OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Azure Practical - Cognitive Services

4.8 Filled star Filled star Filled star Filled star Half star
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.

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.

Enroll now

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until December 2
Annual Subscription
Invest in your career growth and save. Start your annual subscription to Coursera Plus and access 10,000+ programs.
Take
40%
off
Get offer
Valid until March 12, 2027
Save 40% Off 3 Months
Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.
Take
40%
off
Get offer

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.
Read more

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Career center

Learners who complete Azure Practical - Cognitive Services will develop knowledge and skills that may be useful to these careers:
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.
See salaries and explore the career path for Artificial Intelligence Engineer
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.
See salaries and explore the career path for Software Developer Artificial Intelligence
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.
See salaries and explore the career path for Natural Language Processing 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.
See salaries and explore the career path for Computer Vision Engineer
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.
See salaries and explore the career path for Conversational Artificial Intelligence Developer
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.
See salaries and explore the career path for Machine Learning Engineer
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.
See salaries and explore the career path for Cloud Solutions Architect
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.
See salaries and explore the career path for Technical Consultant Artificial Intelligence
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.
See salaries and explore the career path for Azure Developer
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.
See salaries and explore the career path for Intelligent Search 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.
See salaries and explore the career path for Machine Learning Operations Engineer
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Artificial Intelligence Product Manager
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.
See salaries and explore the career path for User Experience Designer Artificial Intelligence
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.
See salaries and explore the career path for Content Moderation Specialist

