⚙️ Llama.cpp Masterclass

Learn to build, control, and deploy AI models offline — without the cloud.

🎯 What You’ll Learn

• 🧩 Installing and running llama.cpp and GGUF models locally
• ⚙️ Creating reliable AI pipelines using GBNF (Grammar-Based Neural Format)
• 🧠 Building precision AI agents that generate valid JSON, code, and configs
• 📦 Integrating local AI with offline APIs and personal tools
• 🚀 Turning open models into private, predictable engineering assistants

📘 Course Modules

1. Module 1: Offline AI Mindset — Think Locally, Create Globally
2. Module 2: Installing and Running llama.cpp
3. Module 3: Working with GGUF Models
4. Module 4: Precision & Control with GBNF
5. Module 5: Local APIs, Integration & Troubleshooting

Each module includes command-line examples, visual guides, and real offline AI projects.

🧭 Philosophy Behind the Course

“When machines start to think locally, they must speak reliably.”
This masterclass transforms playful AI tinkering into structured engineering. You’ll learn not just to prompt — but to command, constrain, and compose local intelligence.

🔗 Explore the Project

All course materials are open-source on GitHub.

View on GitHub