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

by Proclus Zhirov
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Current price ₹1,930.00
Original price ₹2,152.00
Original price ₹2,152.00
Original price ₹2,152.00
(-10%)
₹1,930.00
Current price ₹1,930.00

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Book cover type: Paperback
  • ISBN13: 9798266779266
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 130
  • Original Price: GBP 17.01
  • Language: English
  • Edition: N/A
  • Item Weight: 318 grams
  • BISAC Subject(s): Human-Computer Interaction (HCI)

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.

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