DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM

Gain hands-on experience building, fine-tuning, and deploying GenAI applications using DeepSeek

Key Features
• Explore DeepSeek’s architecture, training data, and reasoning capabilities
• Build agents, fine-tune with distillation, and deploy with CI/CD pipelines
• Apply DeepSeek to real-world use cases like coding, ideation, and legal analysis

Book Description
Learn how to build, fine-tune, and deploy AI systems using DeepSeek, one of the most influential open-source large language models available today. This book guides you through real-world DeepSeek applications—from understanding its core architecture and training foundations to developing reasoning agents and deploying production-ready systems.

Starting with a concise synthesis of DeepSeek's research, breakthroughs, and open-source philosophy, you’ll progress to hands-on projects including prompt engineering, workflow design, and rationale distillation. Through detailed case studies—ranging from document understanding to legal clause analysis—you’ll see how to use DeepSeek in high-value GenAI scenarios.

You’ll also learn to build sophisticated agent workflows and prepare data for fine-tuning. By the end of the book, you’ll have the skills to integrate DeepSeek into local deployments, cloud CI/CD pipelines, and custom LLMOps environments.

Written by experts with deep knowledge of open-source LLMs and deployment ecosystems, this book is your comprehensive guide to DeepSeek’s capabilities and implementation.

What you will learn
• Discover DeepSeek's unique traits in the LLM landscape
• Compare DeepSeek's multimodal features with leading models
• Consume DeepSeek via the official API, Ollama, and llama.cpp
• Use DeepSeek for coding, document understanding, and creative ideation
• Integrate DeepSeek with third-party platforms like OpenRouter and Cloudflare
• Distill and deploy DeepSeek models into production environments
• Identify when and where to use DeepSeek
• Understand DeepSeek's open philosophy

Who this book is for
AI engineers, developers, and builders working with open-source LLMs who want to integrate DeepSeek into GenAI applications, agent workflows, or deployment pipelines. Readers should have hands-on experience with Python, APIs, and tools like Ollama or llama.cpp, and a solid understanding of machine learning concepts.