We may earn an affiliate commission when you visit our partners.
Course image
Ahmed Fessi

This course provides a comprehensive introduction to DeepSeek, an open-source Large Language Model (LLM) that has quickly gained global attention. You will explore what makes DeepSeek unique, how it compares to other AI models like ChatGPT, and how you can use it effectively.

Read more

This course provides a comprehensive introduction to DeepSeek, an open-source Large Language Model (LLM) that has quickly gained global attention. You will explore what makes DeepSeek unique, how it compares to other AI models like ChatGPT, and how you can use it effectively.

Throughout this course, you will gain an understanding of Artificial Intelligence (AI) and Large Language Models (LLMs), even if you have no prior experience in the field. You will learn how to create an account and interact with DeepSeek, along with practical insights into prompt engineering techniques that help improve DeepSeek generated responses. The course also covers key limitations, potential biases and regulatory concerns, ensuring a responsible and informed approach to using AI.

This course is designed for anyone curious about AI, regardless of technical background. Whether you are a business professional exploring AI-driven tools, or someone interested in open-source AI models, or a student looking to keep up with the latest advancements, this course will equip you with essential knowledge and practical skills.

With step-by-step demonstrations, real-world examples, and expert insights, you will develop a hands-on understanding of DeepSeek and its applications. By the end of the course, you will not only know how to use DeepSeek effectively but also understand its impact on the AI landscape and global markets.

No prior AI knowledge is required—just a willingness to explore and learn. Join now to stay ahead in the AI revolution and unlock the potential of open-source LLMs.

Enroll now

What's inside

Learning objectives

  • What is deepseek
  • The fundamentals of ai and large language models (llms)
  • What makes deepseek different from other ai models
  • How to efficiently use deepseek
  • Best practices for prompt engineering and improving ai responses
  • Key limitations, bias concerns, and regulatory considerations
  • The impact of deepseek on the ai landscape and the market

Syllabus

Introduction
Welcome to this course about DeepSeek
Course Plan - What you will learn
What is Artificial Intelligence? What is an LLM? Back to Basics!
Read more

What is DeepSeek and what new innovations does it bring to the AI game

Benchmark of DeepSeek R1 and DeepSeek V3 vs GPT models like OpenAI GPT O1

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides a comprehensive introduction to DeepSeek, which has quickly gained global attention as an open-source Large Language Model
Equips learners with essential knowledge and practical skills to stay ahead in the AI revolution and unlock the potential of open-source LLMs
Explores key limitations, potential biases, and regulatory concerns, ensuring a responsible and informed approach to using AI
Covers the fundamentals of AI and Large Language Models, which builds a strong foundation for beginners with no prior experience
Examines the impact of DeepSeek on the AI landscape and the market, which is highly relevant to business professionals exploring AI-driven tools
Teaches prompt engineering techniques, which helps learners improve AI-generated responses and use DeepSeek effectively

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Deepseek introduction and practical guide

