Jegadeesh M (41 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Neuware - Everyone is 'doing AI.' Most are still copy-pasting tutorial code that breaks the moment a real user touches it. AI Engineer Mastery is the bridge - a pragmatic, opinionated, code-heavy field guide that takes you from your first genai.Client() call to deploying production AI systems with monitoring, evaluation, and safety guardrails.Written by Jegadeesh M, an AI Researcher who's shipped real AI features at scale, this book skips the theory and goes straight to what works: the exact tools, patterns, and workflows used by engineers at companies building with LLMs every day.The complete journey, in 43 chapters: Foundations - Streaming APIs, LangChain, memory, vector databases, RAGAgents - ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADKProduction - Fine-tuning with LoRA, advanced RAG (hybrid search, reranking, RAGAS), MLOps with MLflow and LangSmith, cloud deployment on Vertex AI / Bedrock / WatsonX.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Buch. Condition: Neu. Neuware - Everyone is 'doing AI.' Most are still copy-pasting tutorial code that breaks the moment a real user touches it. AI Engineer Mastery is the bridge - a pragmatic, opinionated, code-heavy field guide that takes you from your first genai.Client() call to deploying production AI systems with monitoring, evaluation, and safety guardrails.Written by Jegadeesh M, an AI Researcher who's shipped real AI features at scale, this book skips the theory and goes straight to what works: the exact tools, patterns, and workflows used by engineers at companies building with LLMs every day.The complete journey, in 43 chapters: Foundations - Streaming APIs, LangChain, memory, vector databases, RAGAgents - ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADKProduction - Fine-tuning with LoRA, advanced RAG (hybrid search, reranking, RAGAS), MLOps with MLflow and LangSmith, cloud deployment on Vertex AI / Bedrock / WatsonX.…

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Buch. Condition: Neu. Neuware - Master AI engineering from fundamentals to production. This hands-on guide transforms you into a job-ready AI engineer across 43 carefully structured chapters - perfect for interviews at top companies and building real-world AI systems.WHAT MAKES THIS BOOK DIFFERENT: - Every chapter includes working code you can run immediately- 43 custom diagrams visualize complex concepts clearly- Production-focused - learn how real AI systems are built, not just theory- Three complete end-to-end projects included- Written by a practicing AI Researcher, not just a theoristWHAT YOU WILL LEARN: FOUNDATIONS (Chapters 1-10)Streaming APIs, LangChain basics, Memory management, Vector databases with ChromaDB, Retrieval-Augmented Generation (RAG), AI Agents with ReAct pattern, Model Context Protocol (MCP), PyTorch fundamentals, Prompt Engineering, and the Hugging Face ecosystem.ADVANCED FRAMEWORKS (Chapters 11-20)CrewAI for multi-agent teams, AutoGen, Microsoft Copilot Studio, LangGraph for advanced workflows, LlamaIndex, Google Vertex AI, Google ADK, Fine-Tuning with LoRA, Advanced RAG (hybrid search, reranking, RAGAS), and MLOps with MLflow and LangSmith.PRODUCTION AND ENTERPRISE Cloud AI platforms (Azure OpenAI, AWS Bedrock, IBM WatsonX), Multimodal AI, Deep Learning with Transformers, NLP techniques, Advanced AI Agents with Memory and Human-in-the-Loop, Data Engineering, Responsible AI, Emerging Research (GraphRAG, Long Context, Mixture of Experts), Computer Vision, and Function Calling. …

Taschenbuch. Condition: Neu. Neuware - Master AI engineering from fundamentals to production. This hands-on guide transforms you into a job-ready AI engineer across 43 carefully structured chapters - perfect for interviews at top companies and building real-world AI systems.WHAT MAKES THIS BOOK DIFFERENT: - Every chapter includes working code you can run immediately- 43 custom diagrams visualize complex concepts clearly- Production-focused - learn how real AI systems are built, not just theory- Three complete end-to-end projects included- Written by a practicing AI Researcher, not just a theoristWHAT YOU WILL LEARN: FOUNDATIONS (Chapters 1-10)Streaming APIs, LangChain basics, Memory management, Vector databases with ChromaDB, Retrieval-Augmented Generation (RAG), AI Agents with ReAct pattern, Model Context Protocol (MCP), PyTorch fundamentals, Prompt Engineering, and the Hugging Face ecosystem.ADVANCED FRAMEWORKS (Chapters 11-20)CrewAI for multi-agent teams, AutoGen, Microsoft Copilot Studio, LangGraph for advanced workflows, LlamaIndex, Google Vertex AI, Google ADK, Fine-Tuning with LoRA, Advanced RAG (hybrid search, reranking, RAGAS), and MLOps with MLflow and LangSmith.PRODUCTION AND ENTERPRISE Cloud AI platforms (Azure OpenAI, AWS Bedrock, IBM WatsonX), Multimodal AI, Deep Learning with Transformers, NLP techniques, Advanced AI Agents with Memory and Human-in-the-Loop, Data Engineering, Responsible AI, Emerging Research (GraphRAG, Long Context, Mixture of Experts), Computer Vision, and Function Calling.…

