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Learn online with Cloud Engineers & Infrastructure Engineers with IT lessons over Zoom, Google Meet and Skype and integrated chat for training in how to abstract, pool, and share scalable resources across a network; cloud server administration (Windows and Linux), consuming Cloud services in a secure, repeatable, standardized, and compliant manner; AWS deployment and administration; how to improve cyber security observability and posture for all AWS accounts and services provisioned; how to evolve on-premises infrastructure towards automation, cloud, and DevOps engineering principles & techniques; Kubernetes (EKS) in a commercial environment; Infrastructure as code using Terraform/CloudFormation; . Find Cloud Computing Lessons WFH freelancers on April 30, 2025 who work remotely. Read less
AWS experts often structure cloud computing lessons to cater to different learning stages, from beginners to advanced users, ensuring that each lesson builds upon the last while diving deep into AWS's vast ecosystem. Here's a structured approach with technical details:
1. Introduction to Cloud Computing and AWS Basics
Concepts Covered:
What is cloud computing?
Benefits of cloud computing (scalability, cost-efficiency, global reach).
AWS Global Infrastructure (Regions, Availability Zones, Edge Locations).
Technical Details:
AWS Console Tour: Navigate through the AWS Management Console, understand where to find services.
Creating an AWS Account: Practical steps to set up an AWS account, including security best practices like enabling Multi-Factor Authentication (MFA).
Tools Used:
AWS Free Tier for hands-on labs.
AWS Educate or AWS Academy for structured learning paths.
Technical Details:
- EC2: Launching an instance, understanding AMIs, instance types, and security groups.
- S3: Basics of storage classes, bucket policies, object versioning, and lifecycle management.
- VPC: Designing a simple VPC, understanding subnets, route tables, and internet gateways.
- IAM: Managing users, groups, roles, and policies for access control.
Tools Used:
AWS CLI for automation and scripting basics.
AWS SDKs for programming language-specific examples (e.g., Python with Boto3).
3. Architecture Patterns
Concepts Covered:
- Well-Architected Framework (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, Sustainability).
- Common architectural patterns like microservices, serverless architectures.
Technical Details:
Serverless: Deep dive into Lambda, API Gateway, understanding event-driven architectures.
Microservices: How to structure applications using ECS or EKS, service discovery with Route 53.
Tools Used:
CloudFormation or Terraform for infrastructure as code demonstrations.
AWS X-Ray for tracing and debugging applications.
Technical Details:
- SageMaker: Setting up ML models, from data preparation to deployment.
- ECS/EKS: Practical exercises in deploying containerized applications, managing clusters.
- DevOps: CI/CD pipeline setup, leveraging CodePipeline and CodeBuild.
Tools Used:
AWS CloudWatch for monitoring and logging.
AWS Step Functions for orchestrating complex workflows.
5. Security, Compliance, and Best Practices
Concepts Covered:
AWS Shared Responsibility Model, encryption at rest and in transit, compliance frameworks like GDPR, HIPAA.
Technical Details:
Cost Analysis: Using AWS Cost Explorer to analyze spending patterns.
Cost Optimization: Techniques like using Auto Scaling, choosing the right instance types, and managing data transfer costs.
Tools Used:
AWS Budgets for setting cost alarms.
AWS Pricing Calculator for planning and forecasting costs.
7. Hands-On Labs and Projects
Approach:
Scenarios or capstone projects where students apply what they've learned, from setting up infrastructure to deploying applications.
Technical Details:
Project Examples: Deploying a web application stack, setting up a multi-tier architecture, or creating a data analytics pipeline.
Tools Used:
AWS CloudFormation or Terraform for provisioning resources for projects.
AWS Well-Architected Tool for evaluating architectures against best practices.
8. Certification Prep
Concepts Covered:
Review of AWS Certification paths, exam outlines, and study strategies.
Technical Details:
Practice Exams: Use of AWS practice tests or third-party resources.
Lab Simulations: Recreating exam-like scenarios in a controlled environment.
Tools Used:
AWS's own practice exams or platforms like Udemy, ACloudGuru for additional resources.
9. Continuous Learning
Concepts Covered:
Keeping up with AWS updates, new services, and shifts in technology.
Technical Details:
AWS What's New Blog: Regular check-ins for new features or changes.
AWS re:Invent Sessions: Watching or attending to keep abreast of the latest in AWS.
Tools Used:
AWS Skill Builder for ongoing education and certification paths.
The structure of these lessons often involves a mix of theory, practical labs, real-world scenarios, and certification preparation, tailored to gradually increase complexity and depth as learners progress. This approach not only teaches AWS services but also instills best practices, security considerations, and cost management strategies essential for real-world application.
