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 Chapter 1: Introduction to Claude 4 and Constitutional AI Chapter 2: Leveraging Claude 4's Extended Context Window Chapter 3: Getting Started with Claude 4 API and Python Chapter 4: Building Agentic Workflows with Claude 4 Chapter 5: Integrating Claude 4 with LangChain Chapter 6: Deploying Claude 4 on AWS Bedrock Chapter 7: Prompt Engineering for Optimal Performance Chapter 8: Observability and Monitoring in Claude 4 Systems Chapter 9: Securing Claude 4 Systems Against Adversarial Attacks Chapter 10: Benchmarking and Evaluating Claude 4 Performance Chapter 11: Building Multi-Agent Systems with Claude 4 Chapter 12: CI/CD Pipelines and Canary Deployments Chapter 13: Ethical Governance and Regulatory Compliance Chapter 14: Real-World Applications and Mini-Projects Chapter 15: Future-Proofing Claude 4 Systems
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