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Azure Practical - Cognitive Services
EDUCBA
4.8
Based on 10 ratings
EDUCBA
Starting with foundational concepts and free-tier account setup, the course delves into real-world applications such as computer vision, face recognition, custom object detection, form and ink recognition, and natural language processing. Learners will gain proficiency in configuring and invoking REST APIs, training models, integrating services into applications, and visualizing insights.
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Starting with foundational concepts and free-tier account setup, the course delves into real-world applications such as computer vision, face recognition, custom object detection, form and ink recognition, and natural language processing. Learners will gain proficiency in configuring and invoking REST APIs, training models, integrating services into applications, and visualizing insights.
Read more
Starting with foundational concepts and free-tier account setup, the course delves into real-world applications such as computer vision, face recognition, custom object detection, form and ink recognition, and natural language processing. Learners will gain proficiency in configuring and invoking REST APIs, training models, integrating services into applications, and visualizing insights.
Advanced modules guide learners through building anomaly detection workflows, implementing decision-making logic via the Personalizer API, and enriching user experiences with Bing-powered web search capabilities. Each module is reinforced with hands-on exercises, quizzes, and application-driven learning objectives aligned with Bloom’s Taxonomy verbs such as "implement," "configure," "differentiate," "evaluate," and "design."
By the end of the course, learners will be able to develop adaptable, AI-enhanced applications capable of processing visual data, interpreting language, detecting anomalies, and providing tailored user experiences in a cloud-first ecosystem.
Register for this course and see more details by visiting:
OpenCourser.com/course/c2ssj9/azure
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What's inside
Syllabus
Getting Started with Azure Cognitive Services
This module introduces learners to the foundational concepts and practical setup of Azure Cognitive Services. It begins by explaining the purpose, scope, and benefits of Cognitive Services, followed by detailed guidance on creating a free-tier Azure account. Learners are then introduced to the Computer Vision and Face APIs, understanding their capabilities, formats, constraints, and how to implement them using tools like Postman. Through hands-on demos, the module empowers learners to recognize and apply key vision-based services provided by Azure, preparing them for more advanced cognitive implementations.
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Syllabus
Getting Started with Azure Cognitive Services
This module introduces learners to the foundational concepts and practical setup of Azure Cognitive Services. It begins by explaining the purpose, scope, and benefits of Cognitive Services, followed by detailed guidance on creating a free-tier Azure account. Learners are then introduced to the Computer Vision and Face APIs, understanding their capabilities, formats, constraints, and how to implement them using tools like Postman. Through hands-on demos, the module empowers learners to recognize and apply key vision-based services provided by Azure, preparing them for more advanced cognitive implementations.
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Career center
Learners who complete Azure Practical - Cognitive Services will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer is at the forefront of designing, building, and deploying intelligent applications that solve complex real-world problems. This role often requires an advanced degree due to its technical depth in algorithms and systems. This course prepares you to excel as an Artificial Intelligence Engineer by providing comprehensive, hands-on experience with Microsoft Azure Cognitive Services. You will learn to analyze, build, deploy, and optimize intelligent applications, directly aligning with the core responsibilities of this profession. The course's focus on configuring REST APIs, training models, integrating services efficiently, and developing within a cloud-first ecosystem is crucial for crafting adaptable, AI-enhanced solutions.
Software Developer Artificial Intelligence
Software Developer Artificial Intelligence
A Software Developer Artificial Intelligence professional specializes in embedding AI capabilities directly into software applications to create smarter, more responsive user experiences. This course is exceptionally well-suited for a Software Developer Artificial Intelligence, as it teaches you to leverage Microsoft Azure Cognitive Services for building, deploying, and optimizing intelligent applications. You will gain proficiency in skills such as configuring and invoking REST APIs, integrating AI services like computer vision, speech processing, and natural language understanding into your applications. Developing adaptable, AI-enhanced applications within a cloud-first ecosystem is a central outcome of this learning journey.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer designs and implements systems that enable computers to understand, interpret, and generate human language. This course is highly relevant for a Natural Language Processing Engineer, dedicating a significant module to language understanding (LUIS), sentiment analysis, entity recognition, and language translation using Azure Cognitive Services. You will explore how to extract meaning and intent from text, gaining practical experience in integrating these powerful speech features into applications for real-time and batch processing. The ability to build applications that interpret language and understand user intent is fundamental to this specialized engineering role.
