Master AI Verification. Stop Hallucinations.
A free, comprehensive course on deterministic AI verification — learn to mathematically prove that LLM outputs are correct before they reach production.
Built on QWED's philosophy: "Safe AI is the only AI that scales." No GPU required. No cost. Just knowledge.
The Core Idea: Artist vs. Accountant
This course teaches you to pair creative AI with deterministic verification — because you wouldn't let an artist do your taxes.
LLMs are Artists
- Creative and convincing
- Great at brainstorming
- Bad at precise details
- Don't ask an artist to do your taxes!
QWED is the Accountant
- Boring and strict
- Terrible at creativity
- Never makes a math mistake
- This is who handles your money!
Developers Ship LLM Apps Without Verification
Most AI applications today go to production with nothing more than prompt engineering and vibes. When a financial chatbot miscalculates interest, or a medical assistant suggests the wrong dosage, there's no safety net.
RAG gives context but can't catch reasoning errors. Guardrails prevent harmful content but can't verify math. Fine-tuning improves probabilities but can never reach 100% accuracy.
After this course, you'll be able to:
- Understand determinism vs probabilistic systems
- Implement formal verification in production
- Use mathematical proofs to catch hallucinations
- Ship provably correct AI outputs
Safety ≠ Correctness
Why LLM-as-a-Judge Fails
Choose Your Learning Path
Whether you have 90 minutes or want the full deep dive, there's a path designed for your role.
Backend Developer
Integrate LLM verification into APIs
Finance / Compliance
Build verification for regulated workflows
AI/ML Engineer
Master verification theory + advanced patterns
Student / Researcher
Understanding neurosymbolic AI fundamentals
Full Course Curriculum
13 modules taking you from zero to production-ready AI verification. Every module is free and open source.
Prerequisites
EasyLLM fundamentals for beginners
The Crisis
EasyWhy LLMs can't be trusted + the real $12,889 bug
Physics of Failure
MediumDeep dive into why LLMs hallucinate
Neurosymbolic Theory
HardDeterminism, symbolic reasoning, verification approach
Hands-On
MediumBuild your first verifier with QWED
Advanced Patterns
HardAdvanced verification patterns for production
Verification Landscape
MediumThe broader AI verification ecosystem
Domains
EasyIndustry-specific verification (Finance, Healthcare, Legal)
Context Engineering
MediumContext engineering for LLM verification
Agentic Workflows
MediumVerification for autonomous AI agents
DevSecOps
MediumCI/CD pipelines for verified AI deployment
Advanced Patterns
HardCryptographic audit trails & compliance
Legal Auditor
MediumBuild a deterministic AI paralegal
What You'll Build
This isn't just theory — you'll ship real, production-ready systems.
Quick Check
Why can't RAG alone prevent hallucinations?
RAG provides context, but can't solve reasoning errors. If a document says "Revenue is $5M" and the LLM calculates "Profit = $5M - $6M = $1M", RAG can't catch that math error. Verification checks the logic deterministically.
Frequently Asked Questions
Do I need a GPU?
No! Run everything locally with Ollama (free, CPU only) or use the OpenAI API for pennies. No expensive hardware required.
How long is the full course?
Fast track: 3-4 hours. Full course with videos: 8-10 hours. With hands-on capstone: 12-15 hours. Go at your own pace over 2-3 weeks.
Is this really free?
100% free and open source under CC0-1.0 (public domain). Part of QWED's mission to make AI verification accessible to everyone.
What will I build?
A verified banking agent, CI/CD pipelines that block hallucinations, and cryptographic audit trails — real portfolio pieces.
Ready to Build Trustworthy AI?
Join a growing community of developers who are learning to verify AI outputs with mathematical certainty. No cost. No catch. Just better AI.
"Safe AI is the only AI that scales." — QWED Philosophy