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{ "item_title" : "Agentic AI Engineering with Generative AI", "item_author" : [" Proclus Zhirov "], "item_description" : "This comprehensive guide provides a structured approach to engineering agentic AI systems powered by generative AI, covering design, development, and deployment. Key chapters include: Core Concepts and Technologies: Explore frameworks like LangChain and LlamaIndex, hardware requirements, and integration with external tools.Defining Purpose and Scope: Align agents with clear objectives, success metrics, and environmental constraintsChoosing the Right Model: Balance fine-tuning and prompt engineering, manage token limits, and address cost considerationsDevelopment Environment: Set up testing, debugging, and frameworks like Hugging Face TransformersPrompt Engineering: Craft effective prompts, mitigate ambiguity, and refine iteratively for task automationAgentic Workflows: Integrate generative AI with APIs, manage state, and optimize workflowsAutonomy with RL: Enhance agents with reinforcement learning for adaptive decision-makingMulti-Agent Systems: Design collaborative agents with specialized roles and robust communication protocols.Testing and Safety: Evaluate outputs, ensure robustness, and implement ethical guardrailsDeployment and Scaling: Deploy on cloud, on-premise, or edge, with monitoring and maintenance strategiesEnhanced Capabilities: Incorporate multimodal inputs, real-time adaptation, and IoT integration for advanced applications like smart home control.Ethical Design: Mitigate bias, ensure transparency, and comply with regulations like GDPR and HIPAA.By combining LLMs, Stable Diffusion, and next-gen tools, this guide equips developers to build scalable, ethical, and autonomous agents that push the boundaries of AI-driven productivity and creativity.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/826/677/9798266779266_b.jpg", "price_data" : { "retail_price" : "22.99", "online_price" : "22.99", "our_price" : "22.99", "club_price" : "22.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Agentic AI Engineering with Generative AI|Proclus Zhirov

Agentic AI Engineering with Generative AI : Designing, Building, and Scaling Goal-Driven, LLM-Powered Systems

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Overview

This comprehensive guide provides a structured approach to engineering agentic AI systems powered by generative AI, covering design, development, and deployment. Key chapters include:

  • Core Concepts and Technologies: Explore frameworks like LangChain and LlamaIndex, hardware requirements, and integration with external tools.

  • Defining Purpose and Scope: Align agents with clear objectives, success metrics, and environmental constraints

  • Choosing the Right Model: Balance fine-tuning and prompt engineering, manage token limits, and address cost considerations

  • Development Environment: Set up testing, debugging, and frameworks like Hugging Face Transformers

  • Prompt Engineering: Craft effective prompts, mitigate ambiguity, and refine iteratively for task automation

  • Agentic Workflows: Integrate generative AI with APIs, manage state, and optimize workflows

  • Autonomy with RL: Enhance agents with reinforcement learning for adaptive decision-making

  • Multi-Agent Systems: Design collaborative agents with specialized roles and robust communication protocols.

  • Testing and Safety: Evaluate outputs, ensure robustness, and implement ethical guardrails

  • Deployment and Scaling: Deploy on cloud, on-premise, or edge, with monitoring and maintenance strategies

  • Enhanced Capabilities: Incorporate multimodal inputs, real-time adaptation, and IoT integration for advanced applications like smart home control.

  • Ethical Design: Mitigate bias, ensure transparency, and comply with regulations like GDPR and HIPAA.

By combining LLMs, Stable Diffusion, and next-gen tools, this guide equips developers to build scalable, ethical, and autonomous agents that push the boundaries of AI-driven productivity and creativity.

This item is Non-Returnable

Details

  • ISBN-13: 9798266779266
  • ISBN-10: 9798266779266
  • Publisher: Independently Published
  • Publish Date: September 2025
  • Dimensions: 11 x 8.5 x 0.28 inches
  • Shipping Weight: 0.7 pounds
  • Page Count: 130

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