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Janani Ravi
Thanks to AI, modern apps are more interactive and intelligent than ever before. Microsoft's Cognitive Service APIs offer easy-to-use machine learning models that are trained on vast repositories of data to offer solutions for common use cases.
Read more
Thanks to AI, modern apps are more interactive and intelligent than ever before. Microsoft's Cognitive Service APIs offer easy-to-use machine learning models that are trained on vast repositories of data to offer solutions for common use cases.
Read more
Thanks to AI, modern apps are more interactive and intelligent than ever before. Microsoft's Cognitive Service APIs offer easy-to-use machine learning models that are trained on vast repositories of data to offer solutions for common use cases.
Microsoft Cognitive Services are APIs available to developers to make their applications more intelligent, engaging, and discoverable. In this course, Machine Learning and Microsoft Cognitive Services, you will learn about the APIs offered by Azure: vision, knowledge, language, speech, and search. First, you will learn the use cases of content moderation for user-generated content and customizing news feeds and searches for a target audience. Next, you will use APIs for text, image, and video moderation, including customizing the terms or images you want to block using custom lists. Finally, you will explore how the custom decision service uses reinforcement learning under the hood to personalize news feeds, and see how to integrate the service using both the pooled learning mode and the application-specific learning mode. At the end of this course, you will have hands-on experience using these pre-built machine learning models via their REST APIs.
Register for this course and see more details by visiting:
OpenCourser.com/course/xfd8ag/machine
What's inside
Syllabus
Course Overview
Introduction to Cognitive Services
Content Moderation for Text and Images
Custom Decision Service for Personalizing Content
Read more
Syllabus
Course Overview
Introduction to Cognitive Services
Content Moderation for Text and Images
Custom Decision Service for Personalizing Content
Read more
The Bing Web Search APIs
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches applied use-cases for pre-built machine learning models via REST APIs
Covers the use of AI in modern applications
Teaches developers how to enhance their applications with cognitive services
Provides hands-on experience with Microsoft Cognitive Service APIs
Involves instructors with expertise in machine learning
Save this course
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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 Machine Learning and Microsoft Cognitive Services with these
activities:
Review basic programming concepts
Show steps
Strengthen your foundational programming skills in the area of python and algorithms before starting the course to improve course understanding.
Browse courses on
Programming
Show steps
-
Review variables, data types, and operators.
-
Practice writing simple functions and loops.
-
Implement basic algorithms, such as sorting and searching.
Review Machine Learning Concepts
Show steps
Review the fundamental concepts of machine learning to strengthen your understanding of the Cognitive Services APIs.
Browse courses on
Machine Learning
Show steps
-
Go over your notes or textbooks from previous machine learning courses.
-
Take practice quizzes or tests to assess your understanding.
-
Watch introductory videos or tutorials on machine learning.
Explore Cognitive Services Tutorials
Show steps
Familiarize yourself with the Azure Cognitive Services platform by following official tutorials.
Browse courses on
Cognitive Services
Show steps
-
Visit the Microsoft Learn platform and search for Cognitive Services tutorials.
-
Choose a tutorial that aligns with your interests or learning objectives.
-
Follow the instructions and complete the hands-on exercises.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow tutorials on Cognitive Service APIs
Show steps
Expand your knowledge of the Azure Cognitive Service APIs by following tutorials that provide step-by-step guidance on how to use them.
Browse courses on
Cognitive Services
Show steps
-
Look for tutorials on Microsoft's developer portal that cover the Cognitive Services APIs you're interested in.
-
Follow the tutorials carefully, completing all the steps and experimenting with the code provided.
Solve practice problems on Cognitive Services
Show steps
Reinforce your understanding of Cognitive Services by solving practice problems that test your ability to use the APIs to solve real-world problems.
Browse courses on
Cognitive Services
Show steps
-
Find online resources or textbooks that provide practice problems.
-
Solve the problems using the Cognitive Services APIs.
-
Review the solutions to identify any areas of improvement.
Practice Using the Cognitive Services APIs
Show steps
Gain practical experience by working with the Cognitive Services APIs directly.
