Authoritative GCP
This course is part of Introduction to Cloud Computing.
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: Introduction to Cloud Computing
Instructor
30 Courses
Pioneering Tech Leader & AI Educator Shaping the Future of Machine Learning
Noah Gift is a distinguished technology leader and founder of Pragmatic AI Labs with a remarkable 30-year career spanning film, TV, telecom, social networks, startups, and big data, currently serving as an Executive-in-Residence at Duke University. As an AWS ML Hero and Python Software Foundation Fellow, he has authored best-selling books through O'Reilly and Pearson on DevOps, MLOps, data engineering, and cloud computing that are widely adopted by major universities. His expertise in MLOps, data engineering, cloud architecture, and Rust programming has led him to teach thousands of students across prestigious institutions including Duke, Northwestern, UC Berkeley, University of San Francisco, and UC Davis, while also collaborating with Caltech and JPL on automated IT systems. Gift's impact extends beyond academia through his work as a startup CTO, his role in developing scalable distributed systems, and his contributions as a keynote speaker at conferences focused on cloud development and ethical AI use, holding certifications from AWS, Google, and Microsoft, and having published over 100 technical works while conducting workshops for organizations like NASA, PayPal, and PyCon.
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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.