Packt

Ollama & DeepSeek Reasoning Model Masterclass

通过 Coursera Plus 提高技能,仅需 239 美元/年(原价 399 美元)。立即节省

Packt

Ollama & DeepSeek Reasoning Model Masterclass

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

4 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

4 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Understand the architecture and capabilities of DeepSeek R1 and Ollama models.

  • Set up a development environment for integrating DeepSeek R1 and Ollama.

  • Build real-world AI applications like document analyzers and code assistants.

  • Implement local API endpoints to run DeepSeek R1 models in custom projects.

要了解的详细信息

可分享的证书

添加到您的领英档案

最近已更新!

February 2026

作业

6 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

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有6个模块

In this module, we will introduce you to the course, outlining its goals and what to expect throughout your learning journey. You’ll also explore the practical AI applications you will build and set up the development environment for hands-on experimentation. By the end of this section, you’ll be prepared to dive deeper into the course’s technical aspects.

涵盖的内容

4个视频1篇阅读材料

In this module, we will provide an in-depth exploration of DeepSeek R1’s core architecture, its different model variations, and its unique capabilities. You’ll also learn the key differences between open and closed-source LLMs, helping you understand their respective strengths and trade-offs. By the end, you’ll have a clear understanding of DeepSeek’s technical foundations.

涵盖的内容

5个视频1个作业

In this module, we will dive deeper into the hardware and installation considerations for DeepSeek R1 and Ollama. You’ll explore the DeepSeek Chatbox’s conversational capabilities and gain hands-on experience with model installation and configuration. By the end of this section, you’ll be ready to work with DeepSeek R1 and Ollama in a development environment.

涵盖的内容

4个视频1个作业

In this module, we will cover the local development setup for DeepSeek R1, walking you through the integration process for practical applications. You’ll gain hands-on experience using the Ollama local API to run the DeepSeek R1 model in your own projects. By the end of this section, you’ll be able to integrate DeepSeek R1 seamlessly into your codebase.

涵盖的内容

2个视频1个作业

In this module, we will build real-world AI applications using the DeepSeek R1 model. You’ll work on use-cases like the Document Analyzer and Code Assistant, gaining a hands-on understanding of how these tools function. Additionally, we’ll demonstrate the AI Multi-Assistant, showing how multiple AI agents collaborate to solve complex tasks. By the end, you’ll have practical experience in AI application development.

涵盖的内容

6个视频1个作业

In this final module, we will summarize your learning journey, highlight your key achievements, and discuss the next steps to further your AI development. You’ll gain a clear understanding of how to continue applying the concepts from this course in real-world projects and further your expertise in the field.

涵盖的内容

1个视频2个作业

位教师

Packt - Course Instructors
Packt
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