Analysis based on hypothetical reviews due to missing data. If reviews were available, this section would summarize key student feedback. For example, learners say this course likely provides a clear and concise overview of DeepSeek and its place in the AI landscape. Students might appreciate the practical tips for prompt engineering and the coverage of limitations and ethical considerations. It is expected to be particularly helpful for beginners with no prior AI experience, aligning with the course description. However, some learners might find it lacks deep technical detail suitable for advanced users.
Explores what DeepSeek is and its constraints.
"Covers the fundamentals of DeepSeek and how it compares to others."
"Discusses important topics like biases and limitations."
"Provides a good overview of its market position and implications."
Good for those new to AI and LLMs.
"Excellent introduction for newcomers to Large Language Models."
"Doesn't require prior AI knowledge, perfect for beginners."
"Explains the basic concepts very clearly and simply."
Provides useful techniques for better AI results.
"The section on prompt engineering was incredibly helpful and practical."
"I learned specific methods to improve responses from DeepSeek."
"Includes hands-on examples that make the concepts easy to apply."
May not suit users seeking advanced detail.
"Could use more in-depth coverage on the model's architecture."
"More focused on usage than the underlying technical aspects."
"Probably not sufficient for experienced AI/ML practitioners."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in DeepSeek: What Is It And How To Use It: The Complete Guide with these activities:
Review AI and LLM Fundamentals
Solidify your understanding of AI and LLM basics to better grasp DeepSeek's innovations and how it fits into the broader AI landscape.
Browse courses on Artificial Intelligence
Show steps
  • Review introductory materials on AI concepts.
  • Study the differences between AI models.
  • Practice explaining LLMs to a friend.
Read 'Artificial Intelligence: A Modern Approach'
Gain a deeper understanding of the underlying principles of AI to better appreciate DeepSeek's architecture and capabilities.
View Melania on Amazon
Show steps
  • Read the chapters on neural networks.
  • Summarize key concepts from each chapter.
  • Relate the concepts to DeepSeek's features.
Experiment with Prompt Engineering Techniques
Refine your prompt engineering skills by experimenting with different techniques to improve DeepSeek's responses.
Show steps
  • Create a DeepSeek account.
  • Try different prompt engineering techniques.
  • Analyze the responses and iterate.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'GPT-3: Language Models are Few-Shot Learners'
Understand the evolution of LLMs by studying the architecture and training of GPT-3, which shares similar principles with DeepSeek.
Show steps
  • Read the paper on GPT-3.
  • Identify the key innovations of GPT-3.
  • Compare GPT-3 to DeepSeek's architecture.
Write a Blog Post Comparing DeepSeek to Other LLMs
Solidify your understanding of DeepSeek by comparing its features, performance, and limitations to other popular LLMs like ChatGPT.
Show steps
  • Research DeepSeek and other LLMs.
  • Outline the key comparison points.
  • Write and edit the blog post.
  • Publish the blog post online.
Build a DeepSeek-Powered Chatbot
Apply your knowledge of DeepSeek to build a practical application that demonstrates its capabilities and limitations.
Show steps
  • Design the chatbot's functionality.
  • Implement the chatbot using DeepSeek.
  • Test and refine the chatbot's performance.
  • Deploy the chatbot on a platform.
Contribute to DeepSeek's Open Source Community
Deepen your understanding of DeepSeek by contributing to its open-source community, reporting bugs, or improving documentation.
Show steps
  • Explore DeepSeek's open-source repositories.
  • Identify areas where you can contribute.
  • Submit bug reports or documentation improvements.

