The AI Agent Revolution Is Here — Are You Ready to Build What Comes Next?Are you tired of building LLM demos that never make it to production?Struggling to connect APIs, prompts, memory, and workflows into real-world agent applications that actually work — at scale?The world is shifting from passive language models to active AI agents.But most developers are stuck: either overwhelmed by fragmented tools, or unsure how to turn ideas into deploy...

From Prototype to Production: Build Real-World AI Systems That Scale, Perform, and Deliver ValueAre you stuck building ML models that never reach production—while others are launching real AI systems that solve business problems at scale?Do you feel overwhelmed by disconnected tutorials, fragmented tools, and the lack of a clear engineering blueprint for AI that works in the real world?You're not alone. Most engineers can train a model. Very few can design,...

Machine learning isn’t just about training models. It’s about engineering entire systems that scale, adapt, and survive in the real world.If you’re a machine learning engineer, system architect, data scientist, or tech lead building production-grade ML products, you already know: the hardest part of ML isn’t building a model. It’s everything that comes after.The Machine Learning System Design Bible is your end-to-end survival guide for arch...

2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesLearn how to leverage LangChain to work around LLMs’ inherent weaknessesDelve into LLMs with LangChain and explore their fundamentals, ethical dimensions...

This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perce...

Update Your Architectural Practices for New Challenges, Environments, and Stakeholder Expectations"I am continuously delighted and inspired by the work of these authors. Their first book laid the groundwork for understanding how to evolve the architecture of a software-intensive system, and this latest one builds on it in some wonderfully actionable ways."--Grady Booch, Chief Scientist for Software Engineering, IBM Research

Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practices Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesBuild robust single and multi-agent GenAI systems for enterprise useUnderstand the GenAI and Agentic AI maturity model and enterprise adoption roadmapUse prompt engineering and...

Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowle...

Observability is the only way to engineer, manage, and improve the business-critical systems that customers depend on every day—and as the complexity of software grows, so does the need for observability. With this thoroughly revised second edition, authors Charity Majors, Liz Fong-Jones, and George Miranda take inventory of the current state of the field and explain how practitioners can evolve their observability practices from collecting separate, disparate signals to unified data workf...

"Dataiku Platform Foundations"Dataiku Platform Foundations offers a comprehensive guide to mastering the architectural, operational, and analytical core of the Dataiku Data Science Studio (DSS). Beginning with a detailed exploration of Dataiku’s modular architecture—including its processing engines, storage management, and system integration capabilities—this book equips readers with the foundational knowledge required to build scalable, resilient, and extensible data pipelines. Re...

Unleash the transformative potential of GenAI with this comprehensive guide that serves as an indispensable roadmap for integrating large language models into real-world applications. Gain invaluable insights into identifying compelling use cases, leveraging state-of-the-art models effectively, deploying these models into your applications at scale, and navigating ethical considerations.Key FeaturesGet familiar with the most important tools and concepts used in ...

Your Complete Roadmap to AWS AI Practitioner Success—Simplified, Practical, and Designed to Help You Pass with Confidence.Key Features● Gain in-depth knowledge of AWS AI services, Generative AI, and ethical considerations for business and technical use cases.● Master essential AWS AI/ML tools to stay ahead in the evolving landscape of cloud-based artificial intelligence solutions.● Prepare confidently with real-world examples, clear explanations, and targeted exam questions for the AWS AI ...