Azure AI Fundamentals
This course is part of Cloud Computing Basics Explained.
This comprehensive course provides a thorough foundation in Azure AI fundamentals while preparing you for the AI-900 certification exam. You'll gain hands-on experience with Azure Machine Learning Studio and Designer, explore computer vision techniques, and learn natural language processing with Azure Language Service. The course covers essential topics including Azure OpenAI Service, speech recognition, conversational AI, and anomaly detection. Through practical examples and hands-on exercises, you'll learn to implement regression, classification, and clustering in Azure ML Designer, analyze images, process text, and build conversational AI solutions. The course includes study materials, reference guides, and exam preparation strategies to help you succeed.
Instructors:
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What you'll learn
Master fundamental Azure AI concepts and terminology
Deploy and utilize Azure OpenAI Service and Azure AI Services
Implement machine learning solutions using Azure ML Studio and Designer
Develop computer vision applications for image analysis and object detection
Create natural language processing solutions with Azure Language Service
Build conversational AI applications using Azure Bot Service
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments,Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
The course provides a comprehensive introduction to Azure AI fundamentals, preparing students for the AI-900 certification exam. It covers essential concepts in artificial intelligence and machine learning within the Azure ecosystem, including computer vision, natural language processing, and conversational AI. Students gain practical experience with Azure Machine Learning Studio, learn to implement various ML models, and work with Azure AI services. The curriculum combines theoretical knowledge with hands-on practice, ensuring students can apply their learning to real-world scenarios.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Cloud Computing Basics Explained
Instructor
Adjunct Assistant Professor at Duke University
Dr. Alfredo Deza is an Adjunct Assistant Professor in the Pratt School of Engineering at Duke University, where he teaches courses on machine learning, programming, and data engineering. He has been involved in academia for several years, focusing on innovative teaching methods and practical applications of technology. Dr. Deza co-authored the book Practical MLOps and has published several other works related to Python and machine learning. His teaching includes courses such as Python Bootcamp and advanced data engineering topics, and he actively develops online courses available on platforms like Coursera. In addition to his academic role, Dr. Deza works in developer relations at Microsoft, leveraging his extensive experience in software engineering and cloud computing to enhance educational content and support for students and faculty. He collaborates with various universities worldwide, including Georgia Tech and Carnegie Mellon University, to promote knowledge sharing in the field of technology and data science.
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