Reading list

We've selected 50 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 Azure Practical - Cognitive Services.
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
The premier applied machine learning masterwork, taking practitioners through intuitive concept breakdowns, production-grade Scikit-Learn workflows, and deep neural architecture implementations.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
Artificial Intelligence
Save
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
Artificial Intelligence: A Modern Approach
Hardcover
$$$$
Cover image
Speech and Language Processing. An Introduction to...
Save
This widely recognized and comprehensive textbook that provides a deep dive into the subject of language processing. It is suitable for both undergraduate and graduate-level courses and is considered a must-read for gaining a strong theoretical and applied understanding of NLP. The authors are leading researchers in the field, and the book is frequently updated to reflect advancements. The latest draft is available online.
Speech and Language Processing An Introduction to...
Paperback
$$
Cover image
Deep Learning
Save
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Pattern Recognition and Machine Learning
Save
A timeless mathematical masterpiece that provides an uncompromising Bayesian and probabilistic foundation for linear classifiers, graphical models, kernel methods, and sampling algorithms.
Pattern Recognition and Machine Learning...
Hardcover
$$$
Pattern Recognition and Machine Learning...
Paperback
$$$
Pattern Recognition and Machine Learning (text...
Unknown Binding
$$$$
Cover image
REST API Design Rulebook
Save
This handbook provides a practical guide to designing and developing RESTful APIs, covering topics such as resource modeling, versioning, and security.
REST API Design Rulebook
Paperback
$$
REST API Design Rulebook: Designing Consistent...
Kindle Edition
$
Cover image
Cloud Computing
Save
Provides a comprehensive overview of cloud computing, covering concepts, technologies, and architectures. It is written by leading experts in the field.
Cloud Computing: Concepts, Technology &...
Kindle Edition
$$
(中文) Cloud Computing: Concepts. Technology and...
Paperback
$$
Cover image
The Elements of Statistical Learning
Save
The definitive mathematical and theoretical canon of statistical learning, establishing the rigorous analytical foundations of regularized regression, tree ensembles, and high-dimensional inference.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
Cover image
Natural Language Processing with Transformers,...
Save
This practical book dives into using transformers, the dominant architecture for many state-of-the-art NLP tasks, with the Hugging Face Transformers library. , It's ideal for data scientists and coders who want to learn how to build and scale models for various NLP applications using this popular library. It covers contemporary topics and is highly relevant for current NLP practice.
Natural Language Processing with Transformers,...
Paperback
$$
Natural Language Processing with Transformers,...
Kindle Edition
$$
Cover image
Machine Learning Engineering
Save
A distilled practitioner field guide outlining best practices for the entire machine learning lifecycle, from problem formulation and feature engineering to model deployment and monitoring.
Machine Learning Engineering
Paperback
$$
Machine Learning Engineering
Kindle Edition
$$
Cover image
Build a Large Language Model (from Scratch)
Save
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
Build a Large Language Model (from Scratch)
Paperback
Check
Build a Large Language Model (from Scratch)
Kindle Edition
Check
Cover image
Designing Machine Learning Systems
Save
Delivers an end-to-end systems architecture guide for building reliable production ML systems, addressing data engineering trade-offs, real-time feature computation, and model drift mitigation.
Designing Machine Learning Systems: An Iterative...
Paperback
$$
Designing Machine Learning Systems
Kindle Edition
$$
Cover image
Reinforcement Learning, second edition
Save
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
Reinforcement Learning, second edition: An...
Hardcover
$$$
Reinforcement Learning, second edition: An...
Kindle Edition
$$$
Cover image
Mathematics for Machine Learning
Save
Bridges linear algebra, multivariable calculus, vector geometry, and probability directly to fundamental machine learning algorithms like PCA, Gaussian mixture models, and support vector machines.
Mathematics for Machine Learning
Kindle Edition
$$
Cover image
Cloud Computing
Save
Provides a comprehensive overview of cloud computing. It covers a wide range of topics, including cloud architectures, cloud services, and cloud security.
Cloud Computing: Theory and Practice
Paperback
$$$
Cloud Computing: Theory and Practice
Paperback
$$$
Cloud Computing: Theory and Practice
Kindle Edition
$$$
(中文) Cloud Computing: Principles. Applications....
Paperback
$$$
Cover image
Multiple View Geometry in Computer Vision
Save
Considered a classic in the field, this book delves deep into the geometry of multiple cameras and 3D reconstruction. It's essential for those looking to deepen their understanding of the mathematical foundations of computer vision, particularly for topics like autonomous driving and 3D mapping. It rigorous text often used at the graduate level.
