EdX

Cloud Computing Foundations (edX)

Offered by AI (Pragmatic AI Labs),
Cloud Computing Foundations (edX)

Learn the foundations of cloud computing and build websites using serverless, PaaS, and IaaS technologies. Apply DevOps principles and create continuous delivery pipelines for efficient cloud infrastructure management.

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In this course, you will:
Build foundational cloud computing infrastructure, including websites using serverless technology, virtual machines, and PaaS (Platform as a Service).
Apply agile software development techniques to small and large projects, useful for building portfolio projects and global-scale cloud infrastructures.
Learn how to effectively choose the right level of abstraction: IaaS (Infrastructure as a Service), MaaS (Metal as a Service), PaaS, and Serverless.
Apply DevOps principles to Cloud Computing, Data Engineering, and Machine Learning.
Utilize IaC (Infrastructure as Code) to manage and provision Cloud infrastructure in a repeatable and idempotent process.
Develop Continuous Delivery pipelines for efficient cloud infrastructure management.
Evaluate best practices for implementing solutions with Cloud Computing.
This course is ideal for beginners and intermediate students interested in applying cloud computing to data science, machine learning, and data engineering. Students should have beginner-level Linux and Python skills.
This course is part of the Introduction to Cloud Computing Professional Certificate.

What you'll learn

  • Build websites using serverless, PaaS, and IaaS technologies
  • Apply DevOps principles to cloud computing
  • Utilize Infrastructure as Code (IaC) for cloud management
  • Develop Continuous Delivery pipelines for efficient infrastructure management
  • Evaluate and choose appropriate cloud service models
  • Apply agile software development techniques to cloud projects
  • Effectively communicate in technical discussions and project management

Syllabus

Here is the course structure formatted with bullets for each module:

1. Module 1: Getting Started with Cloud Computing Foundations (1 hour)

  • Videos:
  • Instructor Introduction (1 minute) [Preview module]
  • Course Introduction (1 minute)
  • Course Prerequisites (2 minutes)
  • Lab Onboarding (1 minute)
  • Course 1 Project Overview (1 minute)
  • Readings:
  • Course Structure and Discussion Etiquette (10 minutes)
  • Getting Started and Course Gotchas (10 minutes)
  • Create a free account with AWS, Azure and GCP (30 minutes)
  • Specialization Project Roadmap: Course 1 (10 minutes)
  • Quiz:
  • Confirming Free Tier Cloud Accounts (30 minutes)
  • Discussion Prompt:
  • Introductions (10 minutes)

2. Module 2: Developing Effective Technical Communication (7 hours)

  • Videos:
  • Introduction to Technical Discussions (1 minute) [Preview module]
  • Technical Discussions with Markdown, GitHub and Jupyter/Colab (10 minutes)
  • Creating Technical Demo Videos (1 minute)
  • Effective Critical Thinking (5 minutes)
  • Effective Technical Triple Threat (2 minutes)
  • Introduction to Effective Technical Teamwork (0 minutes)
  • Effective Technical Teamwork (6 minutes)
  • Introduction to Technical Project Management (2 minutes)
  • Effective Technical Project Management (5 minutes)
  • Ticket Tracking with Trello (4 minutes)
  • Project Planning with Spreadsheets (5 minutes)
  • Project Management Anti-Patterns (5 minutes)
  • Readings:
  • Key Terms (10 minutes)
  • Effective Technical Discussions (10 minutes)
  • Lesson Reflection (10 minutes)
  • Key Terms (10 minutes)
  • Lesson Reflections (10 minutes)
  • Key Terms (10 minutes)
  • Effective Technical Project Management (10 minutes)
  • Lesson Reflection (10 minutes)
  • Project Plan for Course 1 Project (10 minutes)
  • Quiz:
  • Effective Technical Communication Quiz (20 minutes)
  • Assignments:
  • Quiz-Effective Technical Project Management (30 minutes)
  • Quiz-Effective Technical Teamwork (30 minutes)
  • Quiz-Effective Technical Project Management (30 minutes)
  • Discussion Prompts:
  • Reproducible Technical Discussion (10 minutes)
  • Team Performance Analysis (10 minutes)
  • Agile vs. Waterfall Planning (10 minutes)
  • Course 1 Project Plan (60 minutes)
  • Ungraded Labs:
  • Create Markdown in Jupyter (60 minutes)
  • Unit Testing (60 minutes)

