---

title: "AWS vs Azure vs GCP: Which Cloud Platform Should You Learn First in 2026?"

slug: "aws-vs-azure-vs-gcp-which-to-learn-2026"

meta_title: "AWS vs Azure vs GCP: Which to Learn First in 2026? [Compared]"

meta_description: "AWS vs Azure vs GCP compared across 15+ factors. Market share, salary, certs, jobs. Find which cloud platform fits YOUR career in 2026."

author: "Kenny Ogunlowo"

date: "2026-05-11"

category: "Cloud Careers"

tags: ["aws", "azure", "gcp", "cloud certification", "cloud careers", "which cloud to learn", "cloud comparison 2026", "cloud jobs"]

target_keyword: "aws vs azure vs gcp which to learn first"

search_volume: 4800

keyword_difficulty: 35

internal_links:

• "/pages/free-courses"
• "/collections/architecture-blueprints"
• "/collections/career-development"
• "/collections/career-intelligence"

word_count: 3400

---

AWS vs Azure vs GCP: Which Cloud Platform Should You Learn First in 2026?

> Key Takeaway: If you are starting from zero and want the highest number of job openings worldwide, learn AWS first. If your employer runs Microsoft 365 or you target enterprise IT roles, start with Azure. If your goal is data engineering, machine learning, or Kubernetes-native work, start with GCP. There is no wrong choice -- any of the three will produce a six-figure career path within 18 months of focused study. The important thing is to pick one, earn a certification, and build real projects.

---

The 2026 Cloud Market at a Glance

The cloud infrastructure market reached $84 billion in Q4 2025, according to Synergy Research Group. AWS, Azure, and GCP together control roughly 67% of that market. Every Fortune 500 company runs workloads on at least one of these three platforms. Every one of them is hiring.

But the question is not "which platform is best." The question is "which platform is best *for your career situation right now.*"

This guide compares all three across 15 factors -- market share, salary, certification cost, job availability, learning curve, and more -- so you can make a data-driven decision instead of following hype.

---

The Master Comparison Table

This is the single most comprehensive side-by-side comparison of AWS, Azure, and GCP for career planning in 2026. Bookmark it.

Factor	AWS	Azure	GCP
**Global market share (Q4 2025)**	31%	25%	11%
**Revenue (Q4 2025, annualized)**	$105B	$84B	$44B
**Total services offered**	240+	200+	150+
**Free tier duration**	12 months + always-free tier	12 months + always-free tier	12 months + always-free tier + $300 credit

**Entry-level cert cost**	$150 (Cloud Practitioner)	$165 (AZ-900 Fundamentals)	$99 (Cloud Digital Leader)
**Associate-level cert cost**	$150 (Solutions Architect Associate)	$165 (AZ-104 Administrator)	$200 (Associate Cloud Engineer)
**Professional-level cert cost**	$300 (Solutions Architect Pro)	$165 (AZ-305 Expert)	$200 (Professional Cloud Architect)
**Total certifications available**	12	14	11
**US job postings (LinkedIn, May 2026)**	168,000+	142,000+	58,000+

**Avg US salary, certified associate**	$138,000	$132,000	$141,000
**Avg US salary, certified professional**	$162,000	$155,000	$168,000
**Learning curve (1=easiest)**	2 (moderate)	2 (moderate, easier with Microsoft background)	1 (cleanest console, smallest surface area)
**Documentation quality**	Extensive but dense	Improving rapidly, Microsoft Learn is strong	Concise, developer-friendly
**Community size (Stack Overflow tags)**	480,000+	310,000+	160,000+

---

Salary Comparison by Role and Platform

Salary data matters. Here is what the 2025-2026 Dice Technology Salary Report and Robert Half data show for US-based roles:

**Best for**	General cloud, startups, serverless	Enterprise IT, hybrid cloud, .NET workloads	Data/ML, Kubernetes, analytics
Role	AWS Specialist	Azure Specialist	GCP Specialist

Cloud Engineer	$128,000 - $155,000	$122,000 - $148,000	$132,000 - $160,000
Solutions Architect	$145,000 - $185,000	$140,000 - $178,000	$150,000 - $190,000
DevOps Engineer	$135,000 - $170,000	$130,000 - $165,000	$138,000 - $175,000
Data Engineer	$130,000 - $165,000	$125,000 - $158,000	$140,000 - $180,000
Security Engineer	$142,000 - $188,000	$138,000 - $180,000	$145,000 - $185,000

GCP specialists command a 5-12% salary premium on average. The reason: smaller talent pool. Fewer people hold GCP certifications, so supply-demand dynamics push compensation higher. This premium has held steady since 2023.

