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Introduction to Machine Learning Models (AI) Testing
Discover how to effectively test Machine Learning models from scratch. Understand various testing types and strategies applicable across all phases of ML model development, reinforced with practical real-time examples. Grab a verified Udemy coupon today and save 95% on Machine Learning learning in 2026.
by Rahul Shetty Academy · ⭐ 4.5 via Udemy · 12,997 students · English
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$9.99$199.9995% OFF
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✓ 95% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since June 11, 2025 to August 12, 2026. Red dot = current price ($9.99) — CoursesWyn records the price on each sync.
Current price
$9.99
Original price
$199.99
Tracked since
June 11, 2025
Last checked
Aug 12
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on August 12, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
8.9
/ 10
Discount depth
95%
Udemy rating
4.5 / 5
Popularity
12,997 students
Tracking length
427 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Jun 11, 2025Listed by CoursesWyn — price recorded at $9.99Listed
Aug 12, 2026Coupon checked — checkout price $9.99 · listed until Sep 11Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | August 12, 2026 |
| Level | All Levels |
| Content | 5 hours |
| Language | English |
| Requirements | None. All the concepts are taken care with Scratch explanation |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
Introduction to Artificial Intelligence and Machine Learning Models
Understanding Lifecycle of Machine Learning Models and their testing Scope
Shift-Left Testing in the ML Engineering Phase such as OverFitting & UnderFitting Testing
QA Functional Testing in the ML Validation Phase with 25 different Testing types & Strategies
API Testing Scope for Machine Learning Models with ChatGPT Model example
Responsible AI Testing for Machine Learning Models such as Bias, Fairness, Ethical, Privacy Testing etc
Post-Deployment Testing Strategies for ML Models such as DataDrift & Concept Drift testing
Continuous Tracking and Monitoring Activities for QA in Production
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