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AWS Instructor
With Amazon Kendra, you can provide employees and customers with an intelligent search service that uses natural language processing and advanced machine learning algorithms to return specific answers to search questions from your data.
In this course, you will learn the benefits and technical concepts of Amazon Kendra. You will learn about the native architecture and how the built-in features can help you manage documents that you want to search. If you are new to the service, you will learn how to start with Amazon Kendra through a demonstration using the AWS Management Console.
Register for this course and see more details by visiting:
OpenCourser.com/course/u2l0l9/amazon
What's inside
Syllabus
Amazon Kendra Getting Started
With Amazon Kendra, you can provide employees and customers with an intelligent search service that uses natural language processing and advanced machine learning algorithms to return specific answers to search questions from your data.
In this course, you will learn the benefits and technical concepts of Amazon Kendra. You will learn about the native architecture and how the built-in features can help you manage documents that you want to search. If you are new to the service, you will learn how to start with Amazon Kendra through a demonstration using the AWS Management Console.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches Amazon Kendra, a useful tool for implementing intelligent search services
Builds a strong foundation in Amazon Kendra's architecture and features
Taught by AWS instructors, who have extensive experience in the field
Provides a hands-on demonstration using the AWS Management Console for beginners
Save this course
Save Amazon Kendra Getting Started 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 Amazon Kendra Getting Started with these
activities:
Review Fundamentals of Natural Language Processing
Show steps
Strengthen your foundation by reviewing the core concepts of natural language processing.
Browse courses on
Natural Language Processing
Show steps
-
Go through your notes or textbooks on NLP.
-
Review online resources or articles.
-
Complete practice exercises or quizzes.
Complete Amazon Kendra Tutorials
Show steps
Review essential concepts of Amazon Kendra by completing official tutorials.
Show steps
-
Navigate to the Amazon Kendra developer guide.
-
Review the getting started guide.
-
Complete the tutorial to create an index.
-
Work through the tutorial on adding documents to your index.
Attend an Amazon Kendra Workshop
Show steps
Gain practical knowledge and insights from experts by attending a workshop.
Show steps
-
Find an upcoming Amazon Kendra workshop.
-
Register and attend the workshop.
-
Actively participate and ask questions.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Practice implementation of an Amazon Kendra solution using a sample dataset
Show steps
Get hands-on experience and reinforce your understanding of Amazon Kendra's implementation.
Show steps
-
Explore the sample dataset and identify the relevant data sources.
-
Configure and create an Amazon Kendra index with the sample dataset.
-
Develop a frontend application to interact with the Amazon Kendra index.
-
Test the functionality of the Amazon Kendra solution using the frontend application.
Join a Study Group
Show steps
Enhance your understanding by discussing concepts and working on problems with peers.
Show steps
-
Find or create a study group focused on Amazon Kendra.
-
Meet regularly to discuss the course material.
-
Collaborate on projects or assignments.
Create a personalized Kendra experience for users in different locations
Show steps
Enhance your ability to tailor Amazon Kendra to specific user needs and improve their search experience.
Show steps
-
Review the documentation on Amazon Kendra's language and location features.
-
Configure language-specific indexes for different user locations.
-
Customize the search experience using custom query rules and synonyms.
Practice Building Custom Attributes
Show steps
Sharpen your skills by creating custom attributes and indexing documents.
Browse courses on
Custom Attributes
Show steps
-
Design custom attributes relevant to your data.
-
Create an index and add your custom attributes.
-
Upload documents with varying attribute values.
-
Test your search queries using the custom attributes.
Present a use case for implementing Amazon Kendra in an organization
Show steps
Develop your communication and articulation skills while demonstrating your understanding of Amazon Kendra's applications.
Show steps
-
Identify a specific business problem that Amazon Kendra can solve.
-
Research and gather data to support your use case.
-
Create a presentation that outlines the problem, solution, and expected benefits.
-
Practice your presentation and deliver it to an audience.
Create a Knowledge Base Article
Show steps
Deepen your understanding by creating a knowledge base article related to the concepts of Amazon Kendra.
Browse courses on
Knowledge Base
Show steps
-
Identify a topic relevant to Amazon Kendra.
-
Research and gather information.
-
Write a well-structured and informative article.
