Master AI Verification: Stop LLM Hallucinations in Production

🎓 Free, open-source course on deterministic AI verification

Part of QWED-AI • Member of NVIDIA Inception Program

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🎯 Jump to: 📺 Video Intro | 📈 Your Progress | 🚀 Choose Your Path | 🗺️ Course Map | ❓ FAQ

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▶️ Watch Course Introduction (5 min)

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📊 Your Learning Progress

📈 Track Your Progress (Click to Expand)

Module Completion:

• Module 0: Prerequisites (20 min)
• Module 1: The Crisis (30 min)
• Module 1.5: Physics of Failure (45 min)
• Module 2: The Theory (45 min)
• Module 3: Hands-On (60 min)
• Module 4: Advanced (45 min)
• Module 5: Verification Landscape (45 min)
• Module 6: Domains (60 min)
• Module 7: Context Engineering (60 min)
• Module 8: Agentic Integration (60 min)
• Module 9: DevSecOps (45 min)
• Module 10: Advanced Patterns (45 min)
• Module 11: Legal Auditor (60 min)

💡 Pro Tip: Save this page (bookmark) or fork the repo to track your checkboxes!

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🚀 Choose Your Path

Which role matches you? (Click to Expand)

👨‍💻 Backend Developer (90 mins)

Learning to integrate LLM verification into APIs

Module 0 → Module 1 → Module 3 (Hands-On) → Module 9 (DevSecOps)

→ Start Here

🏦 Finance/Compliance (2 hours)

Building verification for regulated workflows

Module 1 → Module 2 → Module 6 (Finance Domain) → Module 11 (Legal Auditor)

→ Start Here

🤖 AI/ML Engineer (Full Course)

Master verification theory + advanced patterns

All modules + Capstone Project

→ Start Here

🎓 Student/Researcher (Theory Focus, 90 mins)

Understanding neurosymbolic AI fundamentals

Module 2 → Module 1.5 → Module 5 → Module 10

→ Start Here

⏱️ How Much Time Do You Have?

• ⚡ 30 mins: Module 1 (The Crisis)
• 🚀 2 hours: Core Developer Path (Hands-On)
• 🎓 Full Course: 8-10 Hours (Spread over 2 weeks)

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🗺️ Course Map at a Glance

Module	Time	Focus	Best For	Difficulty
0: Prerequisites	20m	Fundamentals	New to LLMs	⭐ Easy
1: The Problem	30m	The Problem	Everyone	⭐ Easy
2: Theory	45m	Logic	Engineers	⭐⭐⭐ Hard
3: Hands-On	60m	Code	Builders	⭐⭐ Medium
6: Domains	60m	Industry	Business	⭐ Easy
11: Legal	60m	Law	Legal Tech	⭐⭐ Medium

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Why This Course?

The Problem:

• Developers ship LLM-powered apps without verification
• No one teaches verification fundamentals

After This Course:

• ✅ Understand determinism vs probabilistic systems
• ✅ Implement formal verification in production
• ✅ Use mathematical proofs to catch hallucinations
• ✅ Ship provably correct AI outputs

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💡 The Core Concept: Artist vs. Accountant

Think of it this way:

🎨 LLMs are Artists

• Creative and convincing
• Bad at precise details
• Don't ask an artist to do your taxes!

🧮 QWED is the Accountant

• Boring and strict
• Never makes a math mistake
• This is who you want handling your money!

Visual Workflow:

graph LR
    A["User Query<br/>Natural Language"] --> B["LLM Artist<br/>Creative & Fast"]
    B --> C["Draft Answer<br/>May contain errors"]
    C --> D["QWED Accountant<br/>Strict & Deterministic"]
    D --> E{"Mathematically<br/>Proven?"}
    E -->|"✅ Yes"| F["Verified Output<br/>100% Confidence"]
    E -->|"❌ No"| G["Error Report<br/>+ Explanation"]
    
    style B fill:#ffc107
    style D fill:#4caf50
    style F fill:#4caf50
    style G fill:#f44336

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❓ Quick Questions Before You Start

Do I need a GPU?

No! You can run everything locally with:

• Ollama (free, runs on CPU)
• Or use OpenAI API (cheap for learning)

See setup guide →

How long is this really?

• Fast track (skipping videos): 3-4 hours
• Full course with videos: 8-10 hours
• With hands-on capstone: 12-15 hours

Spread over 2-3 weeks at your pace.

Will I get certified?

GitHub doesn't issue certs, but you'll build:

• A verified banking agent (portfolio piece)
• Production-ready verification patterns
• Cryptographic Audit Trail for compliance

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📚 Course Curriculum (Detailed)

Module 1: The Crisis (30 mins) ✅

Why LLMs can't be trusted + Real $12,889 bug.

Module 1.5: The Physics of Failure (45 mins) ✅

Deep dive: Why LLMs hallucinate and why verification is NECESSARY.

Module 2: The Theory (45 mins) ✅

Determinism, symbolic reasoning, verification approach.

Module 3: Hands-On (60 mins) ✅

Build your first verifier with QWED + Production examples.

Module 11: The Legal Auditor (60 mins) ✅

Build a Deterministic AI Paralegal with qwed-legal.

(See "Track Your Progress" at top for full list)

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🎯 Quick Check: Did You Understand?

Quiz: Why can't RAG alone prevent hallucinations? (Click for Answer)

Answer: RAG provides context, but it doesn't solve reasoning errors. If the retrieved document says "Revenue is $5M" and the LLM calculates "Profit = $5M - $6M = $1M", RAG can't catch that math error. Verification (like QWED) checks the logic deterministically.

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🎯 What You'll Build

By the end of this course, you will be able to add this seal of trust to your own AI agents:

By the end, you'll have:

• ✅ Verified Banking Agent that refuses to steal
• ✅ CI/CD Pipeline that blocks hallucinating PRs
• ✅ Cryptographic Audit Trail for compliance

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🤝 Help Us Improve

• ⭐ Star the repo
• 🐛 Report issues
• 💬 Join the community
• 📝 Contribute

Last Updated: January 2026 | 11 Modules | Growing Community

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📄 License

CC0-1.0 - Public domain. Free to use, modify, and share!

Ready to build trustworthy AI?

🚀 Start with Module 1

"Safe AI is the only AI that scales."

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