Cloud Virtualization, Containers, APIs - Pragmatic AI
This course is part of Cloud Computing Basics Explained.
This comprehensive course provides practical experience with fundamental cloud computing technologies. Students learn to work with virtual machines and containers, develop microservices using Flask and Kubernetes, and implement DevOps best practices for cloud operations. The curriculum covers essential topics like API development, infrastructure optimization, monitoring, and load testing. Through hands-on labs and projects, participants gain practical skills in designing and deploying scalable cloud solutions while applying continuous improvement methodologies like Kaizen.
Instructors:
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What you'll learn
Implement elastic cloud computing resources following best practices
Develop APIs using software engineering principles and patterns
Create and manage Docker containers for various workflows
Implement Kubernetes deployments and orchestration
Build microservices using DevOps methodologies
Optimize cloud infrastructure for cost efficiency
Skills you'll gain
This course includes:
29 Hours PreRecorded video
12 quizzes, 13 ungraded labs, 11 discussion prompts
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
The course provides a thorough introduction to cloud computing fundamentals, focusing on key building blocks like virtual machines and containers. Students learn to develop microservices, implement DevOps practices, and manage cloud operations effectively. The curriculum combines theoretical knowledge with extensive hands-on practice through labs and discussions, covering topics from basic virtualization to advanced operational concepts like monitoring and load testing. Special emphasis is placed on best practices for cost optimization and continuous improvement.
Getting Started with Cloud Building Blocks
Module 1
Virtualization and Containers
Module 2
Microservices
Module 3
Operations
Module 4
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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