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Sahil Malik
AI is no longer science fiction or the exclusive domain of scientists. In this course, you will explore the landscape of AI in the Microsoft space, and will examine some practical examples to get you started.
Read more
AI is no longer science fiction or the exclusive domain of scientists. In this course, you will explore the landscape of AI in the Microsoft space, and will examine some practical examples to get you started.
Read more
AI is no longer science fiction or the exclusive domain of scientists. In this course, you will explore the landscape of AI in the Microsoft space, and will examine some practical examples to get you started.
AI is all around us, and it is no longer just the work of scientists. In this introductory course, Microsoft Azure Developer: Creating and Integrating AI with Azure Services, you will learn about the AI Landscape in Azure. You will learn about Cognitive services, which are all about bringing the power of AI within your reach, with a simple REST API call. You will also learn about Azure Machine Learning services, which is an enterprise-class AI solution, backed by the power of the cloud. And you will also get familiarized with conversational AI and the Bot Framework. By the end of this course, you will have a good understanding of the use and applicability of AI, and how Azure can help you achieve your AI goals.
Register for this course and see more details by visiting:
OpenCourser.com/course/knqnfr/microsoft
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What's inside
Syllabus
Course Overview
What Is AI and Machine Learning?
Understanding Microsoft Cognitive Services
Using Microsoft Cognitive Services
Read more
Syllabus
Course Overview
What Is AI and Machine Learning?
Understanding Microsoft Cognitive Services
Using Microsoft Cognitive Services
Read more
Going Beyond with Custom AI Models
Building with Conversational AI
Wrapping Up
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Sahil Malik, who is an acclaimed instructor on AI and Machine Learning within the Microsoft ecosystem
Appropriate for learners wishing to use Microsoft's suite of AI services, which is explored in a way that provides hands-on experience and practical examples
Explores the Cognitive Services APIs to empower learners to integrate AI functionality into their applications with straightforward REST API
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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 Microsoft Azure Developer: Creating and Integrating AI with Azure Services with these
activities:
Review and Organize Course Notes
Show steps
Organize and review your notes from the course to enhance your understanding and retention of key concepts.
Show steps
-
Gather all notes, assignments, and materials from the course
-
Review and summarize important concepts
-
Organize your notes into a logical structure
Tutorial: Cognitive Services Overview
Show steps
Review a comprehensive tutorial on cognitive services to strengthen your foundational understanding of the topic.
Browse courses on
Microsoft Cognitive Services
Show steps
-
Visit the Cognitive Services tutorial
-
Review the introduction and key concepts of Cognitive Services
-
Explore different Cognitive Services offerings and their applications
Contribute to AI Community Projects
Show steps
Engage with the AI community by contributing to open-source projects or forums, broadening your knowledge and supporting the growth of the field.
Browse courses on
Open Source
Show steps
-
Identify open-source projects or online communities related to AI
-
Choose a project or topic to contribute to
-
Participate in discussions or contribute code
Three other activities
Expand to see all activities and additional details
Show all six activities
Peer Discussion: AI in Healthcare
Show steps
Join a peer group and discuss AI's role in healthcare, exploring its current applications and potential benefits.
Browse courses on
AI in Healthcare
Show steps
-
Find a peer group or create one
-
Choose a topic related to AI in healthcare
-
Facilitate the discussion and encourage diverse perspectives
Hands-on Exercise: Sentiment Analysis with LUIS
Show steps
Complete a hands-on exercise to reinforce your understanding of sentiment analysis using LUIS, enhancing your practical skills.
Browse courses on
Sentiment Analysis
Show steps
-
Set up your LUIS account and create a new app
-
Add training data and utterances for sentiment analysis
-
Train and publish your LUIS app
-
Test your LUIS app with different text inputs
Workshop: Machine Learning with Azure ML
Show steps
Attend a workshop on Machine Learning with Azure ML to expand your knowledge and learn practical applications.
Browse courses on
Machine Learning
Show steps
-
Find a workshop or event on Machine Learning with Azure ML
-
Register and attend the workshop
-
Participate actively and ask questions
Review and Organize Course Notes
Show steps
Organize and review your notes from the course to enhance your understanding and retention of key concepts.