-
Share your article with others.
Design a Search Solution for a Real-World Use Case
Show steps
Apply your knowledge by designing a search solution that leverages the capabilities of Amazon Kendra for a specific business or industry.
Browse courses on
Real-World Applications
Show steps
-
Identify a problem or need that can be addressed with a search solution.
-
Research different use cases of Amazon Kendra.
-
Design the architecture of your search solution.
-
Create a prototype or mock-up.
Review Fundamentals of Natural Language Processing
Show steps
Strengthen your foundation by reviewing the core concepts of natural language processing.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Go through your notes or textbooks on NLP.
- Review online resources or articles.
- Complete practice exercises or quizzes.
Complete Amazon Kendra Tutorials
Show steps
Review essential concepts of Amazon Kendra by completing official tutorials.
Show steps
Show steps
Show steps
- Navigate to the Amazon Kendra developer guide.
- Review the getting started guide.
- Complete the tutorial to create an index.
- Work through the tutorial on adding documents to your index.
Attend an Amazon Kendra Workshop
Show steps
Gain practical knowledge and insights from experts by attending a workshop.
Show steps
Show steps
Show steps
- Find an upcoming Amazon Kendra workshop.
- Register and attend the workshop.
- Actively participate and ask questions.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Practice implementation of an Amazon Kendra solution using a sample dataset
Show steps
Get hands-on experience and reinforce your understanding of Amazon Kendra's implementation.
Show steps
Show steps
Show steps
- Explore the sample dataset and identify the relevant data sources.
- Configure and create an Amazon Kendra index with the sample dataset.
- Develop a frontend application to interact with the Amazon Kendra index.
- Test the functionality of the Amazon Kendra solution using the frontend application.
Join a Study Group
Show steps
Enhance your understanding by discussing concepts and working on problems with peers.
Show steps
Show steps
Show steps
- Find or create a study group focused on Amazon Kendra.
- Meet regularly to discuss the course material.
- Collaborate on projects or assignments.
Create a personalized Kendra experience for users in different locations
Show steps
Enhance your ability to tailor Amazon Kendra to specific user needs and improve their search experience.
Show steps
Show steps
Show steps
- Review the documentation on Amazon Kendra's language and location features.
- Configure language-specific indexes for different user locations.
- Customize the search experience using custom query rules and synonyms.
Practice Building Custom Attributes
Show steps
Sharpen your skills by creating custom attributes and indexing documents.
Browse courses on
Custom Attributes
Show steps
Show steps
Show steps
- Design custom attributes relevant to your data.
- Create an index and add your custom attributes.
- Upload documents with varying attribute values.
- Test your search queries using the custom attributes.
Present a use case for implementing Amazon Kendra in an organization
Show steps
Develop your communication and articulation skills while demonstrating your understanding of Amazon Kendra's applications.
Show steps
Show steps
Show steps
- Identify a specific business problem that Amazon Kendra can solve.
- Research and gather data to support your use case.
- Create a presentation that outlines the problem, solution, and expected benefits.
- Practice your presentation and deliver it to an audience.
Create a Knowledge Base Article
Show steps
Deepen your understanding by creating a knowledge base article related to the concepts of Amazon Kendra.
Browse courses on
Knowledge Base
Show steps
Show steps
Show steps
- Identify a topic relevant to Amazon Kendra.
- Research and gather information.
- Write a well-structured and informative article.
- Share your article with others.
Design a Search Solution for a Real-World Use Case
Show steps
Apply your knowledge by designing a search solution that leverages the capabilities of Amazon Kendra for a specific business or industry.
Browse courses on
Real-World Applications
Show steps
Show steps
Show steps
- Identify a problem or need that can be addressed with a search solution.
- Research different use cases of Amazon Kendra.
- Design the architecture of your search solution.
- Create a prototype or mock-up.
Career center
Learners who complete Amazon Kendra Getting Started will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve data analysis and insights.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models to solve business problems. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the accuracy and performance of machine learning models.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the search functionality of software applications.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns and to make recommendations for improving business outcomes. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the accuracy and efficiency of data analysis.
Product Manager
Product Manager
A Product Manager manages the development and launch of new products and features. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the search functionality of products and features.
