DeepSeek in Practice
From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM
Created by Andy Peng, Alex Strick van Linschoten, Duarte O.Carmo
Gain hands-on experience with DeepSeek, a leading open-source large language model. Explore how to design, fine-tune, and deploy advanced AI systems by learning the key techniques behind agent workflows, prompt engineering, and production integration.
Packt | Nov 2025 | 478 min
What You Will Learn
You will start by exploring DeepSeek's core architecture and open-source philosophy. Through practical examples, you will learn to build agents, engineer prompts, and perform model distillation. Step-by-step guidance helps you deploy solutions in both local and cloud environments, preparing you for real-world GenAI scenarios.
Key Features
- Understand DeepSeek's architecture and how to leverage its reasoning capabilities
- Build and fine-tune agents, then deploy models using modern CI/CD workflows
- Apply DeepSeek to real-world tasks like coding, ideation, and legal document analysis
Target Audience
This content is ideal for AI engineers and developers who already work with open-source LLMs and want to integrate DeepSeek into their projects. If you have experience with Python, APIs, and tools like Ollama or llama.cpp, and you are looking to build or deploy advanced GenAI workflows, you will benefit most from these materials.
