CheckTrue.ai

Learner Guides

Everything you need to make smarter decisions before buying a course.

SAFETY

How to Spot a Scam Course

Learn the 7 most common red flags that separate legitimate online courses from info-product cash grabs — before you hand over your money.

  • Inflated 'original price' discounts (e.g. $299 → $9.99 every day)
  • Vague curriculum with no module previews or sample lessons
  • Tutor with no verifiable real-world credentials
  • Testimonials with stock-photo profile pictures
  • No refund policy or hidden refund obstacles
  • Aggressive upselling inside the course itself
  • Community with heavily moderated / deleted negative reviews
GUIDE

How to Read Your Trust Report

CheckTrue.ai generates a multi-signal trust report. Here's exactly what each section means and how to act on it.

  • Trust Score 0-100: weighted ratio of positive to negative signals across all sources
  • RECOMMENDED (≥70): strong community consensus — generally safe to buy
  • PROCEED WITH CAUTION (45-69): mixed reviews — research further before buying
  • AVOID (<45): predominantly negative signals or scam indicators detected
  • INSUFFICIENT DATA: fewer than 5 total sources — wait for more community data
  • Red Flags: concrete warning signs extracted directly from reviews
  • Good/Bad Reviews: exact quotes from Reddit, YouTube, and review sites
RANKING

Best Platforms Ranked by Trust

Not all course platforms are created equal. Based on thousands of CheckTrue.ai analyses, here's how the major platforms stack up.

  • Coursera — highest avg trust score; backed by universities and verified instructors
  • LinkedIn Learning — professional content, strong employer recognition
  • edX — rigorous academic partnerships, certificates carry real weight
  • Udemy — highly variable; always check individual course scores before buying
  • Skillshare — great for creative fields, subscription model reduces risk
  • Teachable — instructor-hosted; quality depends entirely on the individual
  • Tip: always analyze the specific course, not just the platform
CHECKLIST

Tutor Vetting Checklist

The instructor matters as much as the content. Use this checklist to quickly vet any course creator before enrolling.

  • Do they have a verifiable LinkedIn profile with real work history?
  • Have they published articles, talks, or open-source work in their field?
  • Do they respond to student questions in the Q&A section?
  • Is their course updated regularly (last update within 12 months)?
  • Search '[Tutor Name] reddit' — what do real students say?
  • Are their credentials specific (e.g. 'Senior ML Engineer at Google') vs vague ('entrepreneur')?
  • Do they have a money-back guarantee and honor it?

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