Browse courses on
REST APIs
Show steps
-
Create an Azure account and set up a Cognitive Services resource.
-
Find the API documentation for the service you want to use.
-
Write code to send requests to the API and process the responses.
Build a project using Cognitive Services
Show steps
Demonstrate your mastery of Cognitive Services by building a project that utilizes the APIs to solve a real-world problem.
Show steps
-
Identify a problem that you can solve using Cognitive Services.
-
Design the project and choose the appropriate APIs.
-
Create the project, integrate the APIs, and test it thoroughly.
Write a Blog Post on Cognitive Services
Show steps
Share your knowledge and insights about Cognitive Services with others.
Browse courses on
Cognitive Services
Show steps
-
Choose a specific topic or aspect of Cognitive Services to write about.
-
Research and gather information from reliable sources.
-
Write a well-structured and engaging blog post.
-
Publish your blog post on a relevant platform.
Develop a Content Moderation App
Show steps
Apply your knowledge of Cognitive Services to build a real-world application that uses content moderation.
Browse courses on
Content Moderation
Show steps
-
Define the scope and requirements of your app.
-
Select the appropriate Cognitive Services APIs for your app.
-
Design and develop the user interface and functionality.
-
Test and iterate on your app to improve its performance and accuracy.
Develop a Machine Learning Model for Personalizing Content
Show steps
Apply your understanding of machine learning and Cognitive Services to create a personalized content delivery system.
Browse courses on
Machine Learning
Show steps
-
Gather a dataset of user interactions and content preferences.
-
Choose and train a machine learning model to predict user preferences.
-
Integrate your model with the Custom Decision Service.
-
Test and evaluate the performance of your model.
Review basic programming concepts
Show steps
Strengthen your foundational programming skills in the area of python and algorithms before starting the course to improve course understanding.
Browse courses on
Programming
Show steps
Show steps
Show steps
- Review variables, data types, and operators.
- Practice writing simple functions and loops.
- Implement basic algorithms, such as sorting and searching.
Review Machine Learning Concepts
Show steps
Review the fundamental concepts of machine learning to strengthen your understanding of the Cognitive Services APIs.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Go over your notes or textbooks from previous machine learning courses.
- Take practice quizzes or tests to assess your understanding.
- Watch introductory videos or tutorials on machine learning.
Explore Cognitive Services Tutorials
Show steps
Familiarize yourself with the Azure Cognitive Services platform by following official tutorials.
Browse courses on
Cognitive Services
Show steps
Show steps
Show steps
- Visit the Microsoft Learn platform and search for Cognitive Services tutorials.
- Choose a tutorial that aligns with your interests or learning objectives.
- Follow the instructions and complete the hands-on exercises.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow tutorials on Cognitive Service APIs
Show steps
Expand your knowledge of the Azure Cognitive Service APIs by following tutorials that provide step-by-step guidance on how to use them.
Browse courses on
Cognitive Services
Show steps
Show steps
Show steps
- Look for tutorials on Microsoft's developer portal that cover the Cognitive Services APIs you're interested in.
- Follow the tutorials carefully, completing all the steps and experimenting with the code provided.
Solve practice problems on Cognitive Services
Show steps
Reinforce your understanding of Cognitive Services by solving practice problems that test your ability to use the APIs to solve real-world problems.
Browse courses on
Cognitive Services
Show steps
Show steps
Show steps
- Find online resources or textbooks that provide practice problems.
- Solve the problems using the Cognitive Services APIs.
- Review the solutions to identify any areas of improvement.
Practice Using the Cognitive Services APIs
Show steps
Gain practical experience by working with the Cognitive Services APIs directly.
Browse courses on
REST APIs
Show steps
Show steps
Show steps
- Create an Azure account and set up a Cognitive Services resource.
- Find the API documentation for the service you want to use.
- Write code to send requests to the API and process the responses.
Build a project using Cognitive Services
Show steps
Demonstrate your mastery of Cognitive Services by building a project that utilizes the APIs to solve a real-world problem.
Show steps
Show steps
Show steps
- Identify a problem that you can solve using Cognitive Services.