Computer Vision Engineer
Computer Vision Engineer
A Computer Vision Engineer develops algorithms and systems that allow computers to "see" and interpret images and videos, enabling functionalities like object recognition and facial detection. This course offers comprehensive preparation for a Computer Vision Engineer role through its extensive coverage of Azure's vision-based services. You will engage with Computer Vision and Face APIs, custom object detection, form and ink recognition, and the Video Indexer tool. The hands-on modules empower you to train image classifiers, deploy document-processing workflows, and analyze multimedia content, directly equipping you with the practical skills needed to build sophisticated visual data processing applications.
Conversational Artificial Intelligence Developer
Conversational Artificial Intelligence Developer
A Conversational Artificial Intelligence Developer builds interactive AI systems such as chatbots, virtual assistants, and voice interfaces that can engage in natural dialogue with users. This course provides direct pathways into becoming a Conversational Artificial Intelligence Developer by covering key technologies like QnA Maker for building conversational agents and Language Understanding (LUIS) for interpreting user intent. You will acquire practical skills in configuring these services and integrating speech features into applications. The ability to extract meaning from text and design decision-making logic is essential for creating intelligent and responsive chat or voice-enabled applications.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer focuses on building, deploying, and maintaining machine learning models and systems. While often requiring an advanced degree, this course strengthens your practical skills for this role. It provides expertise in training custom vision models, implementing anomaly detection workflows, and integrating various AI-powered tools into applications. The structured framework empowers you to configure and invoke REST APIs, and optimize intelligent applications, which are integral tasks for a Machine Learning Engineer. The emphasis on hands-on exercises and application-driven learning ensures you can effectively deploy and manage AI solutions in a real-world cloud environment.
Cloud Solutions Architect
Cloud Solutions Architect
A Cloud Solutions Architect designs and implements cloud-based strategies, ensuring systems are scalable, secure, and efficient within platforms like Microsoft Azure. This course enhances your capabilities as a Cloud Solutions Architect by providing a deep, practical understanding of Azure Cognitive Services. You will learn to analyze, build, deploy, and optimize intelligent applications within a cloud-first ecosystem, which is vital for designing robust architectures. The proficiency gained in configuring REST APIs, integrating various AI services, and understanding their capabilities allows you to architect solutions that effectively leverage human cognition-mimicking AI tools to meet business needs.
Technical Consultant Artificial Intelligence
Technical Consultant Artificial Intelligence
A Technical Consultant Artificial Intelligence advises clients on designing, implementing, and integrating artificial intelligence solutions to solve their specific business challenges. This course provides the comprehensive, hands-on expertise essential for a Technical Consultant Artificial Intelligence. You will explore a variety of AI-powered tools, including vision recognition, speech processing, and anomaly detection, and gain proficiency in configuring and invoking REST APIs to integrate these services into applications. The ability to evaluate and design intelligent applications, combined with practical deployment experience in Azure, forms a strong foundation for advising and delivering successful AI projects.
Azure Developer
Azure Developer
An Azure Developer specializes in building, deploying, and managing applications and services within the Microsoft Azure cloud platform. This course provides targeted, practical experience for an Azure Developer by focusing entirely on Microsoft Azure Cognitive Services. You will learn to analyze, build, deploy, and optimize intelligent applications within Azure’s cloud ecosystem, gaining proficiency in configuring REST APIs, training models, and integrating services directly relevant to Azure development. This course empowers you to leverage AI-powered tools such as computer vision, speech services, and natural language processing to create advanced, adaptable applications on the Azure platform.
Intelligent Search Engineer
Intelligent Search Engineer
An Intelligent Search Engineer designs and implements search systems that go beyond keyword matching, providing personalized, context-aware, and highly relevant results to users. This course directly contributes to the skills needed by an Intelligent Search Engineer, particularly through its advanced modules. You will gain hands-on experience in enriching user experiences with Bing-powered web search capabilities and integrating intelligent search results into custom applications. The course's focus on knowledge mining, language understanding, and decision services helps you build search solutions that not only find information but also interpret intent and personalize recommendations for superior user engagement.
Machine Learning Operations Engineer
Machine Learning Operations Engineer
A Machine Learning Operations Engineer focuses on the deployment, monitoring, and maintenance of machine learning models in production environments, ensuring their reliability and scalability. This course strengthens the practical skills required for a Machine Learning Operations Engineer by covering the deployment and optimization of intelligent applications using Microsoft Azure Cognitive Services. You will gain proficiency in configuring and invoking REST APIs, integrating services into applications, and understanding a cloud-first ecosystem. The hands-on experience in building and optimizing these applications helps you effectively manage the lifecycle of AI-powered solutions from development to operational deployment.