---

AWS: The Market Leader

Why AWS Leads

Amazon Web Services launched in 2006 and has maintained market leadership for nearly two decades. That first-mover advantage translates directly into career outcomes:

• 168,000+ active job postings in the US alone (LinkedIn, May 2026)
• 240+ services spanning compute, storage, databases, ML, IoT, robotics, satellite ground stations, and quantum computing
• Largest partner ecosystem -- every consulting firm (Accenture, Deloitte, Capgemini) has an AWS practice
• Government and defense -- AWS GovCloud holds FedRAMP High authorization and supports IL5 workloads, making it the default for federal contracts
• Startup dominance -- AWS Activate gives startups up to $100,000 in credits; the majority of Y Combinator companies start on AWS

AWS Strengths

Serverless leadership. AWS Lambda was the first major serverless compute platform. Combined with API Gateway, DynamoDB, Step Functions, and EventBridge, AWS has the most mature serverless ecosystem. If you want to build event-driven architectures without managing servers, AWS is where the tooling is deepest.

Breadth of services. No other platform matches AWS in sheer number of managed services. Need a ground station for satellite data? AWS Ground Station. Need a quantum computing simulator? Amazon Braket. This breadth means whatever your employer needs to build, AWS probably has a managed service for it.

Training and community resources. AWS Skill Builder, A Cloud Guru, Stephane Maarek's Udemy courses, Adrian Cantrill's courses, freeCodeCamp tutorials, and thousands of blog posts. The volume of learning material for AWS exceeds Azure and GCP combined.

AWS Weaknesses

Console complexity. The AWS Management Console has accumulated 20 years of UI decisions. Finding the right setting for a VPC or IAM policy can feel like navigating a government bureaucracy. New learners routinely report feeling overwhelmed.

Pricing opacity. AWS pricing has more variables than a calculus exam. Data transfer costs, cross-AZ traffic fees, NAT Gateway charges -- these catch beginners off guard. The AWS Cost Explorer helps, but you need to learn it early.

Naming conventions. EC2, S3, RDS, ECS, EKS, ECR, EFS, EBS -- the acronym soup is real. Azure and GCP use more descriptive service names. AWS relies on abstract naming that requires memorization.

AWS Certification Path

ML Engineer	$155,000 - $200,000	$148,000 - $195,000	$160,000 - $210,000

Level	Certification	Exam Code	Cost	Study Time
Foundational	Cloud Practitioner	CLF-C02	$150	40-60 hours
Associate	Solutions Architect Associate	SAA-C03	$150	80-120 hours
Associate	Developer Associate	DVA-C02	$150	80-100 hours
Associate	SysOps Administrator	SOA-C02	$150	80-100 hours

Recommended starting path: Cloud Practitioner, then Solutions Architect Associate. The SAA-C03 is the most-requested cloud certification in job postings globally.

For a structured study plan, see the AWS Solutions Architect study guide in our free courses library.

Ideal AWS Learner Profile

• You want the highest number of available jobs
• You are targeting startups or early-stage companies
• You want to specialize in serverless or microservices architecture
• You are pursuing government or defense cloud work
• You prefer learning with a massive community and abundant tutorials

---

Azure: The Enterprise Powerhouse

Why Azure Grows Fastest

Microsoft Azure has been the fastest-growing major cloud platform since 2020, consistently posting 25-30% year-over-year revenue growth. The driver: enterprise migration.

• 142,000+ active job postings in the US (LinkedIn, May 2026)
• 95% of Fortune 500 companies use Microsoft Azure (Microsoft fiscal report 2025)
• Deep integration with Microsoft 365, Active Directory, Dynamics 365, and Power Platform -- if a company runs Outlook, Teams, or SharePoint, Azure is already in the building
• Strongest hybrid cloud story with Azure Arc and Azure Stack, critical for industries like banking, healthcare, and manufacturing that cannot go fully public cloud
• LinkedIn integration -- Microsoft owns LinkedIn, which means Azure AI services power LinkedIn's recommendation engine and create a tight feedback loop for enterprise AI adoption

Azure Strengths

Enterprise identity and security. Azure Active Directory (now Entra ID) is the dominant enterprise identity provider. If you learn Azure, you learn the identity layer that protects most corporate environments on the planet. This skill transfers directly into security, compliance, and identity management roles.

