Authoritative GCP
This course is part of Cloud Computing Basics Explained.
This comprehensive course equips cloud architects and developers with essential skills for Google Cloud Platform (GCP). Through hands-on labs and expert instruction, students learn to design, plan, and manage enterprise cloud solutions. The curriculum covers network topology configuration, storage systems management, security implementation, and solution optimization. Participants gain practical experience in architecting scalable, secure solutions while preparing for the Google Professional Cloud Architect certification exam.
Instructors:
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What you'll learn
Design secure and compliant cloud solutions
Configure GCP network and storage resources
Implement CI/CD pipelines effectively
Manage deployment and monitoring systems
Optimize business processes on GCP
Prepare for Professional Cloud Architect certification
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 provides comprehensive coverage of Google Cloud Platform architecture and management. Students learn to design and implement secure, scalable enterprise solutions, configure network and storage resources, and implement security best practices. The curriculum includes hands-on experience with GCP services, CI/CD pipelines, monitoring systems, and optimization techniques. Special emphasis is placed on preparing students for the Professional Cloud Architect certification.
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
Executive in Residence and Founder of Pragmatic AI Labs at Duke University
Noah Gift is the founder of Pragmatic AI Labs and serves as an Executive in Residence at Duke University, where he lectures in the Master of Interdisciplinary Data Science (MIDS) program. He specializes in designing and teaching graduate-level courses on machine learning, MLOps, artificial intelligence, and data science, while also consulting on machine learning and cloud architecture for students and faculty. A recognized expert in the field, Gift is a Python Software Foundation Fellow and an AWS Machine Learning Hero, holding multiple AWS certifications, including AWS Certified Solutions Architect and AWS Certified Machine Learning Specialist. He has authored several influential books, such as Practical MLOps, Python for DevOps, and Pragmatic AI, and has published over 100 technical articles across various platforms, including Forbes and O'Reilly. His extensive industry experience includes roles as CTO and Chief Data Scientist for notable companies like Disney Feature Animation, Sony Imageworks, and AT&T, contributing to major films like Avatar and Spider-Man 3. Gift's work has generated millions in revenue through product development on a global scale. He actively consults startups on machine learning and cloud architecture while leading initiatives to enhance data science education.
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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.