Who is this course for?

This course is intended for developers, AI enthusiasts, and data scientists who are interested in deepening their knowledge of reasoning models and AI tools like DeepSeek R1 and Ollama. It's ideal for professionals looking to enhance their AI development capabilities or those seeking to create innovative AI-powered applications for their projects.

How long does it take to complete the course?

The course consists of approximately 1 hour of video content, but the time it takes to complete it will depend on the individual learner’s pace, especially when engaging in hands-on activities and coding exercises. You may also choose to revisit sections for a deeper understanding, making the total completion time flexible.

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

When will I have access to the lectures and assignments?

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Ollama & DeepSeek Reasoning Model Masterclass

Développez vos compétences avec Coursera Plus pour 239 $/an (habituellement 399 $). Économisez maintenant.

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Ollama & DeepSeek Reasoning Model Masterclass

Instructeur : Packt - Course Instructors

Inclus avec

6 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

4 heures à compléter

Planning flexible

Apprenez à votre propre rythme

6 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

4 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Generative AI Agents
Catégorie : Artificial Intelligence
Catégorie : Large Language Modeling
Catégorie : LLM Application
Catégorie : Generative Model Architectures
Catégorie : Open Source Technology
Catégorie : Software Installation
Catégorie : Development Environment

Outils que vous découvrirez

Catégorie : Deepseek
Catégorie : Application Programming Interface (API)
Catégorie : DeepSeek API
Catégorie : AI Orchestration
Catégorie : Model Deployment

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

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février 2026

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6 devoirs

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Il y a 6 modules dans ce cours

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the potential of advanced AI reasoning with this hands-on masterclass, focusing on the DeepSeek R1 and Ollama models. You’ll dive deep into the architecture, core capabilities, and real-world applications of these powerful tools, enabling you to develop your own AI applications from scratch. Learn to configure, install, and implement these models in various scenarios, all while honing your development skills. The course is structured to guide you through both conceptual and practical aspects. Starting with the fundamentals, you'll explore the DeepSeek R1’s design, capabilities, and model variations before learning how to deploy it effectively. We will introduce you to Ollama and show you how to integrate DeepSeek R1 with Ollama, culminating in real-world use cases such as document analysis, code assistance, and AI multi-agent systems. You'll be provided with hands-on examples and tutorials that give you the confidence to apply these skills in your projects. By the end of the course, you will have a deep understanding of how these models work, how to integrate them into your own AI projects, and how to leverage them to solve complex tasks. This journey will ensure you’re well-equipped with the skills needed for cutting-edge AI development and integration. This course is ideal for developers, data scientists, and AI enthusiasts who want to explore the latest in AI reasoning models and how to utilize them effectively in real-world applications. A solid grasp of basic programming and AI concepts is recommended, though the course covers the tools and setup you'll need. By the end of the course, you will be able to confidently set up DeepSeek R1 and Ollama in your development environment, create and integrate AI models in your projects, and build advanced applications such as code assistants and document analyzers.

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.

Inclus

4 vidéos1 lecture

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.

Inclus

5 vidéos1 devoir

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.

Inclus

4 vidéos1 devoir

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.

Inclus

2 vidéos1 devoir

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.

Inclus

6 vidéos1 devoir

6 vidéosTotal 37 minutes

Document Analyzer - Introduction Demo4 minutes
Hands-on Document Analyzer Code Walkthrough10 minutes
Code Assistant - Demo Overview3 minutes
Code Assistant Code Walkthrough8 minutes
AI Multi-Assistant Demo5 minutes
AI Multi-Assistant Code Walkthrough7 minutes

1 devoirTotal 15 minutes

Hands-on - Building AI Applications with R1 - Building Use-cases - Assessment15 minutes

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.

Inclus

1 vidéo2 devoirs

Instructeur

Packt - Course Instructors

Packt

1 728 Cours486 110 apprenants

Offert par

Packt

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Foire Aux Questions

The Ollama & DeepSeek Reasoning Model Masterclass is an advanced training designed to provide hands-on experience with cutting-edge AI tools and technologies. It focuses on DeepSeek R1, a powerful reasoning model, and Ollama, a platform for interacting with machine learning models. This course is particularly relevant in today's AI-driven world, as it equips learners with practical skills in utilizing and developing AI-powered solutions for various real-world use cases like document analysis, code assistance, and multi-agent collaboration.

This course explores the fundamentals and advanced features of the DeepSeek R1 model and Ollama platform. It covers everything from the architecture and capabilities of DeepSeek R1, to setting up the development environment, installing necessary tools, and creating hands-on AI applications. The course includes detailed walkthroughs of building and integrating use-cases like document analyzers, code assistants, and AI multi-assistants, allowing learners to experience building practical AI solutions.

After completing the course, you will be proficient in using the DeepSeek R1 reasoning model and Ollama platform. You’ll be able to deploy these tools in real-world applications, such as intelligent document processing, code generation and debugging, and managing multi-agent AI systems. This course will enhance your ability to work with LLMs (Large Language Models) and integrate them into custom projects, expanding your skillset in AI application development.

To enroll in this course, you should have a basic understanding of programming, preferably in Python, as well as familiarity with AI concepts and machine learning models. Experience with API usage and software development will also be helpful, especially since the course involves hands-on work with local development environments and integrations.