Multiple View Geometry in Computer Vision
Paperback
$$$
Multiple View Geometry in Computer Vision
Kindle Edition
$$$
Cover image
Deep Learning for Computer Vision
Save
Examines deep learning techniques specifically for computer vision tasks, including CNNs, object detection, and image segmentation. It provides a comprehensive understanding of concepts and algorithms, making it helpful for practitioners and researchers in this area. It includes practical examples using TensorFlow and Keras.
Deep Learning for Computer Vision: Expert...
Paperback
$$
Cover image
Introduction to Machine Learning with Python
Save
Instructs data scientists on applied model evaluation, cross-validation, hyperparameter tuning, and pipeline construction through Scikit-Learn maintainers Andreas Müller and Sarah Guido.
Introduction to Machine Learning with Python: A...
Kindle Edition
$$
Cover image
Foundations of Statistical Natural Language...
Save
This foundational text offers a comprehensive introduction to statistical methods in NLP. It covers the necessary theory and algorithms for building NLP tools, with a rigorous treatment of mathematical and linguistic foundations. While published in 1999, it remains highly relevant for understanding the statistical underpinnings of many NLP techniques and valuable reference for researchers and students alike.
Foundations of Statistical Natural Language...
Hardcover
$$$
Foundations of Statistical Natural Language...
Kindle Edition
$$$
Cover image
Pro JSP 2
Save
Provides a systematic approach to designing RESTful APIs, covering topics such as resource representation, request and response semantics, and error handling.
Pro JSP 2 (Expert's Voice in Java)
Paperback
$$
Cover image
RESTful Web APIs
Save
Provides a comprehensive overview of RESTful web services, covering the core concepts, design principles, and best practices for creating scalable and maintainable APIs.
RESTful Web APIs: Services for a Changing World
Paperback
$$
RESTful Web APIs: Services for a Changing World
Kindle Edition
$$
Cover image
Automatic Speech Recognition
Save
Provides a comprehensive overview of deep learning for speech recognition. It covers both the theoretical foundations and practical applications of this technology. It is suitable for both undergraduate and graduate students, as well as researchers and practitioners in the field.
Automatic Speech Recognition: A Deep Learning...
Hardcover
$$$
Automatic Speech Recognition: A Deep Learning...
Kindle Edition
$$$
Cover image
Anomaly Detection Principles and Algorithms
Save
Offers a readable introduction to the principles of anomaly detection, making it suitable for newcomers to the field. It describes a large number of algorithms, highlighting their strengths and weaknesses. It covers techniques for single and multiple time series data as well as multi-dimensional data. This book is helpful for advanced-level computer science students and practitioners.
Anomaly Detection Principles and Algorithms...
Hardcover
$$$
Anomaly Detection Principles and Algorithms...
Kindle Edition
$$$
Cover image
Dive into Deep Learning
Save
Provides a comprehensive introduction to deep learning, including its applications in computer vision. It combines theory with hands-on implementation using various frameworks. It's a valuable resource for understanding the deep learning methods used in modern computer vision.
Dive into Deep Learning
Paperback
$$
Cover image
AI-Driven Fraud Prevention: Enhancing Security and...
Save
Focusing on a key application area, this book explores the use of machine learning algorithms specifically for fraud detection in the financial sector. It provides insights into various algorithms and methodologies used to combat financial crimes. is valuable for practitioners and students interested in this domain.
AI-Driven Fraud Prevention: Enhancing Security and...
Paperback
Check
AI-Driven Fraud Prevention: Enhancing Security and...
Kindle Edition
Check
Cover image
Computer Vision
Save
Provides a comprehensive and rigorous treatment of computer vision, covering a wide range of topics from image formation to object recognition. It's suitable for advanced undergraduates and graduate students seeking a deep understanding of the field. It is often used as a primary textbook in university courses.
Computer Vision: A Modern Approach
Hardcover
$$$$
Cover image
Practical Fraud Prevention
Save
Teaches how to build and deploy fraud detection systems using machine learning, covering various types of fraud and techniques. It provides practical examples using Python and is relevant for those interested in the application of ML to combat fraud.
Practical Fraud Prevention
Paperback
Check
Practical Fraud Prevention
Kindle Edition
Check
Cover image
Computer Vision
Save
Focuses on the mathematical and statistical underpinnings of computer vision, providing a solid theoretical foundation. It's well-suited for those who want to understand the principles behind various algorithms and models. It can be a valuable reference for researchers and graduate students.
Computer Vision
