Build AI Systems in Pure Go, Production LLM Course

Description

Build AI Systems in Pure Go - No Python Required! 🚀 Stop adding Python microservices just to use AI. Learn how to integrate LLMs directly into your Go applications, maintaining your existing architecture while adding intelligent features. 📚 COURSE DETAILS Production LLM Systems with Go - 7+ Hours of Hands-On Content 🔗 Enroll Now: https://vitaliihonchar.com/courses/production-llm-systems-with-go ⚡ WHAT YOU'LL BUILD A complete production-ready intelligent notification system featuring: - Real-time event processing with NATS - AI-powered decision making using OpenAI APIs - Feature engineering from user behavior data - Enterprise-grade reliability patterns - Comprehensive monitoring with Prometheus & Grafana 🎯 WHO THIS IS FOR Intermediate Go developers who want to: ✅ Add AI features without Python dependencies ✅ Maintain existing Go architecture ✅ Build production-grade LLM integrations ✅ Scale AI systems to millions of events 📖 COURSE MODULES - Module 1: Go-Native LLM Integration (45 min) - Module 2: Feature Engineering for AI (70 min) - Module 3: Advanced LLM Patterns & Workflows (80 min) - Module 4: Production Decision Engine (75 min) - Module 5: Reliability & Fault Tolerance (65 min) - Module 6: Monitoring & Cost Optimization (40 min) - Module 7: Scaling to Enterprise Production (40 min) 🛠️ TECH STACK COVERED - Go (pure Go implementation, no Python) - PostgreSQL for data persistence - NATS for event streaming - OpenAI API integration - Prometheus + Grafana for observability - Production patterns: Circuit breakers, Outbox pattern, Fallbacks 💡 KEY TAKEAWAYS → Treat LLMs as HTTP APIs, not mystical black boxes → Engineer intelligent features from your existing data → Master production patterns for reliable AI systems → Monitor costs, latency, and quality at scale → Deploy systems handling millions of daily events 🏆 YOUR INSTRUCTOR Vitalii Honchar - Senior Software Engineer with 9 years building production systems at Pinterest, Revolut, and Form3. Specializing in Go-native AI solutions and infrastructure-first approaches. 🔔 SUBSCRIBE for more content on: - Production Go development - Software architecture patterns - AI/LLM integration techniques - Infrastructure and scaling strategies - Python & Go best practices 💬 JOIN THE DISCUSSION Have questions about integrating AI into Go? Drop them in the comments below! 🔗 USEFUL LINKS Course Page: https://vitaliihonchar.com/courses/production-llm-systems-with-go GitHub: https://github.com/vitalii-honchar LinkedIn: https://www.linkedin.com/in/vitaliihonchar/ Twitter/X: https://x.com/vithonchar Timestamps: 00:00 Introduction 00:12 Author - Vitalii Honchar 00:45 Course Motivation 01:47 System on Course 03:42 Course Modules 04:55 Thank you! #golang #ai #llm #softwarearchitecture #production #gpt #claude #anthropic #openai #programming #softwaredevelopment #backend #distributedsystems #microservices