Hybrid and multi-cloud. Azure Arc lets you manage on-premises servers, Kubernetes clusters, and even AWS/GCP resources from the Azure control plane. For companies that will never be 100% in the cloud -- hospitals, banks, manufacturers -- Azure is the natural choice.

Microsoft ecosystem leverage. If a company already pays for Microsoft 365 E5 licenses, they get significant Azure credits and bundled services. This economic lock-in means Azure grows wherever Microsoft 365 grows.

AI investment. Microsoft's multi-billion-dollar partnership with OpenAI means Azure OpenAI Service is the enterprise gateway to GPT-4, DALL-E, and Whisper. Companies that want ChatGPT-level AI with enterprise compliance (data residency, SLAs, private endpoints) deploy on Azure.

Azure Weaknesses

Portal sprawl. The Azure Portal contains dozens of "blades" and sub-menus. Resource management sometimes requires navigating between the Azure Portal, Microsoft 365 Admin Center, Entra ID portal, and Azure DevOps -- four different dashboards for one ecosystem.

Service naming changes. Microsoft renames Azure services regularly. Azure AD became Entra ID. Azure Sentinel became Microsoft Sentinel. Azure Monitor has absorbed multiple sub-services. This naming churn makes blog posts and documentation go stale faster than on AWS or GCP.

Linux support is secondary. While Azure supports Linux VMs well, the developer tooling favors .NET and Windows. If you are a Python-on-Linux developer, some Azure workflows will feel more friction than their AWS or GCP equivalents.

Azure Certification Path

Professional	Solutions Architect Professional	SAP-C02	$300	150-200 hours
Specialty	Security, ML, Data Analytics, Networking, Database, SAP	Various	$300	100-150 hours each

Level	Certification	Exam Code	Cost	Study Time
Fundamentals	Azure Fundamentals	AZ-900	$165	30-50 hours
Associate	Azure Administrator	AZ-104	$165	80-120 hours
Associate	Azure Developer	AZ-204	$165	80-100 hours
Associate	Azure Security Engineer	AZ-500	$165	80-100 hours

Recommended starting path: AZ-900 Fundamentals (often free through Microsoft Virtual Training Days), then AZ-104 Administrator.

Microsoft frequently offers free certification vouchers through Microsoft Learn and Ignite events. Check the career development resources for current promotions.

Ideal Azure Learner Profile

• Your current or target employer uses Microsoft 365
• You are interested in enterprise IT, hybrid cloud, or identity management
• You want to work in healthcare, banking, government, or manufacturing (regulated industries)
• You are a .NET or C# developer
• You want frequent free certification opportunities

---

GCP: The Engineering-First Platform

Why GCP Commands Premium Salaries

Google Cloud Platform holds 11% market share -- third place behind AWS and Azure. But that number tells an incomplete story.

• 58,000+ active job postings in the US (LinkedIn, May 2026)
• GCP-certified professionals earn 5-12% more than AWS or Azure counterparts at equivalent experience levels (Global Knowledge IT Skills and Salary Report 2025)
• Google invented Kubernetes, MapReduce, BigQuery, TensorFlow, and Spanner -- the foundational technologies behind modern data infrastructure. Learning GCP means learning from the source.
• BigQuery processes exabytes of data daily and dominates the cloud data warehouse market in analytics-heavy organizations
• GCP leads in AI/ML services with Vertex AI, Gemini API, TPU access, and AutoML -- Google's AI research advantage (DeepMind, Google Brain) flows directly into GCP products

GCP Strengths

Data and analytics. BigQuery is arguably the best-designed cloud data warehouse on any platform. It is serverless, columnar, supports standard SQL, and scales to petabytes without cluster management. If you want a career in data engineering or analytics, BigQuery experience is gold on a resume.

Kubernetes-native. Google invented Kubernetes and runs Google Kubernetes Engine (GKE), the most mature managed Kubernetes service. GKE Autopilot removes node management entirely. If container orchestration is your focus, GCP is the home platform.

