This course is part of Cloud Computing Basics Explained.
This comprehensive course prepares students for the Microsoft Azure Fundamentals (AZ-900) certification exam. Through detailed instruction, students learn core Azure concepts, terminology, and architectural patterns. The curriculum includes step-by-step walkthroughs of Azure Learning Paths, study guide creation, and practical application design. Participants gain expertise in resource management, deployment strategies, and large language model integration within the Azure ecosystem. The course provides extensive study materials and reference guides to ensure certification success.
Instructors:
English
English
What you'll learn
Master fundamental Azure cloud computing concepts and terminology
Develop effective strategies for passing the AZ-900 certification exam
Create personalized study guides and reference materials
Design scalable cloud architectures for enterprise applications
Implement Azure resource management and deployment strategies
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
The course offers comprehensive preparation for the Azure Fundamentals certification. Students learn Azure core concepts, service offerings, and architectural patterns through detailed instruction and hands-on practice. The curriculum includes certification exam strategies, study guide creation, and real-world application 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.
Testimonials
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

