செயற்கை நுண்ணறிவு பொறியாளர் தேர்ச்சிஅடிப்படைகளிலிருந்து உற்பத்தி நிலை வரை செயற்கை நுண்ணறிவு (AI) பொறியியலில் தேர்ச்சி பெறுங்கள். இந்த நடைமுறை வழிகாட்டி, 43 கவனமாக கட்டமைக்கப்பட்ட அத்தியாயங்களின் மூலம் உங்களை வேலைக்குத் தயாரான AI பொறியாளராக மாற்றுகிறது - முன்னணி நிறுவனங்களில் நேர்காணல்களுக்கு தயாராவதற்கும், நிஜ-உலக AI அமைப்புகளை உருவாக்குவதற்கும் ஏற்றது.இந்த புத்தகத்தை வேறுபடுத்துவது என்ன:ஒவ்வொரு அத்தியாயத்திலும் உடனடியாக இயக்கக்கூடிய நடைமுறை குறியீடு (code) உள்ளது43 தனிப்பயன் வரைபடங்கள் சிக்கலான கருத்துகளை தெளிவாக காட்சிப்படுத்துகின்றனஉற்பத்தி-மையமாக கொண்டது - கோட்பாடு மட்டுமல்ல, உண்மையான AI அமைப்புகள் எவ்வாறு கட்டமைக்கப்படுகின்றன என்பதை கற்றுக்கொள்ளுங்கள்மூன்று முழுமையான முடிவு-முதல்-முடிவு (end-to-end) திட்டப்பணிகள் உள்ளடக்கப்பட்டுள்ளனகோட்பாட்டாளர் அல்ல, செயல்பாட்டில் உள்ள AI ஆராய்ச்சியாளரால் எழுதப்பட்டதுநீங்கள் எதைக் கற்றுக்கொள்வீர்கள்:அடிப்படைகள் (அத்தியாயங்கள் 1-10) ஸ்ட்ரீமிங் APIs, LangChain அடிப்படைகள், நினைவக மேலாண்மை, ChromaDB வெக்டர் தரவுத்தளங்கள்,
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798905101106
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798905101106
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798905101106
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9798905101106
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 135841493
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