Show steps
Show steps
Show steps
- Gather all notes, assignments, and materials from the course
- Review and summarize important concepts
- Organize your notes into a logical structure
Tutorial: Cognitive Services Overview
Show steps
Review a comprehensive tutorial on cognitive services to strengthen your foundational understanding of the topic.
Browse courses on
Microsoft Cognitive Services
Show steps
Show steps
Show steps
- Visit the Cognitive Services tutorial
- Review the introduction and key concepts of Cognitive Services
- Explore different Cognitive Services offerings and their applications
Contribute to AI Community Projects
Show steps
Engage with the AI community by contributing to open-source projects or forums, broadening your knowledge and supporting the growth of the field.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source projects or online communities related to AI
- Choose a project or topic to contribute to
- Participate in discussions or contribute code
Three other activities
Expand to see all activities and additional details
Show all six activities
Peer Discussion: AI in Healthcare
Show steps
Join a peer group and discuss AI's role in healthcare, exploring its current applications and potential benefits.
Browse courses on
AI in Healthcare
Show steps
Show steps
Show steps
- Find a peer group or create one
- Choose a topic related to AI in healthcare
- Facilitate the discussion and encourage diverse perspectives
Hands-on Exercise: Sentiment Analysis with LUIS
Show steps
Complete a hands-on exercise to reinforce your understanding of sentiment analysis using LUIS, enhancing your practical skills.
Browse courses on
Sentiment Analysis
Show steps
Show steps
Show steps
- Set up your LUIS account and create a new app
- Add training data and utterances for sentiment analysis
- Train and publish your LUIS app
- Test your LUIS app with different text inputs
Workshop: Machine Learning with Azure ML
Show steps
Attend a workshop on Machine Learning with Azure ML to expand your knowledge and learn practical applications.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find a workshop or event on Machine Learning with Azure ML
- Register and attend the workshop
- Participate actively and ask questions
Career center
Learners who complete Microsoft Azure Developer: Creating and Integrating AI with Azure Services will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. They work closely with data scientists and other engineers to ensure that models are accurate, efficient, and scalable. To succeed in this role, you should have a strong understanding of machine learning algorithms and techniques. This course can help you develop the skills you need to become a successful Machine Learning Engineer, including experience with Azure Machine Learning services and Cognitive Services.
AI Engineer
AI Engineer
Working as an AI Engineer, you may develop models to speed up product recommendations for a major e-commerce website, or use natural language processing to automate customer service chatbots. To succeed in this role, you should have a strong grasp of AI concepts and techniques, including machine learning, deep learning, and data analysis. This course can help build a foundation in these areas and provide you with hands-on experience using Azure Machine Learning services.
Data Scientist
Data Scientist
As a Data Scientist, you may work on a team that uses data to identify new market opportunities, improve customer satisfaction, or optimize business processes. To be successful in this role, you should be proficient in data analysis and machine learning techniques. This course can help you gain the skills you need to succeed as a data scientist, including experience with Azure Machine Learning services and Cognitive Services.
Software Engineer
Software Engineer
Working as a Software Engineer, you may work on projects that require using AI and machine learning to develop new features or improve existing ones. To succeed in this role, you should have a strong understanding of software development principles and practices. This course can help you gain the AI and machine learning skills you need to succeed as a Software Engineer, including experience with Azure Machine Learning services and Cognitive Services.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud computing solutions. They work with customers to understand their business needs and develop solutions that meet those needs. To succeed in this role, you should have a strong understanding of cloud computing concepts and technologies. This course can help you gain the AI and machine learning skills you need to succeed as a Cloud Architect, including experience with Azure Machine Learning services and Cognitive Services.
Product Manager
Product Manager
As a Product Manager, you are responsible for developing and managing products that meet the needs of customers. To succeed in this role, you should have a strong understanding of product development and management principles. This course can help you gain the AI and machine learning skills you need to succeed as a Product Manager, including experience with Azure Machine Learning services and Cognitive Services.
