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Knowledge Mining With Azure Cognitive Search
Matt Swaffer
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
Register for this course and see more details by visiting:
OpenCourser.com/course/h6wqik/knowledge
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.
Read more
Syllabus
Welcome to the course! In this lesson, we'll cover the course prerequisites and environment, and introduce Azure Cognitive Search solutions.
Read more
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
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
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We're preparing activities for
Knowledge Mining With Azure Cognitive Search.
These are activities you can do either before, during, or after a course.
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 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.
Data Analyst
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.
Data Scientist
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.
Search Engineer
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.
Knowledge Management Specialist
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.
Information Architect
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.
Business Analyst
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.
Product Manager
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.
UX Designer
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.
Software Engineer
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.
Marketing Analyst
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.
Content Strategist
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.
Librarian
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.
Archivist
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.
Technical Writer
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.
For more career information including salaries, visit:
OpenCourser.com/course/h6wqik/knowledge
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.
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/h6wqik/knowledge
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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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