Engineer Tamil by Jegadeesh (27 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.

PAP. 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.

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. 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.…

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.…

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. 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 our UK warehouse or from our Australian or US warehouses, 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. AI ENGINEER TAMIL | ¿¿ ¿¿¿¿¿¿¿¿¿ | Jegadeesh M | Taschenbuch | Tamil | 2026 | Notion Press | EAN 9798905101106 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

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 our UK warehouse or from our Australian or US warehouses, 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 our UK warehouse or from our Australian or US warehouses, 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 our UK warehouse or from our Australian or US warehouses, 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 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 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…