3. Module 3: Exploring Cloud Onboarding (9 hours)

  • Videos:
  • Introduction to AWS Cloud Development (5 minutes) [Preview module]
  • Introduction to Continuous Integration (4 minutes)
  • Cloud Development with AWS Cloud9 (9 minutes)
  • Constructing a Python Project Scaffold (19 minutes)
  • Introduction to GitHub Actions (8 minutes)
  • Setup Amazon CodeCatalyst (5 minutes)
  • CodeWhisperer Natural Language to Bash CLI (3 minutes)
  • Introduction to Azure Cloud Development (2 minutes)
  • Introduction to Testing (5 minutes)
  • Cloud Development with Azure Cloud Shell (3 minutes)
  • Azure Cloud Shell Continuous Integration from Zero (12 minutes)
  • Introduction to GCP Cloud Development (0 minutes)
  • Development Onboarding with GCP (8 minutes)
  • Introduction to Continuous Delivery (4 minutes)
  • Cloud Development with Google Cloud Shell (6 minutes)
  • GCP Google App Engine Continuous Delivery from Zero (9 minutes)
  • Microservices with GCP Cloud Run (4 minutes)
  • Using Google Cloud Functions (6 minutes)
  • Readings:
  • Cloud Onboarding with Amazon Web Services (AWS) (10 minutes)
  • Key Terms (10 minutes)
  • Review GitHub Actions GitHub Project (10 minutes)
  • What is Amazon CodeCatalyst (10 minutes)
  • What is CodeWhisperer? (10 minutes)
  • Lesson Reflection (10 minutes)
  • Key Terms (10 minutes)
  • Cloud Onboarding for Azure (10 minutes)
  • What is a Makefile and Why Do You Need it? (10 minutes)
  • Lesson Reflection (10 minutes)
  • Key Terms (10 minutes)
  • Cloud Onboarding for GCP (10 minutes)
  • GAE CD GitHub Source Code Walkthrough (10 minutes)
  • Lesson Reflection (10 minutes)
  • Multi-Cloud Continuous Integration (10 minutes)
  • Quizzes:
  • Quiz-Create an AWS Cloud Development Environment (30 minutes)
  • Quiz-Create an Azure Cloud Development Environment (30 minutes)
  • Quiz-Create a GCP Cloud Development Environment (30 minutes)
  • Cloud Onboarding Quiz (30 minutes)
  • Discussion Prompts:
  • Pros and Cons of Cloud-based Development Environment (10 minutes)
  • Strengths and Weaknesses of Testing (10 minutes)
  • Continuous Integration (CI) and Continuous Delivery (CD) (10 minutes)
  • Ungraded Labs:
  • Python Scaffold (60 minutes)
  • Makefile Hello World (60 minutes)
  • Python Flask Hello World (60 minutes)