Data Scientist
Data Scientist
A Data Scientist extracts insights from complex datasets, builds predictive models, and communicates findings to inform strategic decisions. This role often requires an advanced degree. This course helps a Data Scientist by providing practical skills in applying AI for data analysis, particularly through modules on anomaly detection and natural language processing. You will explore how to extract meaning and structure from text, detect anomalies in data, and visualize insights, which are valuable for understanding underlying patterns. The ability to integrate AI-powered tools like sentiment analysis and language understanding into applications can enhance your data interpretation and predictive capabilities.
Artificial Intelligence Product Manager
Artificial Intelligence Product Manager
An Artificial Intelligence Product Manager steers the development cycle of artificial intelligence products, defining their vision, strategy, and roadmap while translating technical capabilities into compelling user experiences. This course may be useful for an Artificial Intelligence Product Manager by offering a practical understanding of what is achievable with intelligent applications. By exploring Azure Cognitive Services, you will gain insights into vision recognition, speech processing, language understanding, and personalization, which are crucial for conceptualizing AI-driven features. The course's focus on deploying and optimizing intelligent applications, combined with modules on decision-making logic and tailored user experiences, can help you effectively collaborate with engineering teams and make informed product decisions.
User Experience Designer Artificial Intelligence
User Experience Designer Artificial Intelligence
A User Experience Designer Artificial Intelligence professional focuses on crafting intuitive and engaging interactions for AI-powered products and services. This course may be helpful for a User Experience Designer Artificial Intelligence by providing a foundational understanding of how AI enhances user experiences. You will explore decision-making logic via the Personalizer API and enriching user experiences with intelligent web search capabilities, directly impacting how you design interactive systems. The ability to develop adaptable, AI-enhanced applications that provide tailored user experiences and interpret language informs your design choices, ensuring user-centric and intelligent application flows.
Content Moderation Specialist
Content Moderation Specialist
A Content Moderation Specialist ensures online platforms adhere to safety guidelines by identifying and managing inappropriate or harmful content. This course may be useful to a Content Moderation Specialist by explicitly covering the implementation of automated content moderation services. You will explore safeguarding platforms through automated text, image, and general content moderation capabilities within Azure Cognitive Services. Gaining practical experience with these decision and moderation APIs in real-world scenarios enables you to effectively leverage AI-powered tools to manage and filter content, enhancing platform safety and user trust efficiently.
For more career information including salaries, visit:
OpenCourser.com/course/c2ssj9/azure
Reading list
We haven't picked any books for this reading list yet.
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Focuses on the use of Azure Cognitive Services in the education industry. It provides a comprehensive overview of the different services and how they can be used to improve teaching and learning.
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This cookbook provides a collection of recipes for solving common problems with Azure Cognitive Services. It includes recipes for tasks such as speech recognition, natural language processing, and computer vision.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
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A popular science book that discusses the development of AI algorithms and their potential impact on various aspects of human life, such as healthcare, transportation, and finance.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
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A non-technical book that explores the global AI landscape, the impact of AI on society, and the ethical challenges that arise from the rapid development of AI technologies.
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A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
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A thought-provoking book that explores the potential implications of AI for human society, such as the possibility of a technological singularity and the need for new ethical frameworks.
A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
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A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.
A free online book that provides a gentle introduction to machine learning, covering topics such as linear regression, logistic regression, and neural networks. Suitable for beginners with no prior knowledge of AI or machine learning.
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Provides an overview of object recognition techniques, covering topics such as feature extraction, object detection, and object tracking.
Focuses on multiple view geometry, which fundamental technique for reconstructing 3D scenes from multiple images.
Provides a comprehensive overview of computer vision theory and practice, covering topics such as image processing, feature extraction, object recognition, and motion analysis.
Provides a comprehensive introduction to computer vision, covering topics such as image formation, feature extraction, object recognition, and motion analysis.
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Provides a comprehensive overview of computer vision algorithms and their applications in fields such as robotics, medical imaging, and augmented reality.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/c2ssj9/azure
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Rating
4.8
Effort
6 weeks, 3-4 hours/week
Level
Introductory
Via
Coursera
Institution
EDUCBA
Instructor
EDUCBA
Session
November 3, 2025
- December 22, 2025
Language
English
Transcript
Español
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