Cloud Computing, AWS, Azure and Google Cloud Learning Guides
Understand cloud computing through provider comparisons, architecture roadmaps, security guidance, deployed projects and cloud-engineer career resources.
Build a connected understanding.
Cloud learning is easiest when provider names are mapped to transferable decisions about compute, storage, networking, identity, reliability, observability and cost. These resources help you build that architecture map before specialising in AWS, Microsoft Azure or Google Cloud.
- 01
Learn provider-neutral architecture before memorising service catalogues.
- 02
Design identity, networking, monitoring and recovery from the first deployment.
- 03
Explain cost and operational responsibility as part of every cloud decision.
Comparisons, roadmaps, projects and careers.
Choose the question closest to your next decision, then follow the related reading and course links inside each guide.
ComparisonCloud · Comparison · 10 min readAWS vs Azure vs Google CloudAn evergreen framework for comparing AWS, Microsoft Azure and Google Cloud by concepts, ecosystem, projects and career context—not service-count marketing.
Read the guide ↗RoadmapCloud · Roadmap · 10 min readBeginner cloud roadmapLearn cloud computing in a durable order: infrastructure concepts, networking, identity, deployment, data, observability, cost and one complete provider project.
Read the guide ↗Career guideCloud · Career guide · 12 min readTechnology career guideA grounded guide to choosing among AI, data, programming and cloud careers through daily work, skill evidence, projects and a focused 90-day plan.
Read the guide ↗ComparisonCloud · Comparison · 10 min readCloud vs On-PremisesCompare cloud and on-premises infrastructure by cost model, control, scaling, security, operations and workload suitability.
Read the guide ↗
RoadmapCloud · Roadmap · 12 min readAWS learning roadmapFollow an AWS learning roadmap through cloud concepts, identity, networking, compute, storage, databases, monitoring, cost and a secure deployed project.
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Beginner guideCloud · Beginner guide · 11 min readCloud security for beginnersLearn cloud security fundamentals through shared responsibility, identity, least privilege, network boundaries, encryption, secrets, logging and recovery.
Read the guide ↗Project guideCloud · Project guide · 12 min readCloud computing project guideBuild a cloud portfolio project with architecture, identity, networking, storage, deployment, observability, recovery and cost controls.
Read the guide ↗Career guideCloud · Career guide · 12 min readCloud engineer career guideLearn what cloud engineers do, which foundations transfer across AWS, Azure and Google Cloud, and how to build credible architecture and operations evidence.
Read the guide ↗Salary guideCloud · Salary guide · 10 min readCloud Engineer Salary in IndiaUnderstand cloud engineer salary in India through a dated market snapshot, role scope, pay drivers, portfolio evidence and a practical learning roadmap—without treating an average as a promise.
Read the guide ↗Planning your cloud learning path.
Which cloud provider should a beginner choose?+
Choose the provider relevant to your target environment or available project, while learning architecture concepts that transfer across providers.
What should I learn before cloud computing?+
Basic networking, operating-system concepts, command-line work and security principles make cloud architecture easier to understand.
What makes a good cloud portfolio project?+
A small repeatable deployment with identity boundaries, monitoring, recovery, documentation and a cost estimate.
Related Certificate of Specialisation programmes.
Every programme is ₹3,150, 2 Months and 30 Hours, so you can choose by capability and inspect the complete syllabus before enrolling.
Cloud Computing Fundamentals
Understand the shared architecture principles behind every major cloud.
Amazon Web Services
Design and deploy secure, observable workloads on AWS.
Microsoft Azure
Design and operate secure workloads on Microsoft Azure.
Google Cloud
Design and deploy secure workloads on Google Cloud.