Buch. Condition: Neu. Neuware - Master AI engineering from fundamentals to production. This hands-on guide transforms you into a job-ready AI engineer across 43 carefully structured chapters - perfect for interviews at top companies and building real-world AI systems.WHAT MAKES THIS BOOK DIFFERENT: - Every chapter includes working code you can run immediately- 43 custom diagrams visualize complex concepts clearly- Production-focused - learn how real AI systems are built, not just theory- Three complete end-to-end projects included- Written by a practicing AI Researcher, not just a theoristWHAT YOU WILL LEARN: FOUNDATIONS (Chapters 1-10)Streaming APIs, LangChain basics, Memory management, Vector databases with ChromaDB, Retrieval-Augmented Generation (RAG), AI Agents with ReAct pattern, Model Context Protocol (MCP), PyTorch fundamentals, Prompt Engineering, and the Hugging Face ecosystem.ADVANCED FRAMEWORKS (Chapters 11-20)CrewAI for multi-agent teams, AutoGen, Microsoft Copilot Studio, LangGraph for advanced workflows, LlamaIndex, Google Vertex AI, Google ADK, Fine-Tuning with LoRA, Advanced RAG (hybrid search, reranking, RAGAS), and MLOps with MLflow and LangSmith.PRODUCTION AND ENTERPRISE Cloud AI platforms (Azure OpenAI, AWS Bedrock, IBM WatsonX), Multimodal AI, Deep Learning with Transformers, NLP techniques, Advanced AI Agents with Memory and Human-in-the-Loop, Data Engineering, Responsible AI, Emerging Research (GraphRAG, Long Context, Mixture of Experts), Computer Vision, and Function Calling. …

Paperback. Condition: new. Paperback. Everyone is "doing AI." Most are still copy-pasting tutorial code that breaks the moment a real user touches it. AI Engineer Mastery is the bridge - a pragmatic, opinionated, code-heavy field guide that takes you from your first genai.Client() call to deploying production AI systems with monitoring, evaluation, and safety guardrails.Written by Jegadeesh M, an AI Researcher who's shipped real AI features at scale, this book skips the theory and goes straight to what works: the exact tools, patterns, and workflows used by engineers at companies building with LLMs every day.The complete journey, in 43 chapters: Foundations - Streaming APIs, LangChain, memory, vector databases, RAGAgents - ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADKProduction - Fine-tuning with LoRA, advanced RAG (hybrid search, reranking, RAGAS), MLOps with MLflow and LangSmith, cloud deployment on Vertex AI / Bedrock / WatsonX. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Everyone is "doing AI." Most are still copy-pasting tutorial code that breaks the moment a real user touches it. AI Engineer Mastery is the bridge - a pragmatic, opinionated, code-heavy field guide that takes you from your first genai.Client() call to deploying production AI systems with monitoring, evaluation, and safety guardrails.Written by Jegadeesh M, an AI Researcher who's shipped real AI features at scale, this book skips the theory and goes straight to what works: the exact tools, patterns, and workflows used by engineers at companies building with LLMs every day.The complete journey, in 43 chapters: Foundations - Streaming APIs, LangChain, memory, vector databases, RAGAgents - ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADKProduction - Fine-tuning with LoRA, advanced RAG (hybrid search, reranking, RAGAS), MLOps with MLflow and LangSmith, cloud deployment on Vertex AI / Bedrock / WatsonX. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Master AI engineering from fundamentals to production. This hands-on guide transforms you into a job-ready AI engineer across 43 carefully structured chapters - perfect for interviews at top companies and building real-world AI systems.WHAT MAKES THIS BOOK DIFFERENT: - Every chapter includes working code you can run immediately- 43 custom diagrams visualize complex concepts clearly- Production-focused - learn how real AI systems are built, not just theory- Three complete end-to-end projects included- Written by a practicing AI Researcher, not just a theoristWHAT YOU WILL LEARN: FOUNDATIONS (Chapters 1-10)Streaming APIs, LangChain basics, Memory management, Vector databases with ChromaDB, Retrieval-Augmented Generation (RAG), AI Agents with ReAct pattern, Model Context Protocol (MCP), PyTorch fundamentals, Prompt Engineering, and the Hugging Face ecosystem.ADVANCED FRAMEWORKS (Chapters 11-20)CrewAI for multi-agent teams, AutoGen, Microsoft Copilot Studio, LangGraph for advanced workflows, LlamaIndex, Google Vertex AI, Google ADK, Fine-Tuning with LoRA, Advanced RAG (hybrid search, reranking, RAGAS), and MLOps with MLflow and LangSmith.PRODUCTION AND ENTERPRISE Cloud AI platforms (Azure OpenAI, AWS Bedrock, IBM WatsonX), Multimodal AI, Deep Learning with Transformers, NLP techniques, Advanced AI Agents with Memory and Human-in-the-Loop, Data Engineering, Responsible AI, Emerging Research (GraphRAG, Long Context, Mixture of Experts), Computer Vision, and Function Calling. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Everyone is "doing AI." Most are still copy-pasting tutorial code that breaks the moment a real user touches it. AI Engineer Mastery is the bridge - a pragmatic, opinionated, code-heavy field guide that takes you from your first genai.Client() call to deploying production AI systems with monitoring, evaluation, and safety guardrails.Written by Jegadeesh M, an AI Researcher who's shipped real AI features at scale, this book skips the theory and goes straight to what works: the exact tools, patterns, and workflows used by engineers at companies building with LLMs every day.The complete journey, in 43 chapters: Foundations - Streaming APIs, LangChain, memory, vector databases, RAGAgents - ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADKProduction - Fine-tuning with LoRA, advanced RAG (hybrid search, reranking, RAGAS), MLOps with MLflow and LangSmith, cloud deployment on Vertex AI / Bedrock / WatsonX. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Everyone is "doing AI." Most are still copy-pasting tutorial code that breaks the moment a real user touches it. AI Engineer Mastery is the bridge - a pragmatic, opinionated, code-heavy field guide that takes you from your first genai.Client() call to deploying production AI systems with monitoring, evaluation, and safety guardrails.Written by Jegadeesh M, an AI Researcher who's shipped real AI features at scale, this book skips the theory and goes straight to what works: the exact tools, patterns, and workflows used by engineers at companies building with LLMs every day.The complete journey, in 43 chapters: Foundations - Streaming APIs, LangChain, memory, vector databases, RAGAgents - ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADKProduction - Fine-tuning with LoRA, advanced RAG (hybrid search, reranking, RAGAS), MLOps with MLflow and LangSmith, cloud deployment on Vertex AI / Bedrock / WatsonX. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Everyone is "doing AI." Most are still copy-pasting tutorial code that breaks the moment a real user touches it. AI Engineer Mastery is the bridge - a pragmatic, opinionated, code-heavy field guide that takes you from your first genai.Client() call to deploying production AI systems with monitoring, evaluation, and safety guardrails.Written by Jegadeesh M, an AI Researcher who's shipped real AI features at scale, this book skips the theory and goes straight to what works: the exact tools, patterns, and workflows used by engineers at companies building with LLMs every day.The complete journey, in 43 chapters: Foundations - Streaming APIs, LangChain, memory, vector databases, RAGAgents - ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADKProduction - Fine-tuning with LoRA, advanced RAG (hybrid search, reranking, RAGAS), MLOps with MLflow and LangSmith, cloud deployment on Vertex AI / Bedrock / WatsonX. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Everyone is "doing AI." Most are still copy-pasting tutorial code that breaks the moment a real user touches it. AI Engineer Mastery is the bridge - a pragmatic, opinionated, code-heavy field guide that takes you from your first genai.Client() call to deploying production AI systems with monitoring, evaluation, and safety guardrails.Written by Jegadeesh M, an AI Researcher who's shipped real AI features at scale, this book skips the theory and goes straight to what works: the exact tools, patterns, and workflows used by engineers at companies building with LLMs every day.The complete journey, in 43 chapters: Foundations - Streaming APIs, LangChain, memory, vector databases, RAGAgents - ReAct, MCP, CrewAI, AutoGen, LangGraph, Google ADKProduction - Fine-tuning with LoRA, advanced RAG (hybrid search, reranking, RAGAS), MLOps with MLflow and LangSmith, cloud deployment on Vertex AI / Bedrock / WatsonX. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Master AI engineering from fundamentals to production. This hands-on guide transforms you into a job-ready AI engineer across 43 carefully structured chapters - perfect for interviews at top companies and building real-world AI systems.WHAT MAKES THIS BOOK DIFFERENT: - Every chapter includes working code you can run immediately- 43 custom diagrams visualize complex concepts clearly- Production-focused - learn how real AI systems are built, not just theory- Three complete end-to-end projects included- Written by a practicing AI Researcher, not just a theoristWHAT YOU WILL LEARN: FOUNDATIONS (Chapters 1-10)Streaming APIs, LangChain basics, Memory management, Vector databases with ChromaDB, Retrieval-Augmented Generation (RAG), AI Agents with ReAct pattern, Model Context Protocol (MCP), PyTorch fundamentals, Prompt Engineering, and the Hugging Face ecosystem.ADVANCED FRAMEWORKS (Chapters 11-20)CrewAI for multi-agent teams, AutoGen, Microsoft Copilot Studio, LangGraph for advanced workflows, LlamaIndex, Google Vertex AI, Google ADK, Fine-Tuning with LoRA, Advanced RAG (hybrid search, reranking, RAGAS), and MLOps with MLflow and LangSmith.PRODUCTION AND ENTERPRISE Cloud AI platforms (Azure OpenAI, AWS Bedrock, IBM WatsonX), Multimodal AI, Deep Learning with Transformers, NLP techniques, Advanced AI Agents with Memory and Human-in-the-Loop, Data Engineering, Responsible AI, Emerging Research (GraphRAG, Long Context, Mixture of Experts), Computer Vision, and Function Calling. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…