• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mastering Claude 4 for Advanced AI Development: Building Ethical, Scalable, and Robust Systems with LangChain and AWS Bedrock: A Comprehensive Guide t

Mastering Claude 4 for Advanced AI Development: Building Ethical, Scalable, and Robust Systems with LangChain and AWS Bedrock: A Comprehensive Guide t

Paperback

General Computers

Currently unavailable to order

ISBN13: 9798273644151
Publisher: Independently Published
Published: Nov 8 2025
Pages: 154
Weight: 0.61
Height: 0.33 Width: 7.00 Depth: 10.00
Language: English
Mastering Claude 4 for Advanced AI Development by Isla Vireo is the ultimate resource for developers, machine learning engineers, applied researchers, and data scientists seeking to harness Anthropic's Claude 4 for cutting-edge AI solutions.

This authoritative guide dives deep into Claude 4's constitutional AI framework, 100K+ token context window, and seamless integrations with LangChain and AWS Bedrock, empowering readers to build ethical, scalable, and production-ready AI systems.

Packed with rigorous theory, production-grade Python code, and real-world case studies, this book equips you with the tools to master complex agentic workflows, ensure system reliability through observability, and navigate ethical and regulatory challenges in high-stakes domains like finance, healthcare, and enterprise automation. From prompt engineering and multi-agent pipelines to adversarial testing, CI/CD deployments, and governance frameworks, this book bridges theory and practice to future-proof your AI expertise.

Key Features:

  • Master Claude 4's constitutional AI and extended-context capabilities for advanced reasoning and scalability.
  • Build robust AI pipelines using Python, LangChain, and AWS Bedrock, with hands-on code examples.
  • Implement observability, SRE practices, and security measures to ensure reliability and robustness.
  • Optimize performance through benchmarking, hallucination detection, and cost analysis.
  • Deploy scalable systems with CI/CD pipelines, canary deployments, and ethical governance artifacts.
  • Navigate GDPR, HIPAA, and responsible AI principles for compliant deployments.
  • Apply real-world solutions with mini-projects in chatbots, financial analysis, and enterprise automation.
Whether you're an experienced developer or a seasoned AI professional, this book provides the expertise to design, deploy, and govern Claude 4 systems with confidence, ensuring performance, security, and ethical alignment in a rapidly evolving AI landscape.

Chapter Structure

Also in

General Computers