Unlock the full potential of Large Language Models (LLMs) by building and deploying your own intelligent chatbot from scratch-using cutting-edge tools like Hugging Face Transformers, RunPod GPU cloud, FastAPI, and React Native. Whether you're an AI enthusiast, Python developer, or mobile app creator, this book takes you on a complete hands-on journey-from prototype to production.
Why This Book Stands OutIn a world where AI chat interfaces are transforming how users interact with software, this book gives you a practical, project-based blueprint to master conversational AI development. Unlike high-level overviews or overly theoretical guides, you'll build a real-world, production-ready chatbot that integrates LLMs, serverless backends, and mobile frontends using industry-standard tools.
Written by Wilfrid Alfred, a recognized expert in machine learning and full-stack development, this guide draws from real engineering practices and up-to-date frameworks to ensure your skills are both market-relevant and future-proof.
What You'll LearnHow to fine-tune, host, and consume Hugging Face models for chat tasks
Build an intelligent chatbot backend using FastAPI and RunPod
Implement streaming responses using SSE for smoother UX
Integrate a beautiful mobile frontend with React Native and Expo Router
Securely manage API tokens, .env files, and background processing
Add offline support, local chat history, and optimize for low-latency environments
Deploy continuously using GitHub Actions and EAS OTA updates
Optimize for cost, performance, and scalability in production
Wilfrid Alfred is a seasoned AI engineer, full-stack developer, and author of multiple top-rated software engineering books. Known for his clarity, depth, and practical approach, Wilfrid bridges the gap between academic ML theory and production-level engineering. His books empower developers to apply bleeding-edge technologies-today, not in five years.
Python developers curious about AI applications
Mobile developers wanting to integrate smart LLM interfaces
Engineers looking to deploy chatbots to real users
Freelancers and indie makers creating AI-driven apps
Learners preparing for practical AI roles or interviews
Start building the future of communication-one LLM-powered message at a time.
Grab your copy and bring your own intelligent chatbot to life!
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