Cloud Virtualization, Containers and APIs
Learn cloud computing through practical experience with VMs, containers, microservices & DevOps tools to create scalable cloud solutions.
Learn cloud computing through practical experience with VMs, containers, microservices & DevOps tools to create scalable cloud solutions.
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
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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