This is the launch we've been waiting to ship.
gitGood is no longer just an interview prep platform. It's the only place you need for certification study guides, too. We've packed in 146 guides across 28 providers, covering everything from your first AWS Cloud Practitioner to NVIDIA's agentic AI certs and Anthropic's Claude Certified Architect.
If you've ever opened twelve browser tabs trying to figure out what's actually on a cert exam, this is for you.
What's actually in there
Every cert guide on gitGood includes the same battle-tested content layout, so you don't have to relearn how to study every time you switch exams:
- Fact Sheet - The high-signal cheat sheet. Domain weights, exam format, every service or concept that actually matters.
- Study Plan - A week-by-week schedule with realistic timelines based on your experience level.
- Exam Strategy - How to read questions, eliminate distractors, and manage time on the day.
- Practice Scenarios - Real-world style questions with explanations of why each answer is right or wrong.
- Deep-Dive Notes - Topic-by-topic breakdowns when you need to actually understand the material, not just memorize it.
- Cram Sheet - The one-pager you skim 30 minutes before walking into the testing center.
No fluff, no recycled vendor marketing, no AI slop. Just the stuff that gets you to passing score faster.
The 28 providers we cover
This isn't just AWS. We went wide on purpose, because most engineers stack certs across multiple clouds and tools.
| Provider | Certs | Highlights |
|---|---|---|
| AWS | 17 | Cloud Practitioner -> Solutions Architect Pro, all specialties |
| Azure | 23 | Fundamentals, associate, expert, specialty - the full track |
| GCP | 13 | Including the new GenAI Leader and ML Engineer |
| Kubernetes / CNCF | 7 | CKA, CKAD, CKS, KCNA, KCSA, PCA, ICA |
| NVIDIA | 10 | GenAI, agentic AI, infrastructure, DGX |
| Anthropic | 4 | Claude Certified Architect (Foundations + Advanced), App Developer, Prompt Engineering |
| HashiCorp | 7 | Terraform (associate + pro), Vault, Consul, Boundary, Nomad, Packer |
| Databricks | 6 | Data engineering, ML, GenAI, Lakehouse |
| Snowflake | 4 | SnowPro Core and Advanced tracks |
| GitHub | 5 | Foundations, Actions, Administration, Advanced Security, Copilot |
| Salesforce | 5 | Administrator, Platform Developer I/II, Architect tracks |
| Cisco | 4 | CCNA, CCNP Enterprise, CCNP Security, CyberOps |
| Scrum / Agile | 4 | PSM I, CSM, SAFe Agilist, PMI-ACP |
| FinOps Foundation | 4 | Analyst, Practitioner, Engineer, Professional |
| MongoDB | 3 | Developer, DBA, Atlas |
| ServiceNow | 3 | CSA, CIS-ITSM, Application Developer |
| Tableau | 3 | Desktop Specialist, Data Analyst, Server Associate |
| Confluent / Kafka | 2 | Developer and Administrator |
| CompTIA | 2 | Cloud+ and Security+ |
| Linux Foundation | 2 | LFCS and ITS |
| Red Hat | 2 | RHCSA, OpenShift Administration |
| (ISC)² | 2 | CISSP and CCSP |
| Oracle / IBM / Docker | 11 | OCI, IBM Cloud, Docker DCA |
| Power BI / dbt / CSA | 3 | PL-300, dbt Analytics Engineering, CCSK v5 |
That's the entire modern cloud and platform stack in one place. Stop bouncing between five different study sites.
Why this matters
Here's the thing nobody tells you about certs in 2026: the market is rewarding stacked credentials harder than it ever has.
We pulled the data when we were building this out. Engineers with 2+ relevant certs are getting interview callbacks at roughly 2x the rate of single-cert candidates for senior cloud, platform, and ML roles. Hiring managers are using cert combinations as a fast filter, especially for remote roles where they can't easily verify hands-on experience.
A Solutions Architect Associate plus a CKA. Or AZ-104 plus AZ-400. Or the Anthropic Claude Architect plus an AWS ML Specialty. These combos are showing up in JD requirements constantly.
And the timing is perfect. AI-related certs (NVIDIA's agentic AI track, Anthropic's Claude Architect, Databricks GenAI, GCP's GenAI Leader) didn't exist in this form 18 months ago. Getting in early on these is the closest thing to a free arbitrage opportunity in tech right now.
How the access tiers work
Three guides are free for any registered user, so you can try the format before you commit:
- AWS Cloud Practitioner (CLF-C02)
- Azure Fundamentals (AZ-900)
- Google Cloud Digital Leader
The remaining 143 guides are part of the Premium tier ($5/mo or $40/yr). For context, one cert exam costs more than a full year of Premium. If a single guide saves you one failed attempt, the math is already done.
The integration with the rest of gitGood
This isn't a bolt-on. The cert guides plug into the same gamification system as everything else:
- Reading guides earns points and contributes to your daily streak.
- Cert-specific badges unlock as you complete study plans.
- Your skill profile picks up signal from which providers and domains you're studying.
- Recruiters (Phase 2) will see verified study activity on your profile.
So studying for a cert isn't a sidebar from the rest of your prep. It's part of the same loop that's already getting people hired.
Where to start
If you're new to cloud certs entirely:
- Start with AWS Cloud Practitioner (free).
- If it clicks, go straight into Solutions Architect Associate.
- Add a Kubernetes cert (CKA or CKAD) once SAA is done.
If you're already cloud-fluent and chasing 2026 trends:
- Anthropic Claude Certified Architect.
- NVIDIA Generative AI / Agentic AI track.
- Databricks GenAI Engineer Associate.
If you're optimizing for salary and recruiter inbound:
- AWS Solutions Architect Pro or Azure Solutions Architect Expert.
- CKA + CKS combo.
- HashiCorp Terraform Associate.
There's no wrong starting point. Pick the one closest to the work you actually want to do, and the framework takes care of the rest.
Go look at it
Seriously, just go open it. The hub page lets you browse by provider, search across every cert by name, and see which ones are part of your tier. Most of you will find at least three certs you've been meaning to study for.
We've been heads-down on this for weeks and we're stupidly proud of how it turned out. Let us know what's missing, what's broken, what you want next. This is the start of a much bigger push into structured learning on gitGood.
Now go pass an exam.
#certifications #aws #azure #gcp #kubernetes #cloud #devops