Overview

The AI revolution is no longer about training models; it is about deploying them at scale. While Python dominates the research lab, it often crumbles under the demands of high-concurrency production environments. The era of ""scripting"" AI is over; the era of engineering AI has begun. Go Powered AI is your definitive blueprint for bridging the gap between traditional backend development and the cutting edge of Large Language Models. This book proves that Go (Golang) is not merely an alternative for AI-it is the superior choice for building scalable, concurrent, and robust intelligent systems. This isn't a theoretical overview. It is a hands-on, code-heavy guide that transforms you from a backend developer into a high-demand AI Engineer. You will: Master the Ecosystem: Deep dive into LangChainGo and the Google GenAI SDK to orchestrate complex LLM workflows without touching a line of Python. Engineer Memory: Build high-performance Retrieval-Augmented Generation (RAG) pipelines, integrating vector databases like Weaviate, Milvus, and pgvector to give your AI access to private, real-time data. Build Autonomous Agents: Move beyond simple chatbots by creating agents that can reason, plan, and execute function calls to interact with the real world safely. Scale with Confidence: Stop running on localhost. Learn to containerize your AI services with Docker and deploy self-healing, auto-scaling architectures on Kubernetes. Secure by Design: Implement Zero Trust architectures, generate SBOMs, and prevent prompt injection attacks to ensure your AI is enterprise-ready. Don't let your skills become obsolete. Stop just consuming API endpoints and start architecting the future of software. Secure your copy today and start building the next generation of intelligent systems with the power of Go.

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