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Ranjan Relan
This project is focused on building your first search engine using Amazon Kendra without writing a single line of code. By the end of this guided project, you will be able to build your first enterprise search engine by leveraging Amazon’s Kendra. Search as a capability is an important feature which is required by almost all medium and large enterprises as search helps filter relevant and required information in the world of big data. Search helps find relevant information quickly and saves time to go through vast information. Google’s first product was search engine, Amazon leverages search capability to browse the millions of products listed on its marketplace, Facebook has search capability for its users to find friends based on name, location, etc. and Microsoft also has its own bing search engine. AWS Kendra provides search as a service capability and as part of this guided project we shall study how to build a search engine.
Register for this course and see more details by visiting:
OpenCourser.com/course/a2sibn/build
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What's inside
Syllabus
Build your first Enterprise Search Engine Using Amazon Kendra
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds real world skills in using Amazon Kendra's tools and services for customizing a search engine
Suitable for Learners interested in expanding their skills in enterprise search engine optimization
Taught by an experienced instructor who contributes to the development of the technology taught in this course
This project-based course allows learners to create a fully functional search engine by leveraging Amazon Kendra without writing any code
Suitable for beginners seeking to expand their understanding of enterprise search engine
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Reviews summary
Introductory course to aws kendra
Learners say this introductory course to AWS Kendra is easy to follow and gives a clear understanding of what AWS Kendra is and what it does.
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 Build your first Search Engine using AWS Kendra with these
activities:
Explore Amazon Kendra Sandbox
Show steps
Exploring Amazon Kendra Sandbox will provide you with a practical understanding of the platform's capabilities.
Show steps
-
Sign up for Amazon Kendra Sandbox
-
Follow the guided tutorials
Review Basic Python Programming
Show steps
Strengthen your foundation by reviewing basic Python programming concepts. This will ensure that you have a solid understanding of the programming language used in the Amazon Kendra API, enabling you to work more effectively with it.
Browse courses on
Python
Show steps
-
Review variables, data types, and operators
-
Practice writing simple Python programs
Recall Information Retrieval Concepts
Show steps
Refresh your memory on fundamental information retrieval concepts. This will provide a strong foundation for understanding the inner workings of Amazon Kendra and empowering you to optimize your search engine effectively.
Browse courses on
Information Retrieval
Show steps
-
Review text processing techniques
-
Recall ranking algorithms
-
Explore evaluation metrics for search engines
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Review prior knowledge of cloud computing concepts
Show steps
Begin by revisiting the basics of cloud computing to strengthen your foundation for this course.
Browse courses on
Cloud Computing Concepts
Show steps
-
Review notes or textbooks on cloud computing fundamentals
-
Complete online tutorials or quizzes on cloud computing concepts
-
Attend a webinar or workshop on cloud computing
Complete the AWS Kendra Quickstart Tutorial
Show steps
Gain hands-on experience with Kendra by following AWS's guided tutorial.
Show steps
-
Set up an AWS account and create a Kendra index
-
Add documents to your index
-
Query your index using the Kendra console
Develop a Content Plan for Your Search Engine
Show steps
Enhance your understanding of search engine content optimization by creating a content plan for your own search engine. This will help you appreciate the importance of relevant and engaging content in improving search results.
Show steps
-
Identify your target audience
-
Research your target audience's needs
-
Plan your content strategy
-
Create high-quality content
Follow a tutorial on using Amazon Kendra Cloud Tech Tools
Show steps
Familiarize yourself with Amazon Kendra and learn its essential features to build your search engine project.
Show steps
-
Find and select a suitable tutorial on YouTube or Coursera.
-
Follow the steps in the tutorial carefully, experimenting with the features and code.
-
Take notes and jot down any questions you may have.
Work through practice exercises on Amazon Kendra documentation
Show steps
Strengthen your understanding of Amazon Kendra's capabilities by completing practice exercises and exploring its documentation.
Show steps
-
Visit the Amazon Kendra documentation website.
