Learn Azure's AI capabilities, from machine learning to computer vision and language processing, while preparing for the AI-900 certification exam.
Learn Azure's AI capabilities, from machine learning to computer vision and language processing, while preparing for the AI-900 certification exam.
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:
English
English
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
Instructor

20 Courses
A Technology Educator and Former Olympic Athlete Pioneering AI Innovation
Alfredo Deza embodies a unique combination of athletic excellence and technological expertise, transitioning from a distinguished career as Peru's first World Junior Champion in high jump and 2004 Olympian to becoming a leading voice in technology education and development. Currently serving as a Principal Cloud Advocate at Microsoft and Adjunct Assistant Professor at Duke University's Pratt School of Engineering, Deza has built an impressive career spanning nearly two decades in software engineering and education. His academic contributions extend through guest lectures at prestigious institutions including Oxford University, Georgia Tech, and Carnegie Mellon University, where he shares expertise in machine learning, cloud computing, and programming languages. As an accomplished author, he has co-authored several influential books with O'Reilly Media, including "Practical MLOps" and "Python for DevOps," while developing comprehensive courses on Coursera covering topics from large language models to Rust programming. His teaching portfolio at Duke includes graduate-level courses in machine learning operations and Python programming, reflecting his commitment to making complex technical concepts accessible. Deza's expertise encompasses a broad spectrum of technologies, including Azure, MLOps, DevOps, Python, Rust, and Databricks, which he leverages to bridge the gap between academic theory and industry practice. His unique perspective, shaped by his background as an Olympic athlete, influences his approach to teaching and technology, emphasizing the importance of continuous learning and knowledge sharing in the rapidly evolving field of artificial intelligence and cloud computing.
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