The Developer's Guide to AI

Összefoglaló

Build intelligent applications—no data science degree required.<BR><BR>Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place.<BR><BR>The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases.<BR><BR>By the end of this book, you’ll know how to:<BR>- Call LLM APIs and stream intelligent responses directly to your UI.- Engineer prompts that produce reliable, production-ready results.- Build RAG pipelines using vector databases to give AI access to your private data.- Fine-tune models with LoRA for specialized tasks like classification.- Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.<BR>LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software.<BR><BR>Grab your code editor, bring your engineering instincts, and let’s build what’s next!