Information Technology Specialist
Information Technology Specialist
An Information Technology Specialist provides technical support and assistance to users of computer systems and networks. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the accuracy and efficiency of technical support.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation for software and other products. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the accuracy and completeness of technical documentation.
User Experience Designer
User Experience Designer
A User Experience Designer designs and evaluates the user experience of products and services. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the findability and usability of products and services.
Information Architect
Information Architect
An Information Architect designs and organizes information systems to make them easy to find and use. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the design and organization of information systems.
Content Strategist
Content Strategist
A Content Strategist plans and executes content strategies to achieve business goals. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the findability and relevance of content.
Technical Support Specialist
Technical Support Specialist
A Technical Support Specialist provides technical support to users of software and other products. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the accuracy and efficiency of technical support.
Knowledge Management Specialist
Knowledge Management Specialist
A Knowledge Management Specialist manages and organizes knowledge and information to make it accessible and useful to others. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the organization and accessibility of knowledge and information.
Data Librarian
Data Librarian
A Data Librarian manages and organizes data to make it accessible and useful to others. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the organization and accessibility of data.
Library Media Specialist
Library Media Specialist
A Library Media Specialist manages and organizes library resources and provides instruction to students and staff. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the findability and accessibility of library resources.
Search Engineer
Search Engineer
A Search Engineer designs and implements search solutions to improve the user experience of search engines. This course may be useful for this role as it provides a foundation in using Amazon Kendra, a cloud-based search service that uses machine learning algorithms to return specific answers to search queries, to improve the accuracy and relevance of search results.
For more career information including salaries, visit:
OpenCourser.com/course/u2l0l9/amazon
Reading list
We've selected ten 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
Amazon Kendra Getting Started.
Provides a comprehensive introduction to natural language processing (NLP), a field of computer science concerned with giving computers the ability to understand and generate human language. NLP is essential for many applications, such as machine translation, text summarization, and question answering, and this book covers the fundamental concepts and algorithms used in NLP.
Save
Provides a comprehensive overview of machine learning, including the fundamental concepts, algorithms, and applications. It valuable reference for anyone looking to understand the basics of machine learning or to learn more about advanced topics.
Save
Provides a comprehensive overview of deep learning, a subfield of machine learning concerned with training artificial neural networks. It covers various deep learning architectures and techniques and can serve as a valuable reference for anyone looking to learn more about or use deep learning.
Provides a collection of practical recipes for building and training machine learning models using TensorFlow 2.0. It covers a wide range of topics, from data preprocessing and model selection to model evaluation and deployment. This book valuable reference for anyone looking to use TensorFlow 2.0 for machine learning projects.
Provides a comprehensive overview of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. It covers various algorithms and techniques and can serve as a valuable reference for anyone looking to learn more about or use machine learning algorithms.
Provides a practical introduction to machine learning using Python and the popular machine learning libraries Scikit-Learn, Keras, and TensorFlow. It covers a wide range of topics, from data preprocessing and model selection to model evaluation and deployment.
Provides a comprehensive overview of statistical learning, including the fundamental concepts, algorithms, and applications. It valuable reference for anyone looking to understand the basics of statistical learning or to learn more about advanced topics.
Provides a comprehensive overview of pattern recognition and machine learning, including the fundamental concepts, algorithms, and applications. It valuable reference for anyone looking to understand the basics of pattern recognition and machine learning or to learn more about advanced topics.
Provides a comprehensive overview of probabilistic graphical models, including the fundamental concepts, algorithms, and applications. It valuable reference for anyone looking to understand the basics of probabilistic graphical models or to learn more about advanced topics.
Provides a comprehensive overview of Bayesian reasoning and machine learning, including the fundamental concepts, algorithms, and applications. It valuable reference for anyone looking to understand the basics of Bayesian reasoning and machine learning or to learn more about advanced topics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/u2l0l9/amazon
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Via
Coursera
Institution
Amazon Web Services
Instructor
AWS Instructor
Language
English
Good to know
Teaches Amazon Kendra, a useful tool for implementing intelligent search services
Builds a strong foundation in Amazon Kendra's architecture and features
Taught by AWS instructors, who have extensive experience in the field
Provides a hands-on demonstration using the AWS Management Console for beginners
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