Master cloud computing essentials, from infrastructure to ML engineering. Build practical solutions using AWS, GCP, and Azure.
Master cloud computing essentials, from infrastructure to ML engineering. Build practical solutions using AWS, GCP, and Azure.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Cloud Computing Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
English
What you'll learn
Build cloud computing infrastructure using Agile techniques
Design cloud-native systems with containers and microservices
Implement data engineering solutions in cloud environments
Develop ML applications using AutoML and MLOps
Create a portfolio of practical cloud computing projects
Skills you'll gain
This course includes:
16 Hours PreRecorded video
Access on Mobile, Desktop
FullTime access
Shareable certificate
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There are 8 modules in this course
This comprehensive professional certificate program covers the complete spectrum of cloud computing technologies. Through eight specialized courses, students progress from foundational concepts to advanced implementations across major cloud platforms. The curriculum includes hands-on projects building cloud infrastructure, working with containers and microservices, implementing data engineering solutions, and developing machine learning applications. Students create a portfolio of real-world projects including serverless websites, containerized applications, and ML-powered solutions. The program covers AWS, GCP, and Azure fundamentals, providing a broad understanding of cloud platforms.
Fee Structure
Payment options
Financial Aid
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Frequently asked questions
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