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AI Integration in Web Applications
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This book explains AI integration in web apps in simple language and includes code examples in every chapter.
Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0
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01Chapter 1: Introduction to AI in Web Applications02Chapter 2: Core AI Concepts for Developers03Chapter 3: Web Architecture Meets AI04Chapter 4: AI APIs and Platforms05Chapter 5: Working with Pre-Trained Models06Chapter 6: AI Libraries and Frameworks07Chapter 7: Integrating AI into Backend Systems08Chapter 8: Building AI Microservices09Chapter 9: Data Pipelines for AI10Chapter 10: AI in Frontend Applications11Chapter 11: Chatbots and Conversational UI12Chapter 12: AI-Powered UI Components13Chapter 13: Recommendation Systems14Chapter 14: Natural Language Processing in Web Apps15Chapter 15: Computer Vision in Web Applications16Chapter 16: Scaling AI Systems17Chapter 17: Performance Optimization18Chapter 18: AI Security in Web Applications19Chapter 19: Ethical AI Development20Chapter 20: Legal and Compliance Considerations21Chapter 21: Deploying AI Applications22Chapter 22: MLOps for Web Developers23Chapter 23: AI in E-commerce24Chapter 24: AI in Education Platforms25Chapter 25: AI in Healthcare Web Apps26Chapter 26: Generative AI in Web Applications27Chapter 27: Edge AI and WebAssembly28Chapter 28: The Future of AI-Driven Web Development29Appendix A: Tools and Resources30Appendix B: Sample Projects31Appendix E: Deeper Practice and Extra Examples
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