Flowise AI Mastery: A Developer’s Blueprint for Building, Scaling, and Securing Next-Generation AI Systems: A Developer’s Guide to Building, Scaling, and Securing Intelligent Applications with Flowise
Language: English
Published by Independently published, 2025
- Softcover
- New

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- Title
- Flowise AI Mastery: A Developer’s Blueprint for Building, Scaling, and Securing Next-Generation AI Systems: A Developer’s Guide to Building, Scaling, and Securing Intelligent Applications with Flowise
- Author
- K. Reed, Orion
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798269429601
Dive into the transformative world of AI development with Flowise AI Mastery: A Developer’s Blueprint for Building, Scaling, and Securing Next-Generation AI Systems.
This comprehensive guide unlocks the full potential of Flowise AI, the cutting-edge no-code/low-code platform revolutionizing intelligent application development. Perfect for developers, data scientists, automation engineers, technical leaders, and AI enthusiasts, this book provides a hands-on approach to mastering Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic workflows.
Through 13 expertly crafted chapters, learn to design visual AI workflows, leverage LLMs like GPT and Claude, build RAG pipelines with vector databases, create advanced chatbots, integrate APIs, automate enterprise processes, and deploy secure, scalable AI systems.
Packed with real-world projects—including e-commerce chatbots, financial analysts, and document Q&A systems—this book offers practical blueprints, prompt engineering techniques, and deployment strategies using Docker, Kubernetes, CI/CD, and OAuth for GDPR/SOC-2 compliance. Whether you're prototyping or scaling enterprise-grade solutions, this is your definitive playbook for building AI-driven innovation.
This comprehensive guide unlocks the full potential of Flowise AI, the cutting-edge no-code/low-code platform revolutionizing intelligent application development. Perfect for developers, data scientists, automation engineers, technical leaders, and AI enthusiasts, this book provides a hands-on approach to mastering Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic workflows.
Through 13 expertly crafted chapters, learn to design visual AI workflows, leverage LLMs like GPT and Claude, build RAG pipelines with vector databases, create advanced chatbots, integrate APIs, automate enterprise processes, and deploy secure, scalable AI systems.
Packed with real-world projects—including e-commerce chatbots, financial analysts, and document Q&A systems—this book offers practical blueprints, prompt engineering techniques, and deployment strategies using Docker, Kubernetes, CI/CD, and OAuth for GDPR/SOC-2 compliance. Whether you're prototyping or scaling enterprise-grade solutions, this is your definitive playbook for building AI-driven innovation.
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