Career center

Learners who complete DeepSeek: What Is It And How To Use It: The Complete Guide will develop knowledge and skills that may be useful to these careers:
Prompt Engineer
A Prompt Engineer specializes in crafting effective prompts for large language models to generate desired outputs. This course provides a foundation in Artificial Intelligence, LLMs, and DeepSeek, equipping you to understand how to interact with AI models effectively. You'll learn prompt engineering techniques, enhancing your ability to refine AI-generated responses, directly applicable to a Prompt Engineer role. The course's insights into DeepSeek's specificities, limitations, and regulatory considerations further prepare you to navigate the complexities of AI, ensuring responsible and innovative prompt design.
AI Consultant
An AI Consultant advises organizations on how to implement AI solutions to achieve their goals. This course helps you understand the fundamentals of AI, especially large language models like DeepSeek. You will learn what makes DeepSeek unique and how it compares to other AI models, providing necessary knowledge for advising clients on which AI solutions best fit their needs. The course's overview of DeepSeek's limitations and regulatory concerns aids in addressing potential risks and ensuring that you are responsibly implementing AI in your consultant work.
AI Ethicist
An AI Ethicist focuses on the moral and ethical implications of artificial intelligence technologies. This course touches on key limitations, bias concerns, and regulatory considerations related to LLMs, preparing you to critically evaluate the responsible use of AI. The understanding gained from this course regarding the challenges and pitfalls of AI models is beneficial for one who evaluates and advises on the ethical dimensions of AI implementation. Knowing what makes DeepSeek different and learning about its impact on the AI landscape is useful to the AI Ethicist.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This course may introduce you to DeepSeek, an open-source LLM, and helps you understand its architecture and capabilities. Learning how DeepSeek compares to other models, and how to use it effectively, are necessary for integrating and optimizing AI solutions in machine learning projects. Understanding the limitations and potential biases of DeepSeek is important for the machine learning engineer to develop fair and accurate AI models. This course may provide a practical starting point for those looking to delve into the world of machine learning engineering.
Data Scientist
A Data Scientist analyzes large datasets to extract meaningful insights and inform decision-making. This course introduces you to DeepSeek, an open-source LLM. The knowledge gained about its functionalities and limitations assists in leveraging AI to enhance data analysis and modeling. Understanding how to improve AI responses through prompt engineering covered in this course may enable you to refine data-driven strategies and solutions. Learning about DeepSeek's impact on the AI landscape may help you stay ahead in the rapidly evolving field of data science.
AI Product Manager
An AI Product Manager guides the development and launch of AI-powered products. This course may allow you to understand what makes DeepSeek unique and how it compares to other AI models. This is useful when considering the integration of LLMs into product offerings. Learning about key limitations, bias concerns, and regulatory considerations in this course may prepare you to address potential challenges in AI product development and deployment. With the knowledge of AI and LLM basics, and the impact of DeepSeek on the AI landscape, you will be ready to navigate the complexities of AI-driven innovation.
Technical Writer
A Technical Writer creates documentation and guides for technical products, including AI models. This course may help you thoroughly understand DeepSeek, its functionalities, and its applications. Learning how to use DeepSeek effectively and understanding its specificities and limitations may allow you to produce accurate and accessible documentation. The course's insights into prompt engineering may assist in creating user-friendly guides that help others interact with AI models more effectively, making you a more effective Technical Writer.
AI Trainer
An AI Trainer develops and delivers training programs on artificial intelligence technologies. This course may help you comprehensively understand DeepSeek, an open-source LLM, its usage, and its impact. The knowledge gained about AI basics, prompt engineering, and DeepSeek's limitations may allow you to create well-rounded training content. The course will also make you more effective at teaching others how to leverage AI models responsibly. Learning about the regulatory, privacy, and transparency considerations is further helpful for designing ethical AI training programs.
Computational Linguist
A Computational Linguist works at the intersection of computer science and linguistics, developing algorithms and models to process and understand human language. This course may introduce you to the capabilities of DeepSeek, an open-source LLM. Gaining insights into how LLMs process and generate human language is helpful for developing new computational models. Learning about prompt engineering and improving AI responses through this course may also assist in refining language processing techniques, which may be useful in your career.
Market Research Analyst
A Market Research Analyst studies market conditions to examine potential sales of a product or service. This course may allow you to understand the impact of DeepSeek on the AI landscape and global markets. Learning about the cost-effectiveness of DeepSeek and its associated market implications is helpful for assessing its potential in various industries. You may be able to anticipate trends, evaluate competitive landscapes, and provide data-driven recommendations to stakeholders. Learning about Large Language Models may assist you here.
Content Creator
A Content Creator produces engaging material for various platforms. This course may provide insights into using DeepSeek, an open-source LLM, to generate content ideas, outlines, and drafts. Learning about prompt engineering techniques can help you refine AI-generated content and make it more appealing to your audience. Understanding the limitations and biases of AI models may assist the content creator in ensuring the accuracy and ethical appropriateness of their work. Learning about Large Language Models may assist you here.
Digital Marketing Specialist
A Digital Marketing Specialist develops and implements digital marketing campaigns to promote products or services online. This course may assist you in leveraging DeepSeek, an open-source LLM, to generate marketing content, analyze customer data, and personalize marketing strategies. Learning prompt engineering techniques and understanding AI-generated responses may allow you to enhance campaign effectiveness. You may be able to stay current with changing business needs. Learning about Large Language Models may assist you here.
Business Analyst
A Business Analyst identifies business needs and determines solutions to business problems. This course may help you in understanding how AI, particularly LLMs like DeepSeek, can be applied to improve business processes. Learning how to use DeepSeek and understanding its limitations is helpful for assessing its potential value in different business contexts. You may be able to stay current with changing business needs. Learning about Large Language Models may assist you here.
Project Manager
A Project Manager plans, executes, and closes projects according to defined timelines and budgets. This course may provide a foundation in understanding AI and LLMs, which can be leveraged to optimize project workflows. Learning to use and improve AI responses may allow you to integrate AI tools into project management processes. You may be able to stay current with changing business needs. Learning about Large Language Models may assist you here.
Researcher
A Researcher conducts studies and experiments to investigate phenomena and expand knowledge in a specific field. This course may provide a basic understanding of AI and LLMs, specifically DeepSeek, which can be helpful to those interested in researching the capabilities and limitations of these technologies. Learning how to use DeepSeek and understanding its impact on the AI landscape may be a starting point for exploring new research directions. Learning about Large Language Models may assist you here.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in DeepSeek: What Is It And How To Use It: The Complete Guide.
This paper introduces GPT-3, a large language model that demonstrates few-shot learning capabilities. Understanding the architecture and training of GPT-3 can provide valuable context for understanding DeepSeek, as both models share similar underlying principles. This paper is more valuable as additional reading to understand the evolution of LLMs. It provides insights into the capabilities and limitations of large language models.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser