Advanced Go for production systems with AI Integration & Observability
Workshop Duration: Duration: ~6 hours (excluding breaks)
Dates: 17th & 18th July 2025 (Thursday & Friday)
Timings: 2:00 PM – 5:30 PM IST (each day)
Overview:
This two-part online workshop equips experienced Go developers to build high-performance,
AI-integrated, and observable backend systems. It blends real-world practices in gRPC,
performance tuning, AI API integration, and service observability.
Key Objectives:
By the end of this workshop, participants will be able to:
Optimize Go performance and gRPC usage in production
Implement observability with OpenTelemetry and resilience techniques
Integrate AI capabilities (LLMs, model serving, APIs) into Go services
Build scalable, AI-powered microservices and design robust architectures
Prerequisites:
Strong understanding of Go programming
Experience with gRPC and basic REST APIs
Familiarity with basic AI/ML concepts (no model training needed)
Optional: Python basics for ML service integration
Mode: Online/Offline
Course Outline
Session 1: Performance, gRPC, Observability
1. Advanced gRPC & Go Runtime Tuning
- Interceptors, retries, deadlines
- Go scheduler, GC tuning
- Hands-on: Middleware + pprof analysis
2. Observability & Resilience in Go
- OpenTelemetry (tracing, metrics)
- Rate-limiting, retries, circuit breakers
- Hands-on: Tracing + rate limiting
3. Go Meets AI – Model Integration & APIs
- Serving models via gRPC/REST
- Calling AI APIs (OpenAI, Hugging Face, etc.)
- Hands-on: Go service with LLM/image API + caching
Session 2: AI-Enhanced Services & System Design
1. Building Intelligent Microservices in Go
- AI features: recommendation, summarization
- Go ↔ Python orchestration
- Hands-on: ML-enhanced service logic
2. Real-World Use Cases & Design Patterns
- Design scalable AI-enabled systems
- Monitor AI-based systems: latency, fallback, explainability
- Hands-on: Blueprint of AI-enhanced Go backend