Clean developer experience. The GCP Console is the most modern and intuitive of the three. Cloud Shell provides a browser-based terminal with gcloud CLI pre-installed. The documentation is concise and developer-focused -- less enterprise jargon, more code examples.

AI/ML leadership. Vertex AI provides a unified ML platform for training, deploying, and monitoring models. TPU v5e instances offer the best price-performance for large model training. Google's Gemini models are available through Vertex AI with enterprise SLAs. For ML engineers, GCP is the most productive platform.

GCP Weaknesses

Smaller job market. 58,000 US postings versus 168,000 for AWS means roughly one-third the opportunity volume. In smaller cities or regions with fewer tech companies, GCP-specific roles can be scarce.

Enterprise features lag. GCP has historically trailed AWS and Azure in enterprise features like hybrid connectivity, compliance certifications, and partner ecosystem breadth. Google is closing this gap but has not reached parity.

Service discontinuation risk. Google's reputation for killing products (Google Reader, Hangouts, Stadia) creates hesitation among enterprise buyers. While GCP has never killed a core cloud service, the perception persists and affects adoption.

Smaller community. 160,000 Stack Overflow tags versus 480,000 for AWS. When you hit a wall at 2 a.m., you will find fewer blog posts and forum answers for GCP-specific issues.

GCP Certification Path

Expert	Azure Solutions Architect	AZ-305	$165	120-160 hours
Expert	DevOps Engineer	AZ-400	$165	100-140 hours
Specialty	Azure AI Engineer, Data Engineer, etc.	AI-102, DP-203	$165	80-120 hours each

Level	Certification	Exam Code	Cost	Study Time
Foundational	Cloud Digital Leader	CDL	$99	30-50 hours
Associate	Associate Cloud Engineer	ACE	$200	80-120 hours
Professional	Professional Cloud Architect	PCA	$200	120-160 hours
Professional	Professional Data Engineer	PDE	$200	100-140 hours

Recommended starting path: Cloud Digital Leader (cheapest entry cert at $99), then Associate Cloud Engineer.

Our free courses library includes GCP-specific study materials and lab exercises.

Ideal GCP Learner Profile

• You want to specialize in data engineering, analytics, or machine learning
• You value clean developer tooling and documentation
• You are comfortable with a smaller job market in exchange for higher per-role compensation
• You want deep Kubernetes expertise
• You are targeting companies in tech, media, gaming, or AI startups

---

Decision Matrix: Choose Your Platform

Choose AWS if...

Professional	Professional ML Engineer	PMLE	$200	120-160 hours
Professional	Cloud DevOps Engineer, Security Engineer, Network Engineer	Various	$200	100-140 hours each

Situation	Why AWS
You want maximum job options	168,000+ US postings, most in any cloud
You are targeting startups	60%+ of startups begin on AWS (AWS Activate credits)
You want serverless depth	Lambda, Step Functions, EventBridge -- most mature serverless stack
You want government/defense work	GovCloud (FedRAMP High, IL5) is the federal standard

Choose Azure if...

You learn best with large communities	Largest documentation base, most tutorial content
Situation	Why Azure
Your employer uses Microsoft 365	Azure integrates natively with AD, Teams, SharePoint
You work in regulated industries	Strongest hybrid cloud (Azure Arc, Azure Stack)

Choose GCP if...

You want free cert opportunities	Microsoft regularly offers free vouchers at events
You are a .NET developer	Native integration with Visual Studio, .NET, C#
You want enterprise AI (OpenAI)	Azure OpenAI Service is the enterprise GPT gateway
Situation	Why GCP

---

Can You Learn All Three?

Yes. And you should -- eventually. But not at the same time.

The Multi-Cloud Career Strategy

Year 1: Go deep on one platform. Pick the platform that matches your current job market and interests. Earn at least an associate-level certification. Build 3-5 real projects (not tutorials, actual deployed applications). This gives you a marketable skill set.

Year 2: Add a second platform. The concepts transfer. Once you understand VPCs on AWS, Azure Virtual Networks and GCP VPCs make sense in days, not weeks. Earn a foundational or associate cert on your second platform. You are now a multi-cloud engineer -- your resume stands out.

Year 3: Add the third, or go deep on specialties. By this point you have strong opinions about which platform you prefer. Either add the third platform at foundational level or pursue professional/specialty certifications on your primary platform.

