AWS vs Google Cloud training in 2026: cert paths, exam costs, and job market value compared. AWS certs are in 3x more job postings than GCP. Full breakdown.
March 29, 2026
CourseFacts Team
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Mar 29, 2026Featured course
PublishedMar 29, 2026
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AWS and Google Cloud are the two dominant platforms in developer education for cloud skills in 2026. AWS holds approximately 31% of the global cloud market; Google Cloud holds around 11%. Both have mature certification tracks, dedicated training platforms, and strong employer recognition — but they serve meaningfully different audiences and career paths.
If you're deciding where to invest your training time, this guide cuts through the marketing to compare certification paths, exam costs, free vs. paid training resources, and job market data.
Choose AWS training if your goal is maximum job-market optionality. AWS certifications appear in roughly 3x more job postings than GCP certifications across most roles and geographies. The Solutions Architect Associate (SAA-C03) is the single most in-demand cloud certification in 2026.
Choose Google Cloud training if your work centers on data engineering, machine learning, or AI infrastructure. GCP's data and AI services — BigQuery, Vertex AI, Dataflow, Pub/Sub — are best-in-class, and Google's ML certifications are increasingly valued at companies running large-scale AI workloads.
AWS uses four tiers. The intended path for most learners is linear, though you can skip tiers depending on experience:
Foundational
AWS Certified Cloud Practitioner (CLF-C02) — $100. Non-technical overview of AWS services, pricing, and the shared responsibility model. Appropriate for managers, salespeople, and developers who want a low-risk entry credential before committing to deeper study.
Associate (each $150)
AWS Certified Solutions Architect Associate (SAA-C03) — The most popular and most job-relevant AWS certification. Covers compute (EC2, Lambda), storage (S3, EBS), databases (RDS, DynamoDB), networking (VPC, Route 53), and high-availability architecture patterns.
AWS Certified Developer Associate (DVA-C02) — Focuses on Lambda, DynamoDB, API Gateway, and CI/CD services (CodePipeline, CodeDeploy). Ideal for developers building serverless and cloud-native applications.
AWS Certified SysOps Administrator Associate (SOA-C02) — Operations and monitoring focus. Includes a hands-on exam lab component unique among AWS associate certifications.
Professional (each $300)
AWS Certified Solutions Architect Professional (SAP-C02) — The hardest AWS certification. Complex multi-account, multi-region architectures.
AWS Certified DevOps Engineer Professional (DOP-C02) — CI/CD pipelines, infrastructure as code, and operational best practices at scale.
Specialty ($300 each)
Advanced certifications for Security, Machine Learning, Advanced Networking, Data Analytics, and Database specialties.
GCP uses three tiers, and its Professional certifications are accessible without requiring the associate tier first:
Foundational
Google Cloud Digital Leader — $200. Business-oriented overview of GCP capabilities. Analogous to AWS Cloud Practitioner but priced higher and less widely recognized in job postings.
Associate
Associate Cloud Engineer (ACE) — $200. Hands-on deployment and management of GCP workloads using the Console and CLI. Covers Compute Engine, GKE, Cloud Storage, IAM, and networking. Highly practical — ACE holders demonstrate they can actually build on GCP, not just describe it.
Professional (each $200)
Professional Cloud Architect (PCA) — The GCP flagship certification. Designing, planning, and managing GCP solutions.
Professional Data Engineer — The standout GCP certification for data roles. BigQuery, Dataflow, Pub/Sub, Cloud Bigtable, and data pipeline architecture.
Professional Machine Learning Engineer — ML workflows on Vertex AI, model training, deployment, and MLOps. Increasingly relevant as AI workloads shift to cloud infrastructure.
Professional Cloud Developer, Cloud DevOps Engineer, Cloud Network Engineer, Cloud Security Engineer — Role-specific professional certifications.
One notable advantage of GCP's pricing: All Professional certifications cost $200, compared to AWS Professional certifications at $300. If you plan to pursue multiple professional-tier credentials, GCP is meaningfully cheaper per exam.
The difference is marginal. AWS is slightly cheaper if you only plan to take one or two certifications; GCP is cheaper if you're collecting multiple Professional-tier certs.
AWS Skill Builder's free tier is genuinely useful. It includes:
Digital courses for every AWS service and certification path
Official exam readiness training for all AWS certifications
AWS Cloud Quest (gamified, scenario-based labs)
AWS Educate (for students)
Exam Prep Official Practice Question Sets (some free)
The paid Individual subscription ($29/month) adds hands-on lab environments — provisioned AWS accounts where you complete guided tasks without incurring personal AWS costs. It also includes official AWS practice exams, which closely mirror the actual exam format.
Value assessment: Even on the free tier, AWS Skill Builder provides enough content to supplement a primary course (like Stephane Maarek's Udemy course). The $29/month paid tier is worth it for 1–2 months of exam prep, especially for the official practice exams.
