understanding.
Join a study group or online forum for Amazon Personalize
Show steps
Collaborate with peers, discuss concepts, and share experiences to enhance your learning and build a support network.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Identify and join an existing study group or online forum.
- Participate actively in discussions and share your knowledge.
- Seek help and support from other members when needed.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Explore Amazon Personalize Documentation and Tutorials
Show steps
Familiarize yourself with Amazon Personalize's features and capabilities to enhance your comprehension of the course content.
Browse courses on
Amazon Personalize
Show steps
Show steps
Show steps
- Visit the Amazon Personalize documentation website.
- Follow guided tutorials to create and deploy personalized recommendation systems.
- Experiment with different configurations and evaluate results.
Complete tutorials on Amazon Personalize
Show steps
Enhance your understanding of Amazon Personalize by following guided tutorials to learn its features and functionalities.
Browse courses on
Amazon Personalize
Show steps
Show steps
Show steps
- Explore the official Amazon Personalize documentation.
- Follow step-by-step tutorials to build your own personalized recommendation system.
- Experiment with different parameters to optimize your recommendations.
Join a Study Group or Online Forum
Show steps
Connect with other learners and engage in discussions to reinforce your understanding and expand your perspectives.
Show steps
Show steps
Show steps
- Identify relevant study groups or online forums.
- Participate in discussions, ask questions, and share insights.
Solve practice problems related to personalized recommendations
Show steps
Strengthen your problem-solving skills by practicing with exercises that focus on personalized recommendations.
Browse courses on
Recommendation Systems
Show steps
Show steps
Show steps
- Find online resources or textbooks with practice problems.
- Work through the problems on your own or with a study group.
- Analyze your solutions and identify areas for improvement.
Connect with Experts in Personalized Recommendations
Show steps
Seek guidance from experienced professionals in the field of personalized recommendations to enhance your understanding and career prospects.
Browse courses on
Personalized Recommendations
Show steps
Show steps
Show steps
- Identify potential mentors through networking events or online platforms.
- Reach out to mentors with a personalized introduction and request for guidance.
Solve Amazon Personalize Hands-on Labs
Show steps
Gain practical experience with Amazon Personalize by completing hands-on labs that guide you through building and deploying recommendation systems.
Browse courses on
Amazon Personalize
Show steps
Show steps
Show steps
- Follow the instructions provided in the lab manuals.
- Configure and train models.
- Analyze results and troubleshoot issues.
Develop a Personalized Recommendation System Prototype
Show steps
Apply the concepts learned in the course to create a working prototype of a personalized recommendation system.
Browse courses on
Personalized Recommendations
Show steps
Show steps
Show steps
- Define the problem statement and data requirements.
- Choose appropriate Amazon Personalize features and models.
- Build and train the recommendation system.
- Evaluate the performance and fine-tune the system.
Develop a personalized recommendation system prototype
Show steps
Apply your learning by creating a working prototype to demonstrate your understanding of personalized recommendations and Amazon Personalize.
Browse courses on
Software Development
Show steps
Show steps
Show steps
- Define the scope and goals of your prototype.
- Choose a dataset and data format that aligns with your project.
- Build and train a personalized recommendation model using Amazon Personalize.
- Design and implement a user interface for your prototype.
- Test and evaluate your prototype to identify areas for improvement.
Contribute to Amazon Personalize Open Source Projects
Show steps
Deepen your understanding of Amazon Personalize by contributing to its open source projects and collaborating with the community.
Browse courses on
Amazon Personalize
Show steps
Show steps
Show steps
- Explore the Amazon Personalize GitHub repository.
- Identify areas where you can contribute.
- Submit pull requests with your code and documentation changes.
Career center
Learners who complete Transform Customer Experience with Personalization will develop knowledge and skills
that may be useful to these careers:
Product Manager
Product Manager
Product Managers use data to improve the customer experience of a product or service. Our course on transforming customer experience with personalization will help you understand the importance of personalized recommendations from Amazon Personalize. Learn how to create personalized experiences that convert casual shoppers to brand loyalists and even brand ambassadors.
Marketing Manager
Marketing Manager
Marketing Managers need to understand how customers think and behave to successfully execute marketing campaigns. This course will help you achieve this by providing you with an understanding of how to use machine learning for personalized recommendations with Amazon Personalize. This course will provide you with the knowledge and skills you need to improve customer engagement, retention, and conversion.
Data Analyst
Data Analyst
Data Analysts who want to better understand customer behavior can take this course on transforming customer experience with personalization. In the course, you'll use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Business Analyst
Business Analyst
Business Analysts who are focused on improving the customer experience may be interested in this course on transforming customer experience with personalization. Through this course, you'll use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Software Engineer
Software Engineer
Software Engineers who want to build more personalized customer experiences may be interested in this course. In the course, you will learn how to use machine learning for personalized recommendations with Amazon Personalize. This course will help you build the skills you need to create more engaging and rewarding shopping experiences.
UX Designer
UX Designer
UX Designers who want to create more personalized customer experiences may be interested in this course. In the course, you will learn how to use machine learning for personalized recommendations with Amazon Personalize. This course may help you understand more about the technical aspects of personalization, allowing you to work more closely with engineers to implement your designs.
eCommerce Manager
eCommerce Manager
Ecommerce Managers who want to improve the customer experience of their online store may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Customer Success Manager
Customer Success Manager
Customer Success Managers who want to improve the customer experience of their clients may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Sales Manager
Sales Manager
Sales Managers who want to improve the customer experience of their team may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Project Manager
Project Manager
Project Managers who are working on projects related to customer experience may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Digital Marketing Manager
Digital Marketing Manager
Digital Marketing Managers who want to improve the customer experience of their campaigns may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Content Manager
Content Manager
Content Managers who want to improve the customer experience of their content may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Social Media Manager
Social Media Manager
Social Media Managers who want to improve the customer experience through their social marketing may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Market Researcher
Market Researcher
Market Researchers who want to learn how to use personalized recommendations to improve the customer experience may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
Strategy Consultant
Strategy Consultant
Strategy Consultants who are working on projects related to customer experience may be interested in this course on transforming customer experience with personalization. Learn how to use personalized recommendations powered by Amazon Personalize to improve customer engagement, retention, and conversion.
For more career information including salaries, visit:
OpenCourser.com/course/6r2c64/transform
Reading list
We've selected six 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
Transform Customer Experience with Personalization.
Will teach you how to use personalization in your marketing campaigns to improve results.
Will help you understand the importance of creating memorable experiences for your customers.
Will help you understand the importance of customer loyalty and how personalization can help you build stronger relationships with your customers.
Dives deep into the ethical and societal implications of personalization and will help you understand the potential risks and rewards of using personalization data.
Save
Will broaden your thinking about the importance of personalization in today's economy.
Save
Will help you understand the importance of finding your 'why' and how it can help you connect with your customers on a deeper level.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6r2c64/transform
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Time
20 hours
Level
Introductory
Via
Pluralsight
Instructor
Pluralsight LIVE
Language
English
Good to know
Examines how machine learning can be used to improve customer engagement and conversion rates
Develops skills in using Amazon Personalize, a tool for making personalized recommendations
Meets the needs of marketers and e-commerce professionals looking to enhance customer experiences
Requires no prior experience with machine learning or Amazon Personalize
Provides insights into industry best practices for personalized marketing
Taught by Megan Bos, an experienced Amazon Web Services professional
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