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Knowledge Mining With Azure Cognitive Search

Matt Swaffer

Develop and implement an Azure Cognitive Search solution for knowledge mining with Udacity's cognitive search training course. Enroll now for a brighter future

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What's inside

Syllabus

Welcome to the course! In this lesson, we'll cover the course prerequisites and environment, and introduce Azure Cognitive Search solutions.
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In this lesson, you'll learn about defining requirements and designing Cognitive Search solutions
In this lesson, you'll import data into Azure Cognitive Search and learn how to configure Indexes, Indexers, and Enrichments.
In this lesson, you'll learn about enriching data and creating skills and skillsets in Azure Cognitive Search
In this lesson, you'll learn how to consume Azure Cognitive Search in external applications and monitor the performance of solutions
Put all the skills you've learned into practice to build an Azure Cognitive Search solution. In this project, you'll build an AI-enriched corporate training catalog using multiple data sources.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers tools and knowledge relevant to employment in tech
Teaches methods and tools relevant to research
May require familiarity with Azure Cognitive Search

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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 Knowledge Mining With Azure Cognitive Search with these activities:
Review Azure Cognitive Search Basics
Review the fundamentals of Azure Cognitive Search to strengthen your understanding before starting the course.
Browse courses on Azure Cognitive Search
Show steps
  • Read through Microsoft's documentation on Azure Cognitive Search
  • Watch tutorial videos on YouTube or other platforms
  • Take a practice quiz to test your knowledge
Create a Simple Search Index
Practice creating a basic search index to reinforce your understanding of the process.
Browse courses on Azure Cognitive Search
Show steps
  • Follow the steps in the Azure Cognitive Search documentation
  • Use the Azure Cognitive Search portal to create an index
  • Test your index by querying it
Volunteer for an Organization Using Azure Cognitive Search
Gain practical experience and contribute to a meaningful cause by volunteering for an organization that uses Azure Cognitive Search.
Browse courses on Azure Cognitive Search
Show steps
  • Research organizations that use Azure Cognitive Search
  • Identify opportunities to contribute your skills
  • Contact the organization and offer your services
  • Make a meaningful contribution to the organization
  • Network with other professionals in the field
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow a Guided Tutorial on Azure Cognitive Search Enrichments
Enhance your knowledge of Azure Cognitive Search enrichments by following a guided tutorial.
Browse courses on Azure Cognitive Search
Show steps
  • Find a tutorial on Microsoft's documentation or other reputable sources
  • Follow the steps in the tutorial to create and use enrichments
  • Experiment with different enrichment types to see how they work
  • Apply what you learn to your own search application
  • Share your experience and findings in the discussion forums
Mentor New Azure Cognitive Search Users
Reinforce your knowledge and help others by mentoring new Azure Cognitive Search users.
Browse courses on Mentoring
Show steps
  • Join a community or forum related to Azure Cognitive Search
  • Offer your help to those who are struggling
  • Share your knowledge and experience
  • Provide constructive feedback
  • Be patient and supportive
Build an Azure Cognitive Search Solution for a Custom Use Case
Apply your skills by building a custom Azure Cognitive Search solution to deepen your understanding and gain practical experience.
Browse courses on Search Solutions
Show steps
  • Identify a specific use case for Azure Cognitive Search
  • Design and implement a search solution using Azure Cognitive Search
  • Test and evaluate your solution
  • Present your solution to others
Participate in a Hackathon or Competition Related to Azure Cognitive Search
Challenge yourself and showcase your skills by participating in a hackathon or competition related to Azure Cognitive Search.
Show steps
  • Find a hackathon or competition that aligns with your interests
  • Form a team or work independently
  • Develop a creative and innovative solution
  • Present your solution to a panel of judges
  • Receive feedback and learn from the experience

