Mastering Generative AI: From Langchain to Real-World Applications: A Comprehensive Guide to Building, Deploying, and Optimizing AI-Powered Projects - Brossura

Pandey, Sandeep Kumar

Brossura

ISBN 13: 9798300770037

Casa editrice: Independently published, 2024

Riassunto

Stop collecting AI tutorials. Build, ship and govern real generative AI systems.

Most AI books stop at the demo. Mastering Generative AI takes you the whole way: how the models work, how to build with them, how to run them in production, and how to keep them safe, measurable and affordable. Updated for 2026, with working code you can run and extend.

What you will learn

• Machine learning, deep learning and large language models, explained with runnable examples
• Prompt and context engineering, structured outputs and prompt libraries
• Retrieval-augmented generation: chunking, hybrid search, reranking, citations and evaluation
• LangChain 1.x, LangGraph and the Model Context Protocol (MCP) for tools and agents
• Building agents step by step: planning, memory, budgets, human approval and supervisors
• Evaluation labs, red-teaming and security (OWASP LLM Top 10)
• Fine-tuning with LoRA and QLoRA, and serving open models
• Deployment, observability, cost control and the LLMOps lifecycle
• Governance: policy as code, risk tiers, audit trails and the EU AI Act

Eight complete use cases

Text-to-SQL analytics, document and claims processing, IT incident triage, HR and legal assistants, healthcare administration, a developer coding agent and a voice agent. Each one comes with its architecture, full code, guardrails, evaluation and a product-owner checklist.

Plus a full end-to-end case study

Build a governed, observable agentic platform: event ingestion into PostgreSQL, anomaly sentinels, a nudge arbiter, domain agents with MCP tools, PII masking with Presidio, retrieval, guardrails, and tracing with OpenTelemetry, Langfuse and Azure Monitor.

Why this book is different

• Every listing is printed in the book, so you never lose your place
• Core logic is unit-tested, with real outputs shown, including the surprises
• Decision trees, checklists and templates you can use on Monday
• Honest about limits: what was run, what was not, and where to verify

Written for the Production Implementer

Applied AI engineers, developers, data scientists and technical product managers who must ship AI features that work, stay safe and justify their cost. TPM toolkit included: PRD template, success metrics, vendor questions, launch gates and ROI calculators.

Learn it. Build it. Ship it responsibly.

Dettagli dell'edizione

• Editore: Independently published
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 13: 9798300770037
• Rilegatura: Copertina flessibile
• Numero di pagine: 295
• Contatto del produttore: Printed by Amazon on behalf of the author; https://www.amazon.it/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Lussemburgo