Career flexibility · applied learning · three credentials

Cloud, Data & AI
Certification Lab

A personal study system for SnowPro Core COF-C03, AWS Certified AI Practitioner AIF-C01, and AWS Solutions Architect – Associate SAA-C03.

Progress stays localWorks offlineJuly 2026
Where this started

The original spark was a CCNA course post from NetworkChuck, one of Erich’s favorite YouTubers. CCNA remains a strong later path for networking depth; this sequence first targets credentials with more immediate leverage in data products, applied AI, and cloud architecture.

NetworkChuck’s free CCNA series

One coherent sequence—not three unrelated badges

SnowPro formalizes the platform closest to the current job. AI Practitioner adds a compact AI/product signal and an AWS exam voucher. Solutions Architect builds durable judgment across security, resilience, performance, and cost.

1

6–8 weeks

SnowPro Core

Turn existing Snowflake and pipeline experience into a portable credential.

$175 · 35–55 hours
2

3–4 weeks

AWS AI Practitioner

Add a clear AI signal and learn AWS AI language before the architecture exam.

$100 · 15–25 hours
3

10–14 weeks

AWS Solutions Architect

Build broad technical fluency across cloud design tradeoffs.

$75 with voucher · 75–110 hours

Study pace

7 hours

The roadmap recalculates locally.

Personalized estimate

24planned weeks
Dec 20target finish
$350exam-only total

Your evolving study profile

Final calibration happens outside this lab. Use the official Snowflake practice path and AWS Skill Builder question sets/pretests, followed by fresh reputable scenario mocks. The internal quiz is an original concept baseline, not an official score predictor.

Career and project fit

Current job

Snowflake fluency

Deepen platform knowledge behind data products, pipelines, governance, cost, and performance.

Target roles

Applied-AI leadership

Pair product judgment with foundation-model, governance, and cloud-architecture language.

Portfolio

One capstone

Reuse the Discogs/networked-players concept across Snowflake, AI, and AWS architecture.

Later branch

CCNA remains useful

Revisit after SAA if infrastructure, platform, or security product work becomes a deliberate direction.

Progressive capstone

SnowProGoverned Discogs slice
AI PractitionerEvidence-grounded assistant
SAASecure, resilient, costed architecture

Master checklist

0%0 of 0 study actions complete

Booking rules

CredentialDo not book untilReady-to-sit gate
SnowPro CoreArchitecture, access, loading, performance, collaboration, and connectivity labs are complete.Two fresh mixed mocks at ≥80%, no domain below 70%.
AWS AI PractitionerYou can distinguish Bedrock, SageMaker AI, and purpose-built AI services.Two timed sets at ≥85% plus clear responsible-AI explanations.
AWS SAAYou can draw and defend secure multi-tier, serverless, data, and hybrid designs.Three fresh full mocks at ≥80%, with written review of every miss.
Integrity boundary: use official samples and independently authored practice. Avoid unauthorized question collections; they weaken learning and may violate certification rules.