Mastering Generative AI: From Langchain to Real-World Applications: A Comprehensive Guide to Building, Deploying, and Optimizing AI-Powered Projects (Artificial Intelligence & Machine Learning) - Tapa blanda

Sinopsis

AI is transforming every industry. Most guides leave you stuck in theory — not results.

The Generative AI Playbook is the hands-on, end-to-end guide that takes you from the fundamentals of Machine Learning all the way to deploying, monitoring, and leading production AI systems — with real code, real projects, and real-world frameworks you can apply immediately.

Written by a technology leader with 18+ years of experience in cloud architecture and AI, this book bridges technical depth with strategic leadership. Whether you are a developer, data scientist, or business executive, every chapter delivers practical value from page one.

What You Will Build

• AI Content Generator — with automated quality evaluation using ROUGE and BERTScore
• Conversational Chatbot — with persistent memory, RAG pipeline, and a Gradio interface
• Real-Time Sentiment Analyzer — with production monitoring and model drift detection
• Multimodal Document Intelligence System — PDF and image analysis powered by GPT-4o vision

What You Will Master

• Machine Learning and Deep Learning — fundamentals with working, runnable code examples
• Large Language Models — how they work, how to use them, and how to evaluate them
• Prompt Engineering — zero-shot, few-shot, chain-of-thought, ReAct, and JSON mode
• RAG and Vector Databases — chunking strategies, hybrid search, and RAGAS evaluation
• Fine-Tuning and RLHF — SFT, LoRA, QLoRA, and DPO with complete end-to-end pipelines
• Deployment — Docker, Kubernetes, FastAPI, CI/CD, and production cost monitoring
• MLOps — MLflow, Weights and Biases, Kubeflow, and model governance frameworks
• AI Safety and Responsible AI — hallucination mitigation, red-teaming, and EU AI Act compliance
• Agentic AI — ReAct pattern, function calling, CrewAI, and AutoGen multi-agent systems
• AI Leadership — ROI frameworks, AI maturity models, governance structures, and industry roadmaps

Who This Book Is For

• Students and beginners who want a clear, structured foundation in AI and Machine Learning
• Developers and ML engineers who want to build and ship LLM-powered applications
• Data scientists looking to move from notebooks to production-ready AI systems
• Business leaders and executives who need AI strategy, ROI frameworks, and governance tools
• Compliance and governance professionals managing responsible AI deployment

All code is written for current APIs — including the latest OpenAI Chat Completions interface, LangChain Expression Language (LCEL), and Hugging Face ecosystem. No deprecated examples. No outdated patterns.

From your first line of Python to a fully monitored, production-deployed AI system — this is the complete playbook for the AI era.

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