Cloud Computing Essentials - Pragmatic AI Labs
This course is part of Cloud Computing Basics Explained.
This comprehensive course introduces the fundamentals of cloud computing and modern infrastructure management. Students learn to build various types of cloud solutions using serverless technology, virtual machines, and Platform as a Service (PaaS). The curriculum covers essential DevOps principles, Infrastructure as Code (IaC), and continuous delivery pipelines. Through hands-on projects, participants gain practical experience in choosing appropriate service models and implementing efficient cloud infrastructure management solutions.
Instructors:
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What you'll learn
Build websites using various cloud service models and technologies
Implement Infrastructure as Code for cloud resource management
Develop continuous delivery pipelines for efficient deployments
Apply DevOps principles to cloud infrastructure management
Choose appropriate service models for different use cases
Manage cloud resources using modern tools and practices
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This foundational course covers essential aspects of modern cloud computing and infrastructure management. Students learn about different cloud service models, practical implementation of cloud solutions, and DevOps methodologies. The curriculum progresses from basic cloud concepts to advanced topics like Infrastructure as Code and continuous delivery pipelines. Special focus is given to hands-on experience with major cloud providers (AWS, Azure, GCP) and practical infrastructure management techniques.
Getting Started with Cloud Computing Foundations
Module 1
Developing Effective Technical Communication
Module 2
Exploring Cloud Onboarding
Module 3
Evaluating the Cloud Service Model
Module 4
Applying DevOps Principles
Module 5
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
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