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Build your first Search Engine using AWS Kendra

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.

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What's inside

Syllabus

Build your first Enterprise Search Engine Using Amazon Kendra

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

Coming soon We're preparing activities for Build your first Search Engine using AWS Kendra. These are activities you can do either before, during, or after a course.

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 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 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 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
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 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 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 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 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 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 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 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 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 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 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 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.

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.
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.
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.
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.
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.
Provides a comprehensive overview of designing data-intensive applications, including their architecture, patterns, and challenges.

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