Hardcover
$$$
Computer Vision: Models, Learning, and Inference
Kindle Edition
$$$
Cover image
Natural Language Processing with Python
Save
Serves as a practical introduction to NLP with a strong focus on using the Natural Language Toolkit (NLTK) library in Python. It's excellent for beginners and those who want a hands-on approach to learning NLP concepts through programming examples. It's widely used as a textbook and provides a solid foundation for implementing basic NLP tasks.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
(中文) Python Natural Language Processing(Chinese Edition)
Paperback
$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Computer Vision
Save
Presents advanced computer vision methods, with a strong emphasis on recent machine and deep learning techniques. It covers topics like generative adversarial networks and deep reinforcement learning, suitable for researchers and advanced students.
Computer Vision: Principles, Algorithms,...
Hardcover
$$$$
Advanced Methods and Deep Learning in Computer...
Paperback
$$$$
Computer and Machine Vision: Theory, Algorithms,...
Kindle Edition
$$$
Computer and Machine Vision by E. R. Davies (13-May...
Unknown Binding
$$$$
(中文) Computer vision: principle. algorithm. application...
Paperback
$$$
Cover image
The Handbook of NLP with Gensim
Save
Offers a practical approach to anomaly detection using Python, with a focus on hands-on examples and real-world applications. It's suitable for those who want to implement anomaly detection techniques. It provides a good balance between concepts and practical implementation.
The Handbook of NLP with Gensim: Leverage topic...
Paperback
$$
The Handbook of NLP with Gensim: Leverage topic...
Kindle Edition
$$
Cover image
LLM Systems in Production
Save
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
LLM Systems in Production
Paperback
Check
LLM Systems in Production
Kindle Edition
Check
Cover image
Machine Learning in Production
Save
Investigates the engineering realities of running automated ML pipelines in production, addressing data drift detection, automated retraining loops, telemetry infrastructure, and continuous validation.
Machine Learning in Production
Paperback
Check
Machine Learning in Production
Kindle Edition
Check
Cover image
DevOps for AI-Native Platforms
Save
Details cloud-native DevOps architectures for orchestrating automated machine learning lifecycles, integrating CI/CD triggers, model registry synchronization, and automated hyperparameter sweep workers.
DevOps for AI-Native Platforms
Paperback
Check
DevOps for AI-Native Platforms
Kindle Edition
Check
Cover image
Introduction to Natural Language Processing
Save
This textbook offers a technical perspective on NLP, synthesizing classical methods with contemporary machine learning techniques. , It covers topics from basic textual analysis to structured representations and semantic analysis, making it suitable for advanced undergraduate and graduate courses. It requires a background in programming and college-level mathematics.
Introduction to Natural Language Processing...
Hardcover
$$$
Introduction to Natural Language Processing...
Kindle Edition
$$
Cover image
Local Models That Don't Feel Dumb
Save
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Local Models That Don't Feel Dumb
Paperback
Check
Local Models That Don't Feel Dumb
Kindle Edition
Check
Cover image
Network Anomaly Detection
Save
Examines network anomaly detection from a machine learning perspective. It covers network anomalies, vulnerabilities, and various machine learning techniques for detection. It's particularly relevant for those interested in cybersecurity applications of anomaly detection. The book includes material for hands-on development.
Network Anomaly Detection: A Machine Learning...
Hardcover
$$$
Cover image
Practical Fraud Prevention
Save
Drawing on experience in fraud fighting, this book provides best practices, methodologies, and tools for detecting and preventing fraud. It covers typical attacks and recommended detection methods, relevant for data scientists, data analysts, and fraud analysts.
Practical Fraud Prevention: Fraud and AML Analytics...
Paperback
$$
Practical Fraud Prevention
Kindle Edition
$$
Cover image
Deep Learning for Vision Systems
Save
Covers deep learning concepts and their application to computer vision, explaining how computers can understand images. It explores image classification, object detection, and generative models. It's a good resource for those looking to apply deep learning to vision tasks.
Deep Learning for Vision Systems
Paperback
Check
Deep Learning for Vision Systems
Kindle Edition
Check
Cover image
Probabilistic Graphical Models
Save
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
Probabilistic Graphical Models: Principles and...
Hardcover
$$$$
Probabilistic Graphical Models: Principles and...
Kindle Edition
$$$
Cover image
Deep Learning and XAI Techniques for Anomaly...
Save
Explores the intersection of deep learning and Explainable AI (XAI) for anomaly detection. It addresses the challenge of interpreting deep learning models in this context and provides state-of-the-art methods. This is relevant for those interested in the latest advancements and the interpretability of anomaly detection systems.