- Design the project and choose the appropriate APIs.
- Create the project, integrate the APIs, and test it thoroughly.
Write a Blog Post on Cognitive Services
Show steps
Share your knowledge and insights about Cognitive Services with others.
Browse courses on
Cognitive Services
Show steps
Show steps
Show steps
- Choose a specific topic or aspect of Cognitive Services to write about.
- Research and gather information from reliable sources.
- Write a well-structured and engaging blog post.
- Publish your blog post on a relevant platform.
Develop a Content Moderation App
Show steps
Apply your knowledge of Cognitive Services to build a real-world application that uses content moderation.
Browse courses on
Content Moderation
Show steps
Show steps
Show steps
- Define the scope and requirements of your app.
- Select the appropriate Cognitive Services APIs for your app.
- Design and develop the user interface and functionality.
- Test and iterate on your app to improve its performance and accuracy.
Develop a Machine Learning Model for Personalizing Content
Show steps
Apply your understanding of machine learning and Cognitive Services to create a personalized content delivery system.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Gather a dataset of user interactions and content preferences.
- Choose and train a machine learning model to predict user preferences.
- Integrate your model with the Custom Decision Service.
- Test and evaluate the performance of your model.
Career center
Learners who complete Machine Learning and Microsoft Cognitive Services will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers can use Microsoft Cognitive Services to build and deploy machine learning models. This course will help you understand the popular Microsoft Cognitive Services APIs. This course has content like content moderation of text and images, custom decision service for personalizing content, and searching the web in a custom way. All of these topics are useful for Machine Learning Engineers.
Data Analyst
Data Analyst
Data Analysts can benefit from taking this course to learn about Microsoft Cognitive Services. These are APIs that can help with tasks like content moderation of text and images, custom decision service for personalizing content, and searching the web in a custom way. All of these skills are valuable for Data Analysts.
Software Engineer
Software Engineer
Software Engineers that work on machine learning projects will find value in this course. Microsoft Cognitive Services are helpful for many different applications, and a Software Engineer that specializes in machine learning can use this course to help sharpen their understanding of the Microsoft Cognitive Services APIs. This course may help with that.
Product Manager
Product Manager
Product Managers will find this course useful to gain knowledge about machine learning APIs such as Microsoft Cognitive Services. Product Managers need to understand how to use machine learning in their products, and this course can help with this.
Technical Writer
Technical Writer
Technical Writers can take this course to gain knowledge of Microsoft Cognitive Services and machine learning. This knowledge can help them write better documentation for products that use these technologies.
Business Analyst
Business Analyst
Business Analysts may find value in this course to learn more about machine learning APIs such as Microsoft Cognitive Services. These APIs can be used to improve business processes, and a Business Analyst that understands machine learning can use this to their advantage.
Researcher
Researcher
Researchers that work in the field of machine learning may find value in this course. Microsoft Cognitive Services are popular APIs, and Researchers that understand these APIs can conduct better research.
Marketing Manager
Marketing Manager
Marketing Managers can take this course to gain knowledge of Microsoft Cognitive Services and machine learning. This knowledge can help them create more effective marketing campaigns.
Data Scientist
Data Scientist
Data Scientists use machine learning often. This course will help you understand the popular Microsoft Cognitive Services APIs, and can help you perform tasks like content moderation of text and images, custom decision service for personalizing content, and searching the web in a custom way. All of these tasks require a solid understanding of machine learning. This course may help with that.
UX Designer
UX Designer
UX Designers may benefit from this course to learn about the Microsoft Cognitive Services APIs. These APIs can be used to create more engaging and interactive user experiences, and a UX Designer that understands machine learning can use this to their advantage.
Project Manager
Project Manager
Project Managers that work on machine learning projects may find value in this course. Microsoft Cognitive Services are popular APIs, and Project Managers that understand these APIs can better manage their projects.
Sales Manager
Sales Manager
Sales Managers may find value in this course to learn more about machine learning APIs such as Microsoft Cognitive Services. These APIs can be used to improve sales processes, and a Sales Manager that understands machine learning can use this to their advantage.