-
Locate and select the practice exercises section.
-
Work through the exercises, following the instructions and experimenting with the code.
Practice building search queries using Kendra's syntax
Show steps
Enhance your understanding of Kendra's search capabilities by practicing query construction.
Show steps
-
Refer to Kendra documentation for query syntax
-
Create sample documents or data to search against
-
Formulate search queries using various operators and filters
-
Evaluate the relevance and effectiveness of your search results
Tutorial: Building a Search Engine with Amazon Kendra
Show steps
Leverage this guided tutorial to gain hands-on experience in building your own search engine using Amazon Kendra, solidifying your understanding of the course concepts.
Show steps
-
Follow the tutorial's step-by-step instructions
-
Experiment with different configuration options
-
Troubleshoot any issues that arise
Build a Personal Search Engine for Your Own Data
Show steps
Put your learning into practice by creating your own search engine for data that you possess. This hands-on project will reinforce your understanding of how to apply Amazon Kendra to real-world scenarios.
Show steps
-
Gather and prepare your data
-
Create an Amazon Kendra index
-
Build a user interface for your search engine
-
Evaluate the performance of your search engine
Develop a prototype search engine using Amazon Kendra
Show steps
Apply your understanding of Amazon Kendra to create a tangible prototype of your own search engine, solidifying your learning.
Show steps
-
Determine the specific requirements and scope of your search engine.
-
Design the architecture and user interface for your prototype.
-
Implement the search engine using Amazon Kendra's APIs and services.
-
Test and refine your prototype to ensure it meets the desired functionality.
Develop a search engine prototype using Kendra
Show steps
Apply your learning by creating a functional search engine prototype.
Show steps
-
Define the scope and requirements of your search engine
-
Design the user interface and search functionality
-
Integrate Kendra into your prototype
-
Test and refine your prototype
Explore Amazon Kendra Sandbox
Show steps
Exploring Amazon Kendra Sandbox will provide you with a practical understanding of the platform's capabilities.
Show steps
Show steps
Show steps
- Sign up for Amazon Kendra Sandbox
- Follow the guided tutorials
Review Basic Python Programming
Show steps
Strengthen your foundation by reviewing basic Python programming concepts. This will ensure that you have a solid understanding of the programming language used in the Amazon Kendra API, enabling you to work more effectively with it.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review variables, data types, and operators
- Practice writing simple Python programs
Recall Information Retrieval Concepts
Show steps
Refresh your memory on fundamental information retrieval concepts. This will provide a strong foundation for understanding the inner workings of Amazon Kendra and empowering you to optimize your search engine effectively.
Browse courses on
Information Retrieval
Show steps
Show steps
Show steps
- Review text processing techniques
- Recall ranking algorithms
- Explore evaluation metrics for search engines
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Review prior knowledge of cloud computing concepts
Show steps
Begin by revisiting the basics of cloud computing to strengthen your foundation for this course.
Browse courses on
Cloud Computing Concepts
Show steps
Show steps
Show steps
- Review notes or textbooks on cloud computing fundamentals
- Complete online tutorials or quizzes on cloud computing concepts
- Attend a webinar or workshop on cloud computing
Complete the AWS Kendra Quickstart Tutorial
Show steps
Gain hands-on experience with Kendra by following AWS's guided tutorial.
Show steps
Show steps
Show steps
- Set up an AWS account and create a Kendra index
- Add documents to your index
- Query your index using the Kendra console
Develop a Content Plan for Your Search Engine
Show steps
Enhance your understanding of search engine content optimization by creating a content plan for your own search engine. This will help you appreciate the importance of relevant and engaging content in improving search results.
Show steps
Show steps
Show steps
- Identify your target audience
- Research your target audience's needs
- Plan your content strategy
- Create high-quality content
Follow a tutorial on using Amazon Kendra Cloud Tech Tools
Show steps
Familiarize yourself with Amazon Kendra and learn its essential features to build your search engine project.
