中The AI Development with DeepSeek for Developers course is a hands-on guide to building real-world AI applications using DeepSeek's open-source models—no prior experience required. Designed for developers, students, ML engineers, and tech enthusiasts, this course combines conceptual overviews with practical projects, delivered through Jupyter notebooks and popular Python libraries like LangChain, Streamlit, Promptify, DSPy, and DeepEval.
AI Development with DeepSeek for Developers
您将学到什么
Build Q&A, chatbot, and code generation apps using DeepSeek models and practical Python tools.
Apply DeepSeek for document summarization, long-context analysis, and mathematical reasoning in real-world projects.
Create task-specific AI agents, compare DeepSeek’s performance and pricing with OpenAI, Claude, and Gemini, and interpret benchmark results.
Customize, fine-tune, and evaluate DeepSeek models using advanced features like GRPO, MoE, quantized models, and DeepEval metrics.
您将获得的技能
要了解的详细信息
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添加到您的领英档案
最近已更新！
July 2025
作业
16 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有4个模块
In the first module, you’ll get introduced to DeepSeek’s open-source model ecosystem and learn how to access and use the models via the web interface and API. You’ll explore the differences between DeepSeek-V3, R1, and Coder, and build your first simple app using Promptify and Streamlit. This module builds your foundation for hands-on work with the models.
涵盖的内容
13个视频4篇阅读材料4个作业1个讨论话题2个插件
This module focuses on applying DeepSeek to solve real-world tasks. You’ll use DeepSeek models for document retrieval, summarization, code generation, and building interactive Q&A systems. This module blends conceptual understanding with implementation using LangChain, DSPy, and Jupyter notebooks.
涵盖的内容
9个视频3篇阅读材料4个作业1个插件
In the third module, you’ll build practical task-based agents using DeepSeek and LangChain. You’ll also evaluate how DeepSeek compares with other leading models like GPT-4o, Claude, and Gemini in terms of pricing, benchmark performance, and capabilities. This module gives you insight into model selection and real-world deployment tradeoffs.
涵盖的内容
9个视频3篇阅读材料4个作业1个插件
In the final module, you’ll explore DeepSeek’s unique innovations — from Guided Roleplay Optimization (GRPO) and Mixture-of-Experts to fine-tuning and quantized models for efficient inference. You’ll also use tools like DeepEval to assess model output quality and benchmark performance. This module helps you understand DeepSeek’s strengths and customization potential.
涵盖的内容
11个视频3篇阅读材料4个作业1个插件
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常见问题
Yes, this course is designed for beginners and intermediates. You’ll get step-by-step guidance on using DeepSeek’s models and tools, with no prior AI or coding experience required.
You’ll learn to build Q&A and chatbot apps, summarize documents, generate code, create AI agents, and compare model performance—all using open-source DeepSeek models and popular Python libraries.
You’ll work with DeepSeek-V3, R1, and Coder models, as well as LangChain, Streamlit, Promptify, DSPy, DeepEval, and Jupyter notebooks for hands-on projects.
更多问题
提供助学金，