Packt

Ollama & DeepSeek Reasoning Model Masterclass

Packt

Ollama & DeepSeek Reasoning Model Masterclass

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

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Recently updated!

February 2026

Assessments

6 assignments

Taught in English

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There are 6 modules in this course

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.

What's included

4 videos1 reading

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.

What's included

5 videos1 assignment

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.

What's included

4 videos1 assignment

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.

What's included

2 videos1 assignment

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.

What's included

6 videos1 assignment

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.

What's included

1 video2 assignments

Instructor

Packt - Course Instructors
Packt
1,395 Courses 375,627 learners

Offered by

Packt

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