AI: Cloud Virtualization, Containers and APIs

AI: Cloud Virtualization, Containers and APIs

by Pragmatic AI Labs

Introduction to Cloud Computing

A Comprehensive Course by AI

Course Description

Embark on an exciting journey into the world of cloud computing with this comprehensive course designed to provide you with hands-on experience and practical skills in cloud technologies. This introductory-level course, offered by AI, is part of the Professional Certificate in Introduction to Cloud Computing program. It covers essential topics such as virtualization, containers, microservices, and cloud operations, equipping you with the knowledge and skills needed to thrive in the rapidly evolving field of cloud computing.

What You'll Learn

  • Fundamentals of cloud computing building blocks, including virtual machines and containers
  • Development of microservices using technologies like Flask and Kubernetes
  • Best practices for effective cloud operations, including monitoring, alerting, and load testing
  • Application of DevOps principles in building and deploying cloud-native applications
  • Practical skills for designing and implementing scalable, reliable cloud solutions
  • Evaluation and implementation of elastic cloud computing resources
  • Development of APIs using software engineering best practices
  • Planning and execution of successful Kubernetes workflows
  • Optimization of infrastructure configurations for cloud cost efficiency
  • Implementation of continuous improvement methodologies like Kaizen

Prerequisites

This course is designed for beginners, and there are no specific prerequisites mentioned. However, basic computer literacy and familiarity with programming concepts would be beneficial.

Course Content

  • Cloud computing fundamentals and building blocks
  • Virtualization and containerization technologies
  • Microservices architecture and development
  • DevOps principles and practices
  • Cloud operations and management
  • API development and software engineering best practices
  • Kubernetes workflows and orchestration
  • Infrastructure optimization and cost management
  • Monitoring, alerting, and load testing strategies
  • Continuous improvement methodologies

Who Should Take This Course

  • Aspiring cloud computing professionals
  • Software developers looking to transition to cloud-native development
  • IT professionals seeking to expand their skills in cloud technologies
  • Students pursuing careers in computer science or related fields
  • Anyone interested in gaining practical knowledge of cloud computing concepts and applications

Real-World Applications

  • Designing and implementing cloud-based solutions for businesses
  • Developing scalable and reliable cloud-native applications
  • Optimizing cloud infrastructure for cost-efficiency and performance
  • Implementing effective monitoring and alerting systems for cloud environments
  • Applying DevOps practices to streamline software development and deployment processes
  • Managing and orchestrating containerized applications using Kubernetes
  • Creating and maintaining microservices-based architectures
  • Conducting load testing and performance optimization for cloud applications
  • Implementing continuous improvement strategies in cloud operations
  • Collaborating effectively in cloud-based development teams

Syllabus

1. Getting Started with Cloud Building Blocks (Module 1 - 1 hour)

  • Course introduction and prerequisites
  • Lab onboarding and project overview
  • Cloud provider account setup (AWS, Azure, GCP)

2. Virtualization and Containers (Module 2 - 10 hours)

  • Introduction to virtual machines and containers
  • Comparison of containers vs. virtual machines
  • Hands-on labs with Docker and containerization
  • AWS EC2 and spot instances

3. Microservices (Module 3 - 9 hours)

  • Introduction to microservices architecture
  • Developing microservices with Flask and FastAPI
  • DevOps best practices for microservices
  • Hands-on labs for microservice development

4. Operations (Module 4 - 9 hours)

  • Effective monitoring and alerting strategies
  • Load testing and performance optimization
  • Scaling and monitoring cloud applications
  • Continuous improvement methodologies (e.g., Kaizen)
  • Hands-on labs for load testing and cloud sandboxes
Similar Courses
Course Page   AI: Cloud Virtualization, Containers and APIs