Career center

Learners who complete Knowledge Mining With Azure Cognitive Search will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers design and manage data architectures for organizations, ensuring that data is available, reliable, and secure. Knowledge Mining with Azure Cognitive Search can help Data Engineers build pipelines that automate the process of extracting knowledge from data, providing valuable insights for decision-making. This course's coverage of data enrichment, indexing, and search optimization skills can particularly benefit Data Engineers.
See salaries and explore the career path for Data Engineer
Data Analyst
Data Analysts collect, analyze, and interpret data to provide insights for decision-making. Knowledge Mining with Azure Cognitive Search can help Data Analysts uncover hidden patterns and extract valuable information from large and complex datasets. The course's focus on natural language processing and enrichment techniques can enhance their ability to derive meaningful insights from unstructured data.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists use scientific methods and statistical analysis to extract knowledge and insights from data. Knowledge Mining with Azure Cognitive Search can help Data Scientists develop AI-powered solutions for knowledge discovery. The course's coverage of machine learning algorithms, data modeling, and visualization techniques can provide valuable skills for building predictive models and uncovering insights from data.
See salaries and explore the career path for Data Scientist
Search Engineer
Search Engineers design, develop, and optimize search engines for websites and applications. Knowledge Mining with Azure Cognitive Search provides a solid foundation for Search Engineers to build and improve search experiences. The course's coverage of indexing, ranking, and relevance tuning can help them create efficient and user-friendly search engines.
See salaries and explore the career path for Search Engineer
Knowledge Management Specialist
Knowledge Management Specialists are responsible for organizing, storing, and sharing knowledge within an organization. Knowledge Mining with Azure Cognitive Search can help Knowledge Management Specialists implement knowledge management systems that leverage AI and natural language processing to automate knowledge extraction and improve knowledge discoverability.
See salaries and explore the career path for Knowledge Management Specialist
Information Architect
Information Architects design and organize information systems to ensure that they are user-friendly and meet the needs of users. Knowledge Mining with Azure Cognitive Search can help Information Architects understand the structure and relationships within data, enabling them to create effective information architectures that support knowledge discovery and retrieval.
See salaries and explore the career path for Information Architect
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. Knowledge Mining with Azure Cognitive Search can help Business Analysts gain insights into customer behavior, market trends, and operational data. The course's emphasis on data visualization and reporting can equip them with skills to present findings effectively to stakeholders.
See salaries and explore the career path for Business Analyst
Product Manager
Product Managers are responsible for managing the development and launch of new products and features. Knowledge Mining with Azure Cognitive Search can help Product Managers understand customer needs and gather feedback through analysis of user data and market research. This course may be particularly useful for Product Managers in data-driven industries.
See salaries and explore the career path for Product Manager
UX Designer
UX Designers focus on improving the user experience of websites and applications. Knowledge Mining with Azure Cognitive Search can help UX Designers understand how users interact with search interfaces and extract insights to improve search functionality and user satisfaction.
See salaries and explore the career path for UX Designer
Software Engineer
Software Engineers design, develop, and maintain software systems. Knowledge Mining with Azure Cognitive Search provides a good foundation for Software Engineers who want to specialize in developing search-related applications or integrating cognitive search capabilities into existing systems.
See salaries and explore the career path for Software Engineer
Marketing Analyst
Marketing Analysts analyze marketing campaigns and customer data to identify trends and opportunities. Knowledge Mining with Azure Cognitive Search can help Marketing Analysts extract insights from customer feedback, social media data, and market research. This course may be particularly useful for Marketing Analysts who want to leverage AI and data analytics to improve marketing strategies.
See salaries and explore the career path for Marketing Analyst
Content Strategist
Content Strategists develop and manage content for websites, social media, and other channels. Knowledge Mining with Azure Cognitive Search can help Content Strategists understand how users search for and consume content, enabling them to create more relevant and engaging content.
See salaries and explore the career path for Content Strategist
Librarian
Librarians organize and manage information resources for libraries and other institutions. Knowledge Mining with Azure Cognitive Search can help Librarians implement digital knowledge management systems, improve search functionality, and provide personalized recommendations to users.
See salaries and explore the career path for Librarian
Archivist
Archivists preserve and manage historical records and documents. Knowledge Mining with Azure Cognitive Search can help Archivists organize and analyze digital archives, extract insights from historical data, and make archives more accessible to researchers.
See salaries and explore the career path for Archivist
Technical Writer
Technical Writers create documentation and user manuals for software, products, and services. Knowledge Mining with Azure Cognitive Search can help Technical Writers extract information from complex technical data and present it in a clear and concise manner.
See salaries and explore the career path for Technical Writer

Reading list

We've selected five 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 Knowledge Mining With Azure Cognitive Search.
Cover image
Natural Language Processing with Python
Save
Provides a comprehensive overview of natural language processing (NLP) techniques and algorithms. It covers topics like text classification, sentiment analysis, and named entity recognition, which are essential for building intelligent search solutions.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Deep Learning with Python, Second Edition
Save
Offers a practical introduction to deep learning using Python. It covers fundamental concepts like neural networks, convolutional neural networks, and recurrent neural networks, which are relevant for understanding the AI capabilities of Azure Cognitive Search.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$
Cover image
Elasticsearch: The Definitive Guide
Save
This comprehensive guide to Elasticsearch, another popular search engine, offers valuable insights into distributed search, data indexing, and query optimization. It can complement the course by providing a broader perspective on search engine technologies.
Elasticsearch: The Definitive Guide: A Distributed...
Paperback
$$
Elasticsearch: The Definitive Guide: A Distributed...
Kindle Edition
$$
Cover image
AI and Machine Learning for Coders
Save
Provides a practical guide to using AI and machine learning to build real-world applications. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
AI and Machine Learning for Coders
Paperback
Check
AI and Machine Learning for Coders
Kindle Edition
Check
Cover image
Machine Learning with R
Save
Provides a practical guide to using R to build and deploy machine learning solutions. It covers a wide range of topics, including data preparation, feature engineering, and model training.
Machine Learning with R - Fourth Edition: Learn...
Paperback
$$
Machine Learning with R - Second Edition: Expert...
Kindle Edition
$$
Machine Learning with R - Third Edition: Expert...
Paperback
$$
(Italiano) Machine Learning con R: Conoscere le tecniche per...
Kindle Edition
$$
R: Unleash Machine Learning Techniques
Kindle Edition
$$$
Machine Learning with R: Learn How to Use R to...
Paperback
$$
(中文) Machine learning and R language (3rd edition of the...
Paperback
$$

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Effort
4 weeks
Via
Udacity
Instructor
Matt Swaffer
Language
English
Good to know
Covers tools and knowledge relevant to employment in tech
Teaches methods and tools relevant to research
May require familiarity with Azure Cognitive Search
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