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Agentic AI Programming with Raspberry Pi 5: A Complete Beginner's Guide to Design and Build a Business-Boosting Autonomous Agents That can Think, Plan
Paperback
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ISBN13: 9798267652315
Publisher: Independently Published
Published: Sep 29 2025
Pages: 148
Weight: 0.79
Height: 0.32 Width: 8.50 Depth: 11.00
Language: English
Publisher: Independently Published
Published: Sep 29 2025
Pages: 148
Weight: 0.79
Height: 0.32 Width: 8.50 Depth: 11.00
Language: English
This beginner-friendly, hands-on guide empowers you to create a fully functional AI agent on the affordable Raspberry Pi 5, delivering a 100% productivity boost and exceptional customer satisfaction in just 10 days. Tailored for small business owners, hobbyists, and tech enthusiasts, this book provides step-by-step instructions, practical exercises, and real-world applications to transform your operations. Over 10 comprehensive days, you'll progress from setting up your Raspberry Pi 5 to deploying a sophisticated agentic AI system. Key features include: - Hardware and Software Setup (Days 1-2): Configure the Raspberry Pi 5, install essential software like Ollama and the Qwen2.5:1.5B LLM, and prepare for AI development.
- Core AI Development (Days 3-4): Plan and build a Python-based AI script with natural language processing, capable of handling business queries like store hours or stock checks.
- Hardware Integration (Day 5): Add GPIO-controlled LEDs, camera-based product scanning, and temperature sensors for physical automation tasks.
- Business-Specific Features (Day 6): Automate routine tasks like email summarization, analyze sales data with CSV processing, and integrate APIs for real-time business insights (e.g., weather for logistics).
- Customer Satisfaction Enhancements (Day 7): Implement multi-turn dialogues, sentiment analysis, personalization, and voice input for empathetic, tailored customer interactions.
- Advanced Enhancements and Security (Day 8): Develop a multi-agent system, create a Flask-based web dashboard, and secure data with best practices.
- Testing and Iteration (Day 9): Conduct comprehensive testing, measure productivity gains, gather feedback, and refine the agent for reliability.
- Deployment and Growth (Day 10): Deploy the agent as a system service, integrate with tools like email or Google Sheets, and plan for scalability with hardware or model upgrades. Each chapter combines theoretical context with practical, beginner-friendly instructions, ensuring you can build, test, and deploy your agent without prior AI experience. Real-world case studies illustrate applications in retail, logistics, and customer service, showing how your agent can save hours of manual work, reduce response times from minutes to seconds, and delight customers with personalized, empathetic interactions. By the end, you'll have a robust, secure, and scalable AI assistant running on the Raspberry Pi 5, capable of automating tasks, engaging customers, and driving business growth. Whether you're optimizing inventory, streamlining customer support, or enhancing operational efficiency, this book equips you to launch a productivity revolution. Start building your agentic AI today and transform your business in just 10 days!
- Hardware Integration (Day 5): Add GPIO-controlled LEDs, camera-based product scanning, and temperature sensors for physical automation tasks.
- Business-Specific Features (Day 6): Automate routine tasks like email summarization, analyze sales data with CSV processing, and integrate APIs for real-time business insights (e.g., weather for logistics).
- Customer Satisfaction Enhancements (Day 7): Implement multi-turn dialogues, sentiment analysis, personalization, and voice input for empathetic, tailored customer interactions.
- Advanced Enhancements and Security (Day 8): Develop a multi-agent system, create a Flask-based web dashboard, and secure data with best practices.
- Testing and Iteration (Day 9): Conduct comprehensive testing, measure productivity gains, gather feedback, and refine the agent for reliability.
- Deployment and Growth (Day 10): Deploy the agent as a system service, integrate with tools like email or Google Sheets, and plan for scalability with hardware or model upgrades. Each chapter combines theoretical context with practical, beginner-friendly instructions, ensuring you can build, test, and deploy your agent without prior AI experience. Real-world case studies illustrate applications in retail, logistics, and customer service, showing how your agent can save hours of manual work, reduce response times from minutes to seconds, and delight customers with personalized, empathetic interactions. By the end, you'll have a robust, secure, and scalable AI assistant running on the Raspberry Pi 5, capable of automating tasks, engaging customers, and driving business growth. Whether you're optimizing inventory, streamlining customer support, or enhancing operational efficiency, this book equips you to launch a productivity revolution. Start building your agentic AI today and transform your business in just 10 days!
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