Practical, project-driven video courses detailing high-security architectures, mobile applications, AI systems, and production pipelines.

Most AI courses only teach simple chat wrappers or RAG. This course teaches how to build a persistent, multi-step (up to 20 steps) reasoning loop with human-in-the-loop validation, self-correcting logic, and system-level file/command execution, based on the Contragraviton and Milo AI architectures.

Shows how to construct a unified ecosystem where desktop and mobile sync seamlessly. It covers advanced audio offloading, local speech-to-text, and autonomous background scanning (Heartbeat Mode), using Milo AI codebase.

Dive deep into Peer-to-Peer network engineering. Learn how WebRTC manages media and data connections behind NATs, design and deploy custom STUN/TURN servers, and build secure tunneling scripts to bypass firewalls and expose local services directly to the internet.

Build highly scalable, multi-platform applications using a single Flutter codebase. This course covers production-grade architectural patterns, advanced state management (Bloc/Riverpod), platform-specific design systems, custom desktop integrations, and streaming video apps optimized for Android TV, Apple TV, Web, and Mobile.

An advanced, hands-on masterclass on fine-tuning, quantizing, and deploying open-source Large Language Models (LLMs) locally and on-premise. Learn how to optimize models like Llama, Gemma, and Mistral using QLoRA and LoRA, run them efficiently on consumer-grade hardware (down to 2GB RAM) using llama.cpp, and maintain 100% data privacy.

Master hardware-software integrations. Build real-time IoT dashboards connected to physical ESP8266 and ESP32 microcontrollers. You will learn to write C++ firmware, communicate over WebSockets and MQTT, log sensor telemetry to a database, and design web interfaces to trigger physical actuators.