AI Engineering with Karan Raj

By the end of this book, the reader should understand how to:

• Design production AI architectures
• Build advanced RAG systems
• Build tool-using AI applications
• Build agentic workflows
• Implement AI evaluation
• Monitor LLM applications
• Optimize latency and cost
• Secure AI systems
• Deploy AI applications
• Understand model selection
• Understand fine-tuning
• Work with open-source models conceptually
• Build reliable AI pipelines
• Design AI systems for scale
• Create production-grade AI projects
• Answer AI system-design interview questions