Practical AI Engineering: A Hands-on Guide to Building Scalable AI with Python, LLMs, RAG, TensorFlow, PyTorch and Kubernetes - From Scratch to Mastery
Practical AI Engineering: A Hands-on Guide to Building Scalable AI with Python, LLMs, RAG, TensorFlow, PyTorch and Kubernetes - From Scratch to Mastery
Build, Deploy, and Scale Real-World AI Systems-From Foundation Models to Full-Stack Production Pipelines Are you ready to move beyond tutorials and toy models into the real world of scalable, production-ready AI? Practical AI Engineering is your complete, no-fluff, hands-on guide to building modern AI applications from scratch to mastery. Whether you're aiming to become a full-stack AI engineer, deploy cutting-edge LLMs (Large Language Models), or bring real-time Retrieval-Augmented Generation (RAG) systems into ...
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Build, Deploy, and Scale Real-World AI Systems-From Foundation Models to Full-Stack Production Pipelines Are you ready to move beyond tutorials and toy models into the real world of scalable, production-ready AI? Practical AI Engineering is your complete, no-fluff, hands-on guide to building modern AI applications from scratch to mastery. Whether you're aiming to become a full-stack AI engineer, deploy cutting-edge LLMs (Large Language Models), or bring real-time Retrieval-Augmented Generation (RAG) systems into production, this book takes you there-step by step. Written for engineers, ML practitioners, and developers who want more than just theoretical knowledge, this book equips you with battle-tested workflows, system design patterns, and toolchains used by top AI teams. What You'll Master Inside This Book: AI Engineering from the Ground Up - Learn what AI engineering really means: beyond models, into systems - Master the end-to-end AI lifecycle (Design Deploy Maintain) - Think like a systems engineer for real-world impact The Full Toolkit for Modern AI Engineers - Python patterns, TensorFlow vs. PyTorch, FastAPI, HuggingFace, LangChain - Data pipelines, Docker, Kubernetes, and GitOps workflows - Experiment tracking, versioning, and CI/CD automation LLMs, Transformers, and Prompt Engineering in Practice - Understand how GPT models work and scale - Use OpenAI APIs and HuggingFace models efficiently - Apply few-shot, chain-of-thought, and retrieval-augmented strategies - Implement LLMOps for inference, caching, and cost control Retrieval-Augmented Generation (RAG) and GraphRAG - Chunking, embeddings, and vector databases (FAISS, Pinecone, Qdrant) - Build RAG systems with LangChain, FastAPI, and custom memory - Go beyond text: create knowledge-augmented LLMs with Neo4j and GraphRAG - Complete projects: Legal QA bots, research assistants, scalable chatbots Agentic AI and Multi-Tool Orchestration - Build agents that use tools like Web Browsing, SQL, and PDFs - Explore LangChain Agents, OpenAgents, AutoGen frameworks - Monitor hallucinations, plan actions, and design recovery flows - Ensure safety, logging, and performance in agentic systems Production-Ready Deployment with Docker & Kubernetes - Package LLMs and APIs into portable containers - Use docker-compose and Helm charts for orchestration - Deploy scalable clusters with GPU access and autoscaling - Implement health probes, registries, and versioned microservices Observability, Evaluation & Continuous Delivery - Monitor LLM drift, RAG relevance, and real-time model metrics - Run A/B tests, feedback loops, and prompt re-ranking - Automate your ML pipelines using GitHub Actions + MLflow - Set up failover, alerts, and canary deployments Ethical and Global AI Deployment - Handle bias, safety, privacy, and data sovereignty - Harden APIs against adversarial prompts and jailbreaking - Deploy inclusive systems across global and non-Western contexts Among others.. BONUS : Companion Project Repositories + Cheat Sheets Real projects: RAG chatbots, GraphRAG assistants, LLM agents If you're looking for a deeply practical, industry-relevant, and project-driven book to help you master modern AI engineering-this is it. Perfect for: - AI/ML engineers and full-stack developers - Backend engineers diving into LLMs and RAG - Technical founders building AI-powered products Join the future of AI development - become a practical AI Engineer.
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Add this copy of Practical Ai Engineering to cart. £18.95, new condition, Sold by Books2anywhere rated 5.0 out of 5 stars, ships from Fairford, GLOUCESTERSHIRE, UNITED KINGDOM, published 2025 by Independently Published.
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Add this copy of Practical AI Engineering: A Hands-on Guide to Building to cart. £21.22, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