Show steps
Show steps
Show steps
- Find and select a suitable tutorial on YouTube or Coursera.
- Follow the steps in the tutorial carefully, experimenting with the features and code.
- Take notes and jot down any questions you may have.
Work through practice exercises on Amazon Kendra documentation
Show steps
Strengthen your understanding of Amazon Kendra's capabilities by completing practice exercises and exploring its documentation.
Show steps
Show steps
Show steps
- Visit the Amazon Kendra documentation website.
- Locate and select the practice exercises section.
- Work through the exercises, following the instructions and experimenting with the code.
Practice building search queries using Kendra's syntax
Show steps
Enhance your understanding of Kendra's search capabilities by practicing query construction.
Show steps
Show steps
Show steps
- Refer to Kendra documentation for query syntax
- Create sample documents or data to search against
- Formulate search queries using various operators and filters
- Evaluate the relevance and effectiveness of your search results
Tutorial: Building a Search Engine with Amazon Kendra
Show steps
Leverage this guided tutorial to gain hands-on experience in building your own search engine using Amazon Kendra, solidifying your understanding of the course concepts.
Show steps
Show steps
Show steps
- Follow the tutorial's step-by-step instructions
- Experiment with different configuration options
- Troubleshoot any issues that arise
Build a Personal Search Engine for Your Own Data
Show steps
Put your learning into practice by creating your own search engine for data that you possess. This hands-on project will reinforce your understanding of how to apply Amazon Kendra to real-world scenarios.
Show steps
Show steps
Show steps
- Gather and prepare your data
- Create an Amazon Kendra index
- Build a user interface for your search engine
- Evaluate the performance of your search engine
Develop a prototype search engine using Amazon Kendra
Show steps
Apply your understanding of Amazon Kendra to create a tangible prototype of your own search engine, solidifying your learning.
Show steps
Show steps
Show steps
- Determine the specific requirements and scope of your search engine.
- Design the architecture and user interface for your prototype.
- Implement the search engine using Amazon Kendra's APIs and services.
- Test and refine your prototype to ensure it meets the desired functionality.
Develop a search engine prototype using Kendra
Show steps
Apply your learning by creating a functional search engine prototype.
Show steps
Show steps
Show steps
- Define the scope and requirements of your search engine
- Design the user interface and search functionality
- Integrate Kendra into your prototype
- Test and refine your prototype
Career center
Learners who complete Build your first Search Engine using AWS Kendra will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers work with big data to create structures. They are responsible for data storage, data transformation, and data retrieval. As such, this Amazon Kendra course may be useful in helping data engineers to better understand how to manage searches of large datasets and build systems to access, retrieve, and store data quickly and efficiently.
Data Analyst
Data Analyst
Data Analysts use data to help organizations make better decisions. Many data analysts specialize in a particular industry, such as finance, healthcare, or retail. This Amazon Kendra course may be useful in helping data analysts to better present their data to stakeholders and improve access to data for informed decision making.
Business Analyst
Business Analyst
Business Analysts use data to help organizations improve their business processes. They work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful in helping business analysts to better leverage data to make more informed decisions and lead to better outcomes.
Information Technology (IT) Manager
Information Technology (IT) Manager
IT Managers plan, implement, and maintain computer systems and networks for organizations. They also oversee the work of IT staff and ensure that systems are running smoothly. This Amazon Kendra course may be useful for IT managers by providing them with a better understanding of search engine technology and how to implement and maintain them for their organization's needs.
Software Developer
Software Developer
Software Developers design, develop, test, and maintain software applications. They work with stakeholders to understand needs and develop solutions. This Amazon Kendra course may be useful in helping software developers to build better search functionality into their applications and improve the user experience.
Web Developer
Web Developer
Web Developers design and develop websites. They work with stakeholders to understand needs and develop solutions. This Amazon Kendra course may be useful for web developers by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their websites for a better user experience.
