Building agentic AI : workflows, fine-tuning, optimization, and deployment / Sinan Ozdemir
Material type:
TextSeries: Joe Krohn's Pearson AI Signature seriesPublication details: Hoboken : Addison-Wesley, 2026Description: xv, 298 pISBN: - 9780135489680
- 006.3 OZD-B
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| Current library | Call number | Status | Barcode | |
|---|---|---|---|---|
| UMT Main Campus | 006.3 OZD-B (Browse shelf(Opens below)) | Available | 152712 |
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| 006.3 NIL-P Principles of artifical intelliegence | 006.3 OSH-L Learning LangChain : building AI and LLM applications with LangChain and LangGraph / | 006.3 OSI-C Cunning machines : | 006.3 OZD-B Building agentic AI : workflows, fine-tuning, optimization, and deployment / | 006.3 PAD-S Soft computing with MATLAB programming / | 006.3 PAT-I Introduction to artificial intelligence and expert systems / | 006.3 PED-G Granular computing : |
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Transform Your Business with Intelligent AI to Drive Outcomes Building reactive AI applications and chatbots is no longer enough. The competitive advantage belongs to those who can build AI that can respond, reason, plan, and execute. Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment takes you beyond basic chatbots to create fully functional, autonomous agents that automate real workflows, enhance human decision-making, and drive measurable business outcomes across high-impact domains like customer support, finance, and research. Whether you're a developer deploying your first model, a data scientist exploring multi-agent systems and distilled LLMs, or a product manager integrating AI workflows and embedding models, this practical handbook provides tried and tested blueprints for building production-ready systems.
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