Comparison

AWS AIF vs QuiddityML

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

AWS AIF

Features
Read full description

Prepare for the AWS Certified AI Practitioner (AIF-C01) exam with realistic practice questions, exam mode, review mode, detailed explanations, bookmarks, and performance tracking. Study anytime with full offline access, review weak areas by domain, and build confidence before exam day. FEATURES • Realistic exam simulation with timed mode • Practice mode for focused, untimed study • Detailed explanations for every question • Bookmark questions for quick review • Performance tracking by exam domain • Offline access — study anywhere, no internet required • Cloud sync — sign in with Google to back up your progress PREMIUM SUBSCRIPTION Dojo Exam offers an auto-renewable annual subscription to unlock the full question bank. • Subscription name: Annual Auto-Renew • Duration: 1 year • Price: See in-app pricing for your region • Payment is charged to your Apple ID account at confirmation of purchase • Subscription automatically renews unless cancelled at least 24 hours before the end of the current period • Your account will be charged for renewal within 24 hours prior to the end of the current period • You can manage and cancel your subscription in your Apple ID account settings after purchase • Any unused portion of a free trial period, if offered, will be forfeited when you purchase a subscription ACCOUNT & DATA • Sign in with Google to sync progress across devices • Delete your account and all associated data anytime from Settings → Delete Account Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://dojo-exam-production.up.railway.app/privacy

About

QuiddityML

Master machine learning and AI with interactive coding exercises and spaced repetition. This app offers structured learning paths, practical projects, and interview preparation to build deep understanding and practical skills.

Highlights
  • Structured AI learning tracks
  • Hands-on coding exercises
  • Spaced repetition for retention
  • Beginner-friendly explanations
  • Interview preparation
  • Real-world projects
Features
Read full description

QuiddityML is for anyone who wants to truly understand machine learning and AI, not just watch videos and forget everything a week later. Short daily lessons and hands-on practice that make it stick. A Clear Roadmap Every track lays out every concept you need and the order to learn them in, so you always know what's ahead and where your gaps are. Follow the curriculum or jump straight to any concept. Short Lessons Each concept is a few slides you can finish in a busy day, with clear analogies, diagrams, real math, and worked code, instead of a 40-hour course you never finish. 11 Types Of Hands-On Exercises Reading is passive. QuiddityML makes you do the work: fill in implementations, spot bugs, trace tensors, write code from scratch. Progress through 4 tiers of difficulty with feedback on every answer. Spaced Repetition Built In Your review schedule is built from how you do in the exercises. What you struggle with comes back sooner, what you ace stays away, so you don't forget last week's concept. Math In Context, Not Up Front The Math track covers only the basics you need to start. The ML lessons teach the rest where it comes up, so you see what each equation is for. Everything In One Place Python, PyTorch, math for ML, ML foundations, NLP, computer vision, and more, in one curriculum that doesn't assume something different in every course. New tracks and concepts are added all the time. Interview Questions And Projects Every unit ends with interview questions and portfolio projects tied to what you just learned, so you walk into your next interview ready. Free: all Python, PyTorch, and Math units plus Unit 1 of every other track. Pro unlocks everything. Learn it once, then keep it. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Screenshots

AWS AIF4 screens
QuiddityML4 screens

Verdict

The call

The clearest difference is update cadence: QuiddityML at every 5 days against AWS AIF's fortnightly. On price, ads, in-app purchases and device support there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. AWS AIF sells 1 in-app purchase, starting at $14.99 per year and QuiddityML sells 2 in-app purchases, starting at $19.99 per month. Whichever you choose, the download price is not the number that matters.

UpkeepUpdate frequency

AWS AIF ships an update fortnightly, QuiddityML every 5 days. The most recent releases landed on October 25, 2026 and October 24, 2026 respectively.

Scorecard1 real difference · 9 level
AWS AIF versus QuiddityML: the parameters behind the verdict, then further details
ParameterAWS AIFQuiddityML
PriceFreeFree
Rating—5.0 (7 ratings) — better
Positive reviews—100.0% of reviews
Number of ratings—7 — better
Update frequencyFortnightlyEvery 5 days — better
AdsNoNo
In-app purchasesYesYes
Monetization—Freemium
DevicesiPhone, iPad, iPod — betteriPhone, iPod
Requires iOS15.115.1
Further details — not scored
Size33 MB51 MB
Age rating4+4+
DeveloperTutorials Dojo Pte. Ltd.QuiddityML LLC

In-app purchases

1 purchases

AWS AIF

Subscriptions1
  • Annual Premium$14.991 Year
2 purchases

QuiddityML

Subscriptions2
  • QuiddityML Pro Monthly$19.991 Month
  • QuiddityML Pro Yearly$149.991 Year

Questions

Is AWS AIF free?
AWS AIF is free to download, with in-app purchases available.
Is QuiddityML free?
QuiddityML is free to download, with in-app purchases available.
Do AWS AIF or QuiddityML have ads?
Neither AWS AIF nor QuiddityML shows ads.
Which is updated more often, AWS AIF or QuiddityML?
AWS AIF ships an update fortnightly, and QuiddityML every 5 days. Most recently, AWS AIF was updated on October 25, 2026 and QuiddityML on October 24, 2026.

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