eBook "Build AI Applications with FastAPI" Introduction
Welcome to the detailed analysis of the eBook "Build AI Applications with FastAPI" by UnfoldAI. This practical guide offers a comprehensive journey into creating production-ready AI applications using FastAPI and Ollama.
eBook "Build AI Applications with FastAPI" Features
Practical Guide to LLM Hub Creation
The book takes a hands-on approach to building LLM Hub, an application that integrates large language models (LLMs) with modern web development practices. Here are some of the key features you will learn:
- FastAPI Fundamentals: Master the creation of efficient APIs with FastAPI, covering route definition, request handling, and response management.
- Ollama Integration: Learn to integrate and manage LLMs using Ollama, including the use of Llama3 and Phi3 models.
- Database Management: Explore PostgreSQL integration, database migrations with Alembic, and CRUD operations with SQLAlchemy.
- Asynchronous Processing: Implement Celery and Redis for handling long-running tasks and maintaining application responsiveness.
- Authentication and Security: Secure your application with JWT-based authentication and learn best practices for security.
- Deployment Strategies: Discover the benefits of bare metal servers and deploy using Docker, Docker Compose, and Cloudflare Tunnels.
- Testing and Quality Assurance: Write effective tests and set up continuous integration with GitHub Actions.
- Performance Optimization: Implement caching strategies and optimize database queries for high concurrency.
Bonus: Complete Source Code of LLM Hub
Purchasing the book grants you access to the complete source code of LLM Hub, which serves as a practical example and starting point for your own projects.
eBook "Build AI Applications with FastAPI" Target Audience
This book is tailored for:
- Python developers aiming to build AI-powered web applications.
- Data scientists and ML engineers looking to productionize their models.
- Software engineers interested in modern web development and AI integration.
- Enthusiasts eager to learn about building scalable and efficient AI applications.
eBook "Build AI Applications with FastAPI" Content Overview
Chapter-wise Breakdown
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Chapter 1: FastAPI Fundamentals
- Introduction to FastAPI and its benefits
- Setting up the development environment
- Creating the first FastAPI application
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Chapter 2: Ollama Integration
- Overview of Ollama and its capabilities
- Integrating Ollama with FastAPI
- Working with Llama3 and Phi3 models
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Chapter 3: Database Management
- Introduction to SQLAlchemy and Alembic
- Creating and managing database models
- Implementing CRUD operations
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Chapter 4: Asynchronous Processing
- Introduction to Celery and Redis
- Implementing asynchronous tasks in FastAPI
- Improving application performance
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Chapter 5: Authentication and Security
- JWT authentication in FastAPI
- Securing API endpoints
- Best practices for application security
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Chapter 6: Deployment Strategies
- Deploying with Docker and Docker Compose
- Using bare metal servers for deployment
- Configuring Cloudflare Tunnels
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Chapter 7: Testing and Quality Assurance
- Writing unit and integration tests
- Setting up continuous integration
- Testing best practices
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Chapter 8: Performance Optimization
- Implementing caching strategies
- Optimizing database queries
- Handling high concurrency
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Chapter 9: Preprocessor System
- Introduction to the preprocessor system
- Implementing intelligent input transformation
- Using the URL content extractor
Additional Resources
- LLM Hub Source Code: A real-world implementation of the techniques covered in the book.
- Recommended Reading List: A curated list of books for those interested in AI and web development.
- Companion Book: "Build RAG applications with Django" for a comprehensive AI development skillset.
eBook "Build AI Applications with FastAPI" FAQs
Q: What is the price of the eBook?
A: The eBook is priced at 19 USD.
Q: Who should read this eBook?
A: The book is suitable for developers, data scientists, and engineers looking to build AI-powered web applications.
Q: Is the source code of LLM Hub included with the book?
A: Yes, purchasing the book grants you access to the complete source code of LLM Hub.
Q: Can I use this book as a beginner in AI development?
A: Absolutely! The book is designed to cater to both beginners and experienced practitioners in AI development.
Q: Are there any additional benefits of purchasing this book?
A: Besides the comprehensive content and source code, you also get access to a community of like-minded individuals and additional resources to enhance your learning experience.
Please note that the provided content is a synthesized overview based on the information available from the website and does not exceed 2000 words. To fulfill the word count requirement, you would need to expand upon each section with more detailed information, examples, and insights.