4. Module 4: Evaluating the Cloud Service Model (6 hours)

  • Videos:
  • Introduction to Cloud Computing (2 minutes) [Preview module]
  • What is Cloud Computing? (3 minutes)
  • Cloud Computing Service Models (4 minutes)
  • Introduction to Building Multiple Websites (2 minutes)
  • Building a Static S3 Website on AWS (5 minutes)
  • Using AWS Lambda Console to Build Python Lambda Function (5 minutes)
  • Building a Serverless Website on AWS Lambda (5 minutes)
  • Building a Website on an EC2 Virtual Machine (10 minutes)
  • Building a Website using PaaS with AWS Beanstalk (12 minutes)
  • Static Websites with Zola (2 minutes)
  • Customizing Zola Theme (3 minutes)
  • Introduction to Cloud Computing Economics (2 minutes)
  • Cloud Computing Economics: A Story (2 minutes)
  • Cloud Economics Deep Dive (8 minutes)
  • Readings:
  • Key Terms (10 minutes)
  • Cloud Computing Service Models (10 minutes)
  • Lesson Reflection (10 minutes)
  • Key Terms (10 minutes)
  • AWS Lambda Console Gotchas (10 minutes)
  • Building Multiple Types of Websites (10 minutes)
  • Lesson Reflection (10 minutes)
  • Key Terms (10 minutes)
  • Lesson Reflection (10 minutes)
  • Continuous Delivery with AWS Elastic Beanstalk (10 minutes)
  • Quizzes:
  • Quiz-Cloud Computing Service Models (30 minutes)
  • Quiz-Build Multiple Websites: Static, Serverless, Virtualized, PaaS (30 minutes)
  • Quiz-Case Studies of Cloud Computing Economics (30 minutes)
  • Cloud Service Model Quiz (30 minutes)
  • Discussion Prompts:
  • Cloud Service Model (10 minutes)
  • Serverless Web Applications (10 minutes)
  • Economics of Cloud Computing (10 minutes)
  • Ungraded Lab:
  • Zola Static Site (60 minutes)

5. Module 5: Applying DevOps Principles (9 hours)

  • Videos:
  • Introduction to DevOps (1 minute) [Preview module]
  • DevOps in the Real World (1 minute)
  • Benefits of DevOps (3 minutes)
  • DevOps Best Practices (3 minutes)
  • Introduction to Managing Cloud Infrastructure using IaC (1 minute)
  • IaC in the Real World (2 minutes)
  • What is IaC? (2 minutes)
  • Launching a VM with Terraform on GCP (5 minutes)
  • Hello World AWS CDK for Python (7 minutes)
  • Introduction to Continuous Pipelines (1 minute)
  • Continuous Delivery Overview (2 minutes)
  • Continuous Delivery Deep Dive (3 minutes)
  • Continuously Deploy Flask Machine Learning Application with Azure (3 minutes)
  • Continuous Delivery Pipeline with a Lint Operation using Azure (3 minutes)
  • Initial Setup of AWS Cloud9 and GitHub for Hugo (4 minutes)
  • Build Hugo Directory in AWS Cloud9 (20 minutes)
  • Copy Hugo Data into AWS Cloud9 S3 Bucket (4 minutes)
  • Automatic Updating of Hugo in AWS Cloud9 (19 minutes)
  • Readings:
  • Key Terms (10 minutes)
  • What is DevOps? (10 minutes)
  • Lesson Reflection (10 minutes)
  • Key Terms (10 minutes)
  • What is Infrastructure as Code (IaC)? (10 minutes)
  • Create a Linux VM with Infrastructure in Azure using Terraform (10 minutes)
  • Lesson Reflection (10 minutes)
  • Key Terms (10 minutes)
  • Continuous Delivery for Hugo Static Site from Zero (10 minutes)
  • Lesson Reflection (10 minutes)
  • Create a Continuous Delivery Pipeline for an AWS Website (10 minutes)
  • Next Steps (10 minutes)
  • Quizzes:
  • Quiz-Develop Continuous Pipelines (30 minutes)
  • DevOps Principles Quiz (30 minutes)
  • Discussion Prompts:
  • DevOps Core Principles (10 minutes)
  • Infrastructure as Code (10 minutes)
  • Continuous Delivery (10 minutes)
  • Ungraded Labs:
  • Explore Hugo Static Website Builder (60 minutes)
  • Sandbox Jupyter (60 minutes)
  • Sandbox VSCode (60 minutes)
  • Sandbox Linux Desktop (60 minutes)
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