What Transfers Across All Three

You want data/ML careers	BigQuery, Vertex AI, TPUs -- best-in-class data stack
You want highest salary per cert	GCP certs command 5-12% salary premium
You love Kubernetes	Google invented it; GKE is the most mature managed K8s
You prefer clean developer UX	Best console, best docs, smallest learning surface
You target tech-forward companies	Google, Spotify, Twitter, Snap, and most AI startups run on GCP

Concept	AWS Term	Azure Term	GCP Term
Virtual machines	EC2	Virtual Machines	Compute Engine
Object storage	S3	Blob Storage	Cloud Storage
Managed database	RDS	Azure SQL / Cosmos DB	Cloud SQL / Spanner
Serverless compute	Lambda	Azure Functions	Cloud Functions

Container orchestration	EKS	AKS	GKE
Identity and access	IAM	Entra ID / RBAC	Cloud IAM
CDN	CloudFront	Azure CDN / Front Door	Cloud CDN
DNS	Route 53	Azure DNS	Cloud DNS
Monitoring	CloudWatch	Azure Monitor	Cloud Monitoring

The underlying concepts -- networking, security, storage tiers, cost optimization, IaC, CI/CD -- are platform-agnostic. Learn them once, apply everywhere.

For hands-on multi-cloud projects, explore the Architecture Blueprints collection which includes deployment templates for all three platforms.

---

The Africa Factor: Cloud Jobs in Nigeria, Kenya, and South Africa

If you are building a cloud career from Africa, the platform choice carries additional weight. The African cloud market is growing at 25%+ annually, but job distribution across platforms is not uniform.

Cloud Job Distribution in Africa (2026)

IaC	CloudFormation	ARM / Bicep	Deployment Manager

Country	Leading Platform	Estimated Cloud Jobs	Key Employers
Nigeria	Azure (45%) > AWS (35%) > GCP (20%)	8,500+	MTN, Access Bank, Flutterwave, Andela, Microsoft ADC
Kenya	AWS (40%) > Azure (35%) > GCP (25%)	6,200+	Safaricom, Equity Bank, Africa's Talking, Twiga Foods
South Africa	Azure (50%) > AWS (30%) > GCP (20%)	12,000+	Naspers, Discovery, Standard Bank, Microsoft CETA
Egypt	AWS (45%) > Azure (35%) > GCP (20%)	5,800+	Vodafone Egypt, CIB, Amazon Development Center Cairo

Why Azure Leads in Africa

Microsoft has invested heavily in African data center infrastructure. The South Africa North and South Africa West regions (launched 2019) were the first hyperscaler data centers on the continent. Microsoft also runs the Africa Development Center (ADC) in Lagos and Nairobi, directly hiring hundreds of African engineers.

For Nigerian cloud professionals specifically, Azure skills open doors at the largest employers -- banks (Access, GTBank, First Bank) and telecoms (MTN, Airtel) that standardized on Microsoft.

Why AWS Is Growing Fastest in Africa

AWS opened its Cape Town region in 2020 and has announced plans for Lagos. The AWS re/Start program in Lagos, Nairobi, and Cape Town trains professionals for free and places graduates in AWS partner companies. Startups funded by Y Combinator, Techstars, and 500 Global tend to run on AWS, and Africa's startup ecosystem is scaling rapidly.

The GCP Opportunity in Africa

GCP does not yet have a data center in Africa (the nearest region is in the Middle East), but Google's investment in undersea cables (Equiano) and its Grow with Google Africa initiative signal long-term commitment. GCP roles in Africa tend to be at tech-forward companies and AI startups, with premium compensation.

Recommendation for African professionals: Start with Azure if targeting enterprise roles at banks and telecoms. Start with AWS if targeting startups and the growing tech ecosystem. Start with GCP only if specifically pursuing data/ML roles at multinational tech companies.

For Africa-specific career guidance, see the career intelligence collection which includes salary benchmarks, certification ROI analysis, and hiring trends across 12 African markets.

---

Frequently Asked Questions

Is AWS still the best cloud platform to learn in 2026?

AWS remains the safest default choice for most learners in 2026. It holds 31% global market share, has the most job postings (168,000+ in the US), and has the largest community of tutorials and training resources. However, "best" depends on your specific career goals, employer, and region. Azure is the better choice if you work in a Microsoft shop, and GCP pays more per certification for data and ML roles.