Website: cloudskillsboost.google
Free tier: Yes — learning paths only (no labs)
Subscription: $29/month
Google Cloud Skills Boost (formerly Qwiklabs) is the official GCP training platform. The free tier provides access to learning paths and video content, but the distinctive feature — Qwiklabs hands-on labs — requires the paid subscription or individual lab credits.
Labs are a genuine differentiator. Each lab provisions a real GCP environment with a temporary account and a specific task (deploy a containerized app to GKE, configure BigQuery data pipelines, set up Cloud Spanner). The tasks map directly to what the ACE and Professional exams test.
Value assessment: For GCP, the Skills Boost subscription is more important than for AWS because hands-on lab experience is more directly tested in GCP exams — particularly the Associate Cloud Engineer. Budget for 1–3 months of the subscription during your exam prep window.
AWS has excellent third-party course options on Udemy:
Stephane Maarek — The most reviewed AWS instructor on the platform. Courses for Cloud Practitioner, Solutions Architect Associate, Developer Associate, SysOps Admin, and several Professional certifications. His SAA-C03 course has 250,000+ reviews at 4.7/5. Typically $15 on sale.
Neal Davis (Digital Cloud Training) — Strong alternative, especially for SAA-C03 and Developer Associate. Many learners use both Maarek and Davis for topics where one explanation doesn't click.
Jon Bonso (Tutorials Dojo) — Not a course but the best practice exam resource for AWS. His Udemy practice test packs are harder than the real exam and widely credited for passing results.
A Cloud Guru (Pluralsight) — ~$49/month. Includes sandbox AWS environments. Strong for DevOps Engineer Professional and specialty certifications.
Google Cloud on Coursera — Official Google-authored courses. The "Preparing for Google Cloud Certification" specializations on Coursera are well-structured and authoritative. Covered by Coursera Plus.
Antoni Tzavelas (Udemy) — The most popular GCP instructor on Udemy for Professional Cloud Architect and Data Engineer prep. Courses are $15 on sale.
A Cloud Guru — Also covers GCP certification paths with hands-on labs.
Linux Foundation / Cloud Academy — Additional options for structured lab-based GCP learning.
This is the most consequential factor for most learners in 2026.
AWS dominates job postings. An analysis of cloud job postings across LinkedIn, Indeed, and Dice in early 2026 finds:
AWS certifications appear in approximately 3x more job postings than GCP certifications
The AWS Solutions Architect Associate (SAA-C03) is the single most frequently listed cloud certification requirement
GCP certifications appear disproportionately in data engineering, ML engineering, and analytics roles
Azure certifications (not covered in this guide) are competitive with AWS in enterprise IT and Microsoft-adjacent roles
By role, here's where each platform has strongest demand:
Role
Stronger Platform
Cloud Solutions Architect
✅ AWS
Cloud Engineer / DevOps
✅ AWS
Backend Developer (cloud-native)
✅ AWS
Data Engineer
✅ GCP (BigQuery, Dataflow)
ML / AI Engineer
✅ GCP (Vertex AI)
Analytics Engineer
✅ GCP (BigQuery)
Security Engineer
AWS (slight edge)
Kubernetes / Container specialist
Tie (GKE vs EKS)
Important context: Many large cloud deployments are multi-cloud. A data engineer at a company that uses BigQuery for analytics and AWS for application infrastructure may need both. AWS skills still open more doors, but GCP skills command a premium in data and ML roles.
Data engineers — BigQuery is the industry-leading cloud data warehouse. If your work involves large-scale data pipelines, GCP certification signals genuine expertise
Machine learning engineers — Vertex AI, TensorFlow integration, and Google's TPU infrastructure make GCP the preferred platform for ML workloads at scale
AWS is the right choice for most people. The job market data is decisive: AWS certifications appear in 3x more job postings than GCP certifications. If you want maximum career optionality and don't have a specific data/ML focus, start with AWS Cloud Practitioner and then Solutions Architect Associate.
GCP is the right choice for data and ML professionals. BigQuery, Dataflow, and Vertex AI are best-in-class services that AWS genuinely hasn't matched. If your career trajectory points toward data engineering or machine learning infrastructure, GCP Professional Data Engineer and ML Engineer certifications are worth the investment.
The practical path for most learners in 2026:
Start with AWS — Stephane Maarek's Cloud Practitioner course ($15) + exam ($100). Validates you understand cloud fundamentals and signals AWS intent to employers.
Pursue AWS Solutions Architect Associate — The highest-ROI certification in cloud. Maarek's SAA-C03 course ($15) + Tutorials Dojo practice tests ($15) + exam ($150) = ~$180 total.
Add GCP Professional Data Engineer if your role is data-focused — Antoni Tzavelas's Udemy course + Google Cloud Skills Boost subscription for 1–2 months of lab practice.
Don't spend time debating which cloud platform is "better." Learn AWS for career breadth; layer in GCP when your role demands it.