Teacher
Teacher
Teachers that teach computer science or machine learning may find value in this course. Microsoft Cognitive Services are popular APIs, and Teachers that understand these APIs can better teach their students.
Entrepreneur
Entrepreneur
Entrepreneurs that are interested in starting a business that uses machine learning may find value in this course. Microsoft Cognitive Services are popular APIs, and Entrepreneurs that understand these APIs can build better products.
Consultant
Consultant
Consultants that work with clients who use machine learning may benefit from taking this course. Microsoft Cognitive Services are popular APIs, and Consultants who understand these APIs can better serve their clients.
For more career information including salaries, visit:
OpenCourser.com/course/xfd8ag/machine
Reading list
We've selected 18 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
Machine Learning and Microsoft Cognitive Services.
This practical guide offers hands-on experience with popular machine learning libraries, providing a deeper understanding of the implementation and application of machine learning algorithms used in Microsoft Cognitive Services.
Provides a comprehensive overview of machine learning, using the Python programming language. It is particularly useful for those looking to learn more about the practical aspects of machine learning.
This classic textbook provides a comprehensive overview of speech and language processing, including topics like speech recognition and synthesis, making it a valuable resource for understanding the underlying concepts behind Microsoft Cognitive Services' speech capabilities.
Provides a practical introduction to deep learning, using the Fastai library. It is particularly useful for those interested in using deep learning for practical applications.
Provides a comprehensive introduction to deep learning using Python. It covers the basics of deep learning, as well as advanced topics such as convolutional neural networks and recurrent neural networks.
This comprehensive textbook covers a wide range of machine learning topics, including supervised and unsupervised learning, providing a solid theoretical foundation for understanding the algorithms and models used in Microsoft Cognitive Services.
Save
Provides a comprehensive overview of computer vision, from its basic principles to advanced topics. It is particularly useful for those looking to learn more about the theoretical foundations of computer vision.
Covers the basics of natural language processing (NLP) using Python. It includes chapters on topics such as text classification, sentiment analysis, and machine translation.
This comprehensive guide covers natural language processing techniques, providing a solid foundation for understanding the NLP capabilities of Microsoft Cognitive Services.
This introductory textbook focuses on the fundamental concepts and algorithms of machine learning, providing a strong foundation for understanding the underlying principles used in Microsoft Cognitive Services.
Save
This advanced textbook provides a comprehensive overview of deep learning theory and practice, offering insights into the deep learning models and techniques used by Microsoft Cognitive Services for tasks like image classification and natural language processing.
This comprehensive textbook covers information retrieval concepts and techniques, providing a strong foundation for understanding the Bing Web Search APIs offered by Microsoft Cognitive Services.
Provides a practical introduction to natural language processing, using the Python programming language. It is particularly useful for those interested in using natural language processing for practical applications.
Covers the fundamentals of machine learning using R. It includes hands-on case studies in business intelligence, which will be helpful for learners who want to apply machine learning to real-world problems.
Provides a comprehensive overview of machine learning concepts and techniques, making it a valuable resource for understanding the foundational principles underlying Microsoft Cognitive Services.
This advanced textbook offers a probabilistic approach to machine learning, providing a deeper understanding of the statistical and probabilistic foundations of machine learning algorithms used in Microsoft Cognitive Services.
This introductory textbook provides a thorough overview of reinforcement learning, offering insights into the underlying principles used by Microsoft Cognitive Services for tasks like personalized content recommendations and decision-making.
Provides a comprehensive overview of computer vision, including topics such as image classification, object detection, and facial recognition. It is particularly useful for those interested in using Cognitive Services for computer vision tasks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xfd8ag/machine
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Time
135 hours
Level
Introductory
Via
Pluralsight
Instructor
Janani Ravi
Language
English
Good to know
Teaches applied use-cases for pre-built machine learning models via REST APIs
Covers the use of AI in modern applications
Teaches developers how to enhance their applications with cognitive services
Provides hands-on experience with Microsoft Cognitive Service APIs
Involves instructors with expertise in machine learning
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