How long does it take to get AWS certified?

Most learners pass the AWS Cloud Practitioner (CLF-C02) in 40-60 hours of focused study over 4-6 weeks. The AWS Solutions Architect Associate (SAA-C03) typically requires 80-120 hours over 8-12 weeks. These timelines assume you have basic IT knowledge. Complete beginners should add 2-4 weeks for networking and Linux fundamentals. Check our free courses for structured study plans.

Which cloud certification pays the most in 2026?

The Google Cloud Professional Cloud Architect certification commands the highest average salary at $168,000 in the US, according to the Global Knowledge IT Skills and Salary Report 2025. The AWS Solutions Architect Professional follows at $162,000, and Azure Solutions Architect Expert at $155,000. However, total compensation depends on experience, location, and negotiation -- not just the certification name.

Can I get a cloud job with no experience?

Yes, but certification alone is not enough. Employers want to see evidence that you can build and troubleshoot real systems. The path: earn an associate-level certification, build 3-5 hands-on projects deployed on actual cloud infrastructure (not just tutorials), contribute to open-source projects that use cloud services, and write about what you built. This combination regularly lands entry-level cloud roles paying $80,000-$110,000 in the US.

Is Google Cloud worth learning in 2026?

GCP is worth learning if you are targeting data engineering, machine learning, or Kubernetes-focused roles. GCP-certified professionals earn 5-12% more than AWS or Azure counterparts at equivalent experience levels because of the smaller talent pool. The risk: fewer total job openings (58,000 vs. 168,000 for AWS). The reward: higher per-role compensation and exposure to cutting-edge infrastructure.

Should I learn Azure if I don't use Windows?

Azure is platform-agnostic for most services. You can manage Azure resources from macOS or Linux using the Azure CLI, Terraform, or Pulumi. The Azure Kubernetes Service (AKS) runs Linux containers. Azure Functions support Python, Java, and Node.js. The only area where Windows gives a meaningful advantage is .NET/C# development and tight Visual Studio integration. If your company uses Microsoft 365, learning Azure makes strategic sense regardless of your personal OS preference.

Which cloud platform is easiest to learn?

GCP has the cleanest console interface, the most developer-friendly documentation, and the smallest service catalog (150+ services vs. 240+ for AWS). This makes it the easiest platform for raw learning speed. Azure is easiest if you already know the Microsoft ecosystem. AWS has the steepest initial learning curve due to service sprawl and naming conventions, but has the most learning resources available to offset that difficulty. All three platforms offer free tier accounts -- try each for a weekend before committing.

---

Sources and Data References

Ghana	AWS (40%) > Azure (40%) > GCP (20%)	2,800+	MTN, Ecobank, Hubtel, Ghana Digital Centers

Source	Data Used	Date
Synergy Research Group	Cloud market share (Q4 2025)	January 2026
Flexera 2026 State of the Cloud Report	Enterprise cloud adoption patterns	March 2026
Dice 2025-2026 Technology Salary Report	US technology salary benchmarks	February 2026
Global Knowledge IT Skills and Salary Report 2025	Certification salary premiums	November 2025

---

What to Do Next

1. Pick one platform based on the decision matrix above. Do not overthink this. Any of the three will advance your career.
2. Create a free tier account on your chosen platform. All three offer 12 months of free-tier services.
3. Start a structured study plan. Our free courses library includes guided paths for AWS, Azure, and GCP -- from zero to associate certification.
4. Build real projects. Deploy a web application, set up a CI/CD pipeline, create a data pipeline. Tutorials teach concepts; projects teach skills.
5. Earn your first certification within 90 days. The credential validates your knowledge to employers and gives you confidence for interviews.
6. Explore career resources. The career development collection includes resume templates, interview prep guides, and salary negotiation frameworks specific to cloud roles.

The cloud job market added 1.4 million new positions globally in 2025. That number is projected to grow 22% in 2026. The question is not whether to learn cloud -- it is which platform to start with. Now you have the data to decide.

LinkedIn Jobs (live search)	Job posting counts by platform	May 2026
Robert Half Technology Salary Guide 2026	Role-specific compensation ranges	January 2026
Gartner Magic Quadrant for Cloud Infrastructure	Platform capability assessment	October 2025
AWS, Azure, GCP official pricing pages	Certification costs, free tier details	May 2026