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