Introduction to AWS for Beginners

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📘 Chapter 5: AWS Certification Paths and Next Steps

🔍 Overview

You’ve now laid a solid foundation in AWS by learning cloud basics, core services, deployment workflows, and best practices. The next step in your cloud journey is to build real-world skills, validate your knowledge with certifications, and develop a personalized learning path aligned with your career goals.

In this chapter, you’ll learn:

  • The importance and value of AWS certifications
  • A breakdown of each AWS certification path
  • How to choose the right path (based on role)
  • Resources and strategies to prepare for exams
  • How to build a long-term AWS career roadmap

🏆 1. Why Get AWS Certified?

Benefits of AWS Certification

  • Proves your cloud expertise to employers
  • Boosts your resume and opens high-paying roles
  • Increases confidence in real-world deployments
  • Access to the AWS Certified Global Community
  • Free practice exams, badges, and special event invitations

📈 Career Impact of AWS Certifications

Metric

Value

Avg. Salary (AWS Certified)

$110,000 – $160,000/year (varies by role)

Hiring demand (global)

High in DevOps, Cloud Architect, AI/ML

Time to complete

2–6 months per certification (varies)


🧭 2. AWS Certification Levels

AWS certifications are organized across four levels:

Level

Description

Foundational

For beginners to validate cloud fundamentals

Associate

Intermediate-level cloud roles

Professional

Advanced, complex cloud environments

Specialty

Deep focus in a specific domain (e.g., ML)


📘 3. All AWS Certifications Overview

Certification

Level

Role Targeted

AWS Cloud Practitioner

Foundational

Business, beginners

AWS Solutions Architect Associate

Associate

Architects, developers

AWS Developer Associate

Associate

Software engineers

AWS SysOps Administrator Associate

Associate

IT Admins, DevOps

AWS Solutions Architect Pro

Professional

Senior architects

AWS DevOps Engineer Professional

Professional

Automation experts

AWS Security Specialty

Specialty

Security engineers

AWS Data Analytics Specialty

Specialty

Data engineers

AWS Machine Learning Specialty

Specialty

ML Engineers, Data Scientists

AWS Advanced Networking Specialty

Specialty

Network engineers

AWS SAP on AWS Specialty

Specialty

Enterprise SAP consultants


🪜 4. Choosing the Right Path for Your Career

🔹 Path 1: Cloud Beginner or Manager

  • Start with: AWS Cloud Practitioner
  • 📌 Learn about cloud economics, billing, and core services

🔹 Path 2: Developer or Engineer

  • Start with: Developer Associate
  • 📌 Master services like Lambda, API Gateway, DynamoDB, and CI/CD tools

🔹 Path 3: System Administrator or DevOps

  • Start with: SysOps Admin or DevOps Pro
  • 📌 Focus on infrastructure, automation, and security

🔹 Path 4: Solutions Architect

  • Start with: Architect Associate → Architect Pro
  • 📌 Learn to design secure, scalable, and cost-efficient architectures

🔹 Path 5: Data / ML / Security Expert

  • Start with: SAA + relevant specialty
  • 📌 Examples: ML Specialty for AI roles, Security Specialty for compliance-heavy industries

📝 5. Certification Study Plan (Step-by-Step)

Phase

Duration

Activities

Week 1-2

10–14 hrs

Understand exam blueprint + key service overview

Week 3-4

15–20 hrs

Take video courses (Udemy, Coursera, AWS Skill Builder)

Week 5-6

15–25 hrs

Practice labs (Cloud Academy, Qwiklabs)

Week 7-8

10–15 hrs

Solve practice exams (Whizlabs, Tutorials Dojo)

Week 9

5–8 hrs

Review weak areas, retake mock test

Week 10

Take the certification exam


🛠️ Recommended Learning Resources

Resource

Use Case

AWS Skill Builder

Free courses from AWS itself

ACloudGuru / Linux Academy

Hands-on labs and deep dives

Udemy

Budget-friendly, beginner courses

Qwiklabs

Real AWS console access labs

Tutorials Dojo

High-quality practice exams


🧪 6. Hands-on Project Ideas to Practice

  • 🚀 Launch a blog website on EC2 + S3
  • 📊 Build a serverless API with Lambda + DynamoDB
  • 🧠 Train a basic ML model with SageMaker
  • 🔐 Create a multi-AZ secure VPC architecture
  • ️ Implement CI/CD with CodePipeline + CodeBuild