Data Scientist
Data Scientist
Data Scientists use data to develop predictive models and solve business problems. They work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for data scientists by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their data science projects to improve access to data and enhance model performance.
Database Administrator
Database Administrator
Database Administrators plan, implement, and maintain databases for organizations. They also work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for database administrators by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their databases for better data management and faster query performance.
Network Administrator
Network Administrator
Network Administrators plan, implement, and maintain computer networks for organizations. They also work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for network administrators by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their networks for better network management and troubleshooting.
Information Security Analyst
Information Security Analyst
Information Security Analysts plan, implement, and maintain security measures to protect an organization's computer systems and networks. They also work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for information security analysts by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their security systems for better detection and prevention of security breaches.
Network Engineer
Network Engineer
Network Engineers design, develop, and maintain computer networks for organizations. They also work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for network engineers by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their networks for better network management and troubleshooting.
Cloud Architect
Cloud Architect
Cloud Architects design, develop, and maintain cloud computing solutions for organizations. They also work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for cloud architects by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their cloud solutions for better resource management and cost optimization.
System Administrator
System Administrator
System Administrators plan, implement, and maintain computer systems for organizations. They also work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for system administrators by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their systems for better systems management and troubleshooting.
Enterprise Architect
Enterprise Architect
Enterprise Architects design, develop, and maintain the overall architecture of an organization's IT systems. They also work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for enterprise architects by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their enterprise architecture for better systems integration and alignment with business objectives.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design, develop, and maintain data warehouses for organizations. They also work with stakeholders to identify needs and develop solutions. This Amazon Kendra course may be useful for data warehouse architects by providing them with a better understanding of search engine technology and how to implement and maintain search functionality on their data warehouses for better data management and analysis.
For more career information including salaries, visit:
OpenCourser.com/course/a2sibn/build
Reading list
We've selected 12 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
Build your first Search Engine using AWS Kendra.
Save
Practical guide to search engines, covering everything from the design of search algorithms to the evaluation of search results.
By Peter Kent provides a comprehensive overview of search engine optimization (SEO) principles and practices, which are essential for understanding the fundamentals of search engine technology and how to optimize content for visibility and ranking.
By David A. Grossman and Ophir Frieder provides a deep dive into the algorithms and heuristics used in information retrieval systems, offering a theoretical foundation for understanding how search engines work.
By Clinton Gormley and Zachary Tong focuses on using Elasticsearch for enterprise search applications, covering topics such as data modeling, indexing, querying, and scaling.
Provides a comprehensive overview of Elasticsearch, a popular open-source search engine. It covers a wide range of topics, from basic concepts to advanced features.
Save
By Eric Enge, Stephen Spencer, and Jessie Stricchiola offers a practical guide to SEO techniques and strategies, providing valuable insights into how search engines work and how to optimize content for better visibility.
Provides a comprehensive overview of information retrieval, the field of study that deals with the design and implementation of search engines.
Save
By Peter Morville and Jeffrey Callender provides insights into user search behavior and patterns, offering valuable guidance on how to design and optimize search experiences.
Provides a comprehensive overview of natural language processing, including its history, algorithms, and applications.
Save
By Michael McCandless and Erik Hatcher provides a practical guide to using Apache Lucene, a popular Java-based search engine library.
By William B. Frakes provides a deep dive into the data structures and algorithms used in information retrieval systems, offering a technical understanding of how search engines operate.
Save
Provides a comprehensive overview of designing data-intensive applications, including their architecture, patterns, and challenges.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/a2sibn/build
Share
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ranjan Relan
Language
English
Good to know
Builds real world skills in using Amazon Kendra's tools and services for customizing a search engine
Suitable for Learners interested in expanding their skills in enterprise search engine optimization
Taught by an experienced instructor who contributes to the development of the technology taught in this course
This project-based course allows learners to create a fully functional search engine by leveraging Amazon Kendra without writing any code
Suitable for beginners seeking to expand their understanding of enterprise search engine
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