Business Analyst
Business Analyst
Business Analysts help organizations understand their business needs and develop solutions to meet those needs. To succeed in this role, you should have a strong understanding of business analysis techniques and tools. This course can help you gain the AI and machine learning skills you need to succeed as a Business Analyst, including experience with Azure Machine Learning services and Cognitive Services.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make better decisions. To succeed in this role, you should have a strong understanding of data analysis techniques and tools. This course can help you gain the AI and machine learning skills you need to succeed as a Data Analyst, including experience with Azure Machine Learning services and Cognitive Services.
Project Manager
Project Manager
Project Managers plan, execute, and track projects to ensure that they are completed on time, within budget, and to the required quality standards. To succeed in this role, you should have a strong understanding of project management principles and practices. This course can help you gain the AI and machine learning skills you need to succeed as a Project Manager, including experience with Azure Machine Learning services and Cognitive Services.
Technical Writer
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. To succeed in this role, you should have a strong understanding of technical writing principles and practices. This course can help you gain the AI and machine learning skills you need to succeed as a Technical Writer, including experience with Azure Machine Learning services and Cognitive Services.
IT Consultant
IT Consultant
IT Consultants help organizations select, implement, and manage IT solutions. To succeed in this role, you should have a strong understanding of IT consulting principles and practices. This course can help you gain the AI and machine learning skills you need to succeed as an IT Consultant, including experience with Azure Machine Learning services and Cognitive Services.
UX Designer
UX Designer
UX Designers create user experiences for software, hardware, and other products. To succeed in this role, you should have a strong understanding of UX design principles and practices. This course can help you gain the AI and machine learning skills you need to succeed as a UX Designer, including experience with Azure Machine Learning services and Cognitive Services.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. To succeed in this role, you should have a strong understanding of marketing principles and practices. This course can help you gain the AI and machine learning skills you need to succeed as a Marketing Manager, including experience with Azure Machine Learning services and Cognitive Services.
Sales Manager
Sales Manager
Sales Managers lead and motivate sales teams to achieve sales goals. To succeed in this role, you should have a strong understanding of sales management principles and practices. This course can help you gain the AI and machine learning skills you need to succeed as a Sales Manager, including experience with Azure Machine Learning services and Cognitive Services.
Account Manager
Account Manager
Account Managers manage relationships with customers to ensure that they are satisfied with products and services. To succeed in this role, you should have a strong understanding of account management principles and practices. This course can help you gain the AI and machine learning skills you need to succeed as an Account Manager, including experience with Azure Machine Learning services and Cognitive Services.
For more career information including salaries, visit:
OpenCourser.com/course/knqnfr/microsoft
Reading list
We've selected 11 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
Microsoft Azure Developer: Creating and Integrating AI with Azure Services.
This practical guide uses a unique hands-on approach to teach you deep learning using the fastai and PyTorch libraries, providing complete examples of training models for various tasks.
A comprehensive guide to machine learning using scikit-learn, Keras, and TensorFlow, covering essential concepts, algorithms, and practical applications.
A comprehensive textbook covering the fundamentals of machine learning, providing a solid theoretical foundation for understanding the field.
A comprehensive guide to machine learning using the R programming language, covering essential concepts and algorithms.
A classic textbook in the field of statistical learning, providing a rigorous and in-depth treatment of statistical concepts and methods.
A classic textbook in the field of machine learning, providing a comprehensive and in-depth treatment of statistical pattern recognition and machine learning algorithms.
Save
A comprehensive textbook covering the algorithmic perspective of machine learning, providing a solid theoretical foundation for understanding the field.
Save
A comprehensive and in-depth textbook on deep learning, providing a solid theoretical foundation for understanding the field.
A comprehensive guide to natural language processing using the Python programming language, covering essential concepts and algorithms.
A comprehensive and in-depth textbook on reinforcement learning, providing a solid theoretical foundation for understanding the field.
An accessible introduction to the field of machine learning, providing a clear and non-technical explanation of complex concepts.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/knqnfr/microsoft
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Time
118 hours
Level
Introductory
Via
Pluralsight
Instructor
Sahil Malik
Language
English
Good to know
Taught by Sahil Malik, who is an acclaimed instructor on AI and Machine Learning within the Microsoft ecosystem
Appropriate for learners wishing to use Microsoft's suite of AI services, which is explored in a way that provides hands-on experience and practical examples
Explores the Cognitive Services APIs to empower learners to integrate AI functionality into their applications with straightforward REST API
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