🔁 7. Continuing AWS Beyond Certification

After Getting Certified:

  • Add certification to LinkedIn and resume
  • Join the AWS Certified LinkedIn Group
  • Attend AWS Community Days or re:Invent
  • Start contributing to open-source AWS projects on GitHub

📚 Join Learning Communities:

Platform

Community

LinkedIn Groups

AWS Cloud Practitioners, AWS Developers

Discord Servers

Cloud Study Network, Cloud Newbies

Reddit

r/aws, r/aws_certifications

Meetups

AWS User Group (by region)


🔐 8. Career Titles That Benefit from AWS Certs

Job Role

Certification Path

Cloud Solutions Architect

SAA → SAP

DevOps Engineer

SOA → DevOps Pro

Cloud Developer

DVA → Pro / Specialty

Data Analyst

SAA + Data Analytics Specialty

ML Engineer / Scientist

ML Specialty

Security Engineer

Security Specialty + SAA


🧭 Summary Table – AWS Certification Roadmap

Path

Certifications

Beginner

Cloud Practitioner

Developer

Developer Associate → DevOps Pro

Architect

SAA → SAP

Operations

SysOps Admin → DevOps Pro

Data/Analytics

SAA + Data Analytics Specialty

Machine Learning

SAA + ML Specialty

Security

SAA + Security Specialty


🏁 Final Thoughts

AWS certification is not just a badge—it’s a structured, powerful way to prove your expertise, gain hands-on confidence, and position yourself in a cloud-first career. With real-world practice, a solid study plan, and a little persistence, you’ll be well on your way to becoming a certified AWS professional.

Remember, AWS is a skill you build over time—every lab, project, and practice exam sharpens your capabilities.

In the final chapter, we’ll help you build a complete project portfolio and map your long-term AWS career strategy

Back

FAQs


❓1. What is AWS and what does it do?

Answer:
AWS (Amazon Web Services) is a cloud computing platform that provides on-demand access to computing power, storage, databases, networking, machine learning, and more. It allows users to run applications, host websites, and store data without owning physical servers.

❓2. Is AWS free to use?

Answer:
Yes, AWS offers a Free Tier that gives new users limited access to services like EC2, S3, Lambda, and RDS for 12 months. However, exceeding usage limits or using services not covered by the free tier may result in charges.

❓3. What are the most commonly used AWS services for beginners?

Answer:
Popular AWS services for beginners include:

  • EC2 (virtual servers)
  • S3 (file storage)
  • RDS (databases)
  • Lambda (serverless computing)
  • IAM (user and access management)

❓4. How do I start using AWS as a beginner?

Answer:

  1. Create a free AWS account
  2. Log into the AWS Management Console
  3. Explore core services like EC2 and S3
  4. Follow official tutorials or beginner courses
  5. Practice with small projects to build hands-on experience

❓5. What is EC2 in AWS?

Answer:
EC2 (Elastic Compute Cloud) allows you to run virtual machines (instances) in the cloud. You can choose an operating system, configure storage, and scale resources based on your needs.

❓6. What is S3 used for?

Answer:
Amazon S3 (Simple Storage Service) is used to store and retrieve any amount of data at any time. It is ideal for backups, file hosting, media libraries, and serving static content.

❓7. Do I need to know programming to learn AWS?

Answer:
Not necessarily. While programming helps in using services like Lambda and automation via SDKs or the AWS CLI, many services can be managed through the AWS web console with little to no code.

❓8. Is AWS certification necessary?

Answer:
No, but it’s helpful. Certifications like AWS Cloud Practitioner or Solutions Architect Associate validate your skills and improve job prospects, especially if you plan to work in cloud roles.

❓9. Can I use AWS for hosting a website?

Answer:
Yes. You can host a static website using S3 and CloudFront or a dynamic website using EC2, RDS, and Load Balancer. AWS offers flexible solutions for all types of web hosting.

❓10. What are Availability Zones and Regions in AWS?

Answer:
Regions are geographical locations (like us-east-1, ap-south-1) where AWS operates data centers. Each region contains Availability Zones (AZs)—isolated locations for high availability and fault tolerance.