Deep Learning and XAI Techniques for Anomaly...
Kindle Edition
$$
Cover image
Computer Vision Metrics
Save
Offers a detailed survey and analysis of various feature description and machine vision methods. It provides a taxonomy for understanding different approaches and helps develop intuition about how these methods work. It's a valuable reference for researchers and those seeking a deeper understanding of feature analysis.
Computer Vision Metrics: Survey, Taxonomy, and...
Kindle Edition
Check Price
Cover image
Modern Computer Vision with PyTorch
Save
Offers a hands-on approach to solving computer vision problems using PyTorch, a popular deep learning framework. It's well-suited for those who want to apply deep learning to vision tasks using PyTorch.
Modern Computer Vision with PyTorch: A practical...
Paperback
$$$
Modern Computer Vision with PyTorch: Explore deep...
Paperback
$$$
Modern Computer Vision with PyTorch: A practical...
Kindle Edition
$$
Modern Computer Vision with PyTorch: Explore deep...
Kindle Edition
$$
Cover image
Outlier Ensembles
Save
Provides a focused introduction to ensemble learning techniques specifically for outlier analysis. Ensemble methods are increasingly important in improving the accuracy and robustness of anomaly detection. This book is valuable for those looking to deepen their understanding of advanced techniques.
Outlier Ensembles: An Introduction
Paperback
$$$
Outlier Ensembles: An Introduction
Kindle Edition
$$
Cover image
Learning OpenCV 4 Computer Vision with Python 3
Save
Offers a practical, hands-on introduction to computer vision using the widely popular OpenCV library and Python. It's excellent for beginners and those who want to implement computer vision techniques. It covers various practical applications and useful reference for coding projects.
Learning OpenCV 4 Computer Vision with Python 3
Paperback
$$
Learning OpenCV 4 Computer Vision with Python 3:...
Kindle Edition
$$
Cover image
Azure for Architects
Save
This cookbook provides a collection of recipes for solving common problems with Azure Cognitive Services. It includes recipes for tasks such as speech recognition, natural language processing, and computer vision.
Azure for Architects: Create secure, scalable, high...
Kindle Edition
$$
Cover image
Pragmatic Unit Testing in Java 8 with JUnit
Save
Explores the principles of RESTful web services from a pragmatic perspective, focusing on real-world considerations and best practices.
Pragmatic Unit Testing in Java 8 with JUnit
Kindle Edition
$$
Cover image
Cloud Computing: A Practical Approach
Save
Practical guide to cloud computing. It covers a wide range of topics, including cloud computing basics, cloud architectures, and cloud security.
Cloud Computing, A Practical Approach
Paperback
$$
Cloud Computing: A Practical Approach
Kindle Edition
$$
Cover image
Mastering Cloud Computing
Save
Provides a theoretical foundation for cloud computing. It covers topics such as cloud architectures, cloud resource management, and cloud security.
Mastering Cloud Computing: Foundations and...
Kindle Edition
$$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Azure Practical - Cognitive Services.
Artificial Intelligence
Most relevant
Responsible AI: Applying AI Principles with GC - Español
Most relevant
AI-900 - Azure AI Fundamentals and Two Practice Tests
Most relevant
AWS: IoT, Machine Learning and Blockchain
Most relevant
Build automated speech systems with Azure Cognitive...
Most relevant
Natural Language Processing in Microsoft Azure
Most relevant
AI Fundamentals for Non-Data Scientists
Most relevant
Introduction to Robotics on AWS
Most relevant
The AI Awakening: Implications for the Economy and Society
Most relevant

Coursera Buyer Protection & Guarantee

Verified partner policies & purchase protections

Accredited University Partner
Free Trial & Audit

7-Day Free Trial & Free Audit

7-day free trial on monthly Coursera Plus subscriptions; free audit option available on most individual courses to explore video lectures and readings at no charge.

Return & Refund Policy

14-Day Refund Guarantee

14-day refund window on annual Coursera Plus subscriptions and single-course purchases prior to certificate issuance. Monthly subscriptions do not offer refunds once billed.

Buyer Protections

Verified Academic & Industry Partner

Accredited university and industry certifications (e.g. Stanford, Google, IBM, Yale), secure SSL payment processing, and verifiable digital certificate links.

Key Purchase Protections
14-day refund window on annual Coursera Plus and single courses
7-day free trial on monthly Coursera Plus subscriptions
Free course audit option for lectures and readings
Verified certificates from top universities & companies
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
Rating
4.8 Filled star Filled star Filled star Filled star Half star
Effort
6 weeks, 3-4 hours/week
Level
Introductory
Via
Coursera
Institution
EDUCBA
Instructor
EDUCBA
Language
English
Transcript
Español
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
Enroll now to gain full access to Azure Practical - Cognitive Services.
Enroll now
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser