We may earn an affiliate commission when you visit our partners.
Brian Newman
and
Starweaver
Did you know that a single AI model release wiped out over $1 trillion in global market value in just one day? As per Reuters, the launch of DeepSeek's R1 model in January 2025 triggered the largest tech selloff in history, with Nvidia alone losing $600 billion. This Chinese startup achieved something that shocked Silicon Valley: they built an AI model rivaling OpenAI's best at a small fraction of the cost and in a fraction of the time.
Read more
Did you know that a single AI model release wiped out over $1 trillion in global market value in just one day? As per Reuters, the launch of DeepSeek's R1 model in January 2025 triggered the largest tech selloff in history, with Nvidia alone losing $600 billion. This Chinese startup achieved something that shocked Silicon Valley: they built an AI model rivaling OpenAI's best at a small fraction of the cost and in a fraction of the time.
Read more
Did you know that a single AI model release wiped out over $1 trillion in global market value in just one day? As per Reuters, the launch of DeepSeek's R1 model in January 2025 triggered the largest tech selloff in history, with Nvidia alone losing $600 billion. This Chinese startup achieved something that shocked Silicon Valley: they built an AI model rivaling OpenAI's best at a small fraction of the cost and in a fraction of the time.
Welcome to the world of DeepSeek, where open-source innovation meets high performance. This beginner-friendly course will take you from a curious observer to a confident user. We’ll walk through the basics, explain how the Mixture-of-Experts architecture works, and show you how to use DeepSeek tools in your projects.
You'll discover exactly how DeepSeek's reasoning models outperform industry-leading AI systems on mathematical tasks while costing 95% less to run. We'll walk you through three different ways to access these models: the free web interface, API integration, and running them locally on your hardware.
This course is designed for a diverse group of learners, including developers and AI enthusiasts who are curious about open-source alternatives to proprietary models. It’s equally valuable for data scientists exploring cost-effective reasoning models for R&D, as well as business professionals seeking to leverage AI for automation and content generation. Students and researchers with a passion for cutting-edge AI architectures will also benefit from the hands-on insights provided throughout the course.
While this course is beginner-friendly, a basic understanding of artificial intelligence and machine learning concepts will help learners grasp core ideas more quickly. Familiarity with APIs and web-based tools is recommended, as the course covers accessing DeepSeek models through different interfaces. Some exposure to command-line tools is helpful—especially for those opting for local deployment—but is not strictly required.
By the end of this course, learners will be able to critically analyze the architecture and capabilities of DeepSeek models like V3 and R1 and how they stack up against proprietary offerings. They’ll gain the skills to implement DeepSeek in practical scenarios using web tools, APIs, and local environments. Learners will also explore real-world use cases—from content generation to automation—and apply strategies for cost-effective integration while accounting for limitations and best practices in deployment.
Register for this course and see more details by visiting:
OpenCourser.com/course/jg6qp4/introduction
Two deals to help you save
Save money when you learn. Here are two deals and offers that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until July 14
Coursera Plus Annual
Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.
Up to
40%
off
Get offer
Valid until August 30
Google AI App Builder
Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind
Take
100%
off
Get offer
What's inside
Syllabus
Lesson 1: Introduction to DeepSeek
In this course, you’ll explore the architecture, functions, and real-world applications of DeepSeek’s open-source AI models. Through hands-on experience using web interfaces, APIs, and local deployments, you’ll learn to implement DeepSeek for tasks like content generation, data analysis, and reasoning. You’ll also compare model performance, evaluate cost-effective integration strategies, and understand the broader impact of open-source AI on the tech landscape.
Read more
Syllabus
Lesson 1: Introduction to DeepSeek
In this course, you’ll explore the architecture, functions, and real-world applications of DeepSeek’s open-source AI models. Through hands-on experience using web interfaces, APIs, and local deployments, you’ll learn to implement DeepSeek for tasks like content generation, data analysis, and reasoning. You’ll also compare model performance, evaluate cost-effective integration strategies, and understand the broader impact of open-source AI on the tech landscape.
Read more
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Activities
Coming soon
We're preparing activities for
Introduction to DeepSeek.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Introduction to DeepSeek will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds, deploys, and maintains AI models and systems. This course can significantly help you excel as a Machine Learning Engineer by providing hands-on experience with cutting-edge open-source AI models like DeepSeek. You will gain practical skills in implementing DeepSeek models using various access methods, including API integration and local deployment on hardware. Understanding the Mixture-of-Experts architecture and critically analyzing model capabilities will be crucial for designing efficient and high-performing AI solutions. The course also details strategies for cost-effective integration and best practices in deployment, essential aspects for any professional in this field. By working with DeepSeek in practical scenarios, you will be well-prepared to develop smarter workflows and solve complex problems using advanced AI.
Prompt Engineer
Prompt Engineer
A Prompt Engineer specializes in crafting effective queries and instructions to optimize the performance of AI models. This course can be particularly beneficial for an aspiring Prompt Engineer, as it deepens your understanding of how models like DeepSeek function and respond. Lesson Two, specifically, focuses on prompt engineering, guiding you to master the art of eliciting precise and desired outputs from these advanced AI systems. You will learn to navigate model selection and API access, crucial skills for experimenting with and refining prompts. By analyzing DeepSeek’s reasoning capabilities and understanding its architecture, you will be equipped to develop sophisticated prompting strategies, ensuring optimal performance for tasks ranging from content generation to complex data analysis.
Artificial Intelligence Automation Specialist
Artificial Intelligence Automation Specialist
An Artificial Intelligence Automation Specialist designs and implements AI-powered solutions to streamline processes and reduce manual effort. For this role, the course offers direct and practical insights into leveraging DeepSeek for automation. You will gain hands-on experience accessing and deploying DeepSeek models, enabling you to integrate advanced AI capabilities into automated workflows. The curriculum explicitly explores real-world use cases in automation, providing the knowledge to identify opportunities and apply strategies for cost-effective integration. Understanding DeepSeek's reasoning models and their performance advantages will be crucial for developing efficient and impactful automation solutions, preparing you to build smarter, AI-driven workflows that significantly enhance organizational efficiency.
AI Developer
AI Developer
An AI Developer integrates artificial intelligence capabilities into software applications and platforms. For those aspiring to be an AI Developer, this course offers a foundational understanding and practical skills in leveraging powerful open-source AI. You will learn how to access and configure DeepSeek models using web interfaces and APIs, enabling you to embed advanced reasoning and content generation features into your projects. The curriculum's focus on applying DeepSeek to solve real-world problems and build smarter workflows directly aligns with the daily tasks of an AI Developer. By exploring the architecture and capabilities of models like V3 and R1, alongside strategies for cost-effective integration, you will be equipped to innovate and deploy impactful AI-driven solutions across various industries.
Content Generation Specialist
Content Generation Specialist
A Content Generation Specialist uses various tools and strategies, including artificial intelligence, to create engaging and relevant content across platforms. This course is highly relevant for a Content Generation Specialist seeking to leverage advanced AI for creative production. You will explore real-world use cases for DeepSeek, with content generation being explicitly highlighted as a key application. Gaining hands-on experience with DeepSeek's web interfaces and API integration will empower you to efficiently generate diverse content types. Understanding the model's capabilities, including its cost-effectiveness, allows you to strategically integrate DeepSeek into your content workflows, enhancing productivity and creativity while accounting for best practices and limitations in deployment.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer designs and implements systems that enable computers to understand, interpret, and generate human language. While not exclusively an NLP course, this program offers highly valuable skills for a Natural Language Processing Engineer, particularly given DeepSeek's strong performance in reasoning and content generation. You will gain practical experience in implementing DeepSeek models for tasks such as content generation and data analysis, which are core to many NLP applications. Understanding the Mixture-of-Experts architecture and applying prompt engineering techniques, as covered in Lesson Two, are crucial for optimizing language model performance. This hands-on experience helps you evaluate model capabilities, compare performance, and integrate advanced open-source AI into sophisticated language-processing solutions.
Solutions Architect Artificial Intelligence
Solutions Architect Artificial Intelligence
A Solutions Architect Artificial Intelligence designs and oversees the implementation of complex AI-driven technical solutions for organizations. For this role, the course provides critical insights into deploying and integrating advanced AI models. You will gain hands-on experience with DeepSeek's web interfaces, API integration, and local deployments, which are fundamental for designing robust AI infrastructures. Understanding the Mixture-of-Experts architecture and comparing model performance allows you to make informed decisions about technology choices. The curriculum emphasizes evaluating cost-effective integration strategies and exploring real-world applications. This knowledge helps a Solutions Architect Artificial Intelligence effectively align DeepSeek's capabilities with organizational goals and ensure successful, scalable AI system adoption.
Data Scientist
Data Scientist
A Data Scientist analyzes complex datasets to extract insights and build predictive models, often requiring an advanced degree. This course is instrumental for a Data Scientist interested in leveraging cutting-edge AI for enhanced analysis. You are explicitly part of the target audience, exploring cost-effective reasoning models for research and development. The curriculum helps you critically analyze DeepSeek's capabilities, particularly its performance on mathematical tasks, and compare it against other industry-leading AI systems. By gaining hands-on experience with API integration and understanding model limitations, you will be better equipped to incorporate advanced AI into your data analysis workflows, perform data-driven reasoning, and apply strategic, cost-effective integration methods.
Artificial Intelligence Product Manager
Artificial Intelligence Product Manager
An Artificial Intelligence Product Manager defines the strategy, roadmap, and features for AI-powered products. This course can significantly aid an aspiring Artificial Intelligence Product Manager by offering a comprehensive understanding of open-source AI's strategic impact. You will learn to critically analyze DeepSeek's architecture and capabilities, enabling you to assess its potential for new product development. The course explores real-world use cases, from content generation to automation, and emphasizes strategic implementation across industries. Understanding cost-effective integration strategies and ethical considerations, discussed in Lesson Three, is vital for aligning AI capabilities with organizational goals and user needs, allowing you to develop a long-term vision for AI product success.
Technical Consultant Artificial Intelligence
Technical Consultant Artificial Intelligence
A Technical Consultant Artificial Intelligence advises clients on leveraging AI technologies to solve business challenges and improve operations. This course can be highly beneficial for a Technical Consultant Artificial Intelligence, offering a solid foundation in modern open-source AI. You will learn to understand DeepSeek's architecture, functions, and real-world applications across various industries like healthcare, finance, and creative production, as covered in Lesson Three. The curriculum emphasizes evaluating deployment strategies, including API and local integration, and comparing model performance. By understanding cost-effective integration strategies and the broader impact of open-source AI, you will be equipped to guide clients in making informed decisions, aligning DeepSeek's capabilities with their strategic goals, and ensuring successful AI adoption.
Machine Learning Operations Engineer
Machine Learning Operations Engineer
A Machine Learning Operations Engineer focuses on the deployment, monitoring, and maintenance of machine learning models in production environments. This course is highly relevant for a Machine Learning Operations Engineer, as it provides direct experience with deploying and managing open-source AI models like DeepSeek. You will gain hands-on skills in accessing, configuring, and deploying DeepSeek models, including local installation on hardware and API integration. The curriculum emphasizes evaluating cost-effective integration strategies and understanding best practices in deployment, which are critical for optimizing resources and ensuring model reliability. By learning to navigate model selection and understanding architectural nuances, you will be well-equipped to build smarter, more efficient, and scalable AI workflows in operational settings.
Innovation Manager Artificial Intelligence
Innovation Manager Artificial Intelligence
An Innovation Manager Artificial Intelligence identifies, evaluates, and drives the strategic adoption of new AI technologies within an organization. This course is highly relevant for an aspiring Innovation Manager Artificial Intelligence, offering critical insights into the landscape of open-source AI. You will learn to critically analyze DeepSeek's architecture, capabilities, and market impact, understanding how it rivals proprietary offerings at a fraction of the cost. Lesson Three specifically focuses on strategic implementation across industries, helping you evaluate deployment strategies and consider ethical and operational factors. This comprehensive understanding allows you to align DeepSeek's capabilities with organizational goals, user needs, and long-term vision, fostering successful AI adoption and driving significant competitive advantage.
Research Scientist, Artificial Intelligence
Research Scientist, Artificial Intelligence
A Research Scientist Artificial Intelligence conducts fundamental and applied research to advance AI capabilities, often requiring an advanced degree. For those with a passion for cutting-edge AI architectures, this course provides a valuable foundation for a Research Scientist Artificial Intelligence. You will critically analyze the Mixture-of-Experts architecture and the capabilities of DeepSeek models like V3 and R1, including their performance on mathematical tasks. This deep dive into model internals and their comparative performance against proprietary offerings is crucial for understanding the current landscape and identifying future research directions. While the course is beginner-friendly, it provides hands-on insights into open-source innovation that can inform and inspire novel research in AI model development and application.
Technical Writer Artificial Intelligence
Technical Writer Artificial Intelligence
A Technical Writer Artificial Intelligence creates clear, concise documentation for AI products, APIs, and complex technical concepts, making them accessible to various audiences. This course provides a strong foundation for a Technical Writer Artificial Intelligence. You will gain a deep understanding of DeepSeek's architecture, functions, and various access methods, including web interfaces, APIs, and local deployments. This detailed knowledge is essential for accurately documenting how DeepSeek models work, how to use their tools in projects, and their real-world applications. By learning to critically analyze model capabilities and limitations, you will be better equipped to explain complex AI concepts, evaluate deployment strategies, and communicate best practices to developers, data scientists, and business professionals alike.
Business Intelligence Analyst Artificial Intelligence
Business Intelligence Analyst Artificial Intelligence
A Business Intelligence Analyst Artificial Intelligence uses data and AI tools to provide actionable insights for business strategy and decision-making. This course is particularly helpful for a Business Intelligence Analyst Artificial Intelligence by introducing a powerful open-source AI model. You will learn how DeepSeek can be implemented for tasks like data analysis and reasoning, helping you to extract deeper insights from complex information. The curriculum's focus on cost-effective integration and strategic implementation across industries helps you identify how AI can drive business value. By understanding DeepSeek's capabilities and limitations, you can better evaluate AI tools, compare model performance, and recommend data-driven strategies that align with organizational goals and long-term vision, enhancing overall business intelligence efforts.
For more career information including salaries, visit:
OpenCourser.com/course/jg6qp4/introduction
Reading list
We haven't picked any books for this reading list yet.
Save
This foundational textbook in the field of deep learning, covering a wide range of topics from basic concepts to advanced techniques. It is essential for gaining a broad understanding of the neural networks and architectures that underpin models like DeepSeek. While published in 2016, its comprehensive nature makes it a valuable reference and is often used as a textbook in academic institutions.
A widely recognized and comprehensive textbook covering the fundamentals of Natural Language Processing (NLP). Understanding NLP is crucial for comprehending how models like DeepSeek process and generate human language. provides a strong theoretical foundation and is often used in both undergraduate and graduate NLP courses.
Provides a practical, hands-on approach to understanding and implementing Transformer models, which are the core architecture behind most large language models, including DeepSeek. Co-authored by Hugging Face engineers, it's highly relevant for anyone looking to work with or understand the technical underpinnings of modern LLMs. The revised edition valuable and up-to-date resource.
Focusing specifically on generative models, this book is highly relevant to understanding the capabilities of DeepSeek in generating text and potentially other forms of content. It covers various generative techniques, including Transformers, providing insights into the models that enable creative AI applications. The second edition recent publication.
A very popular and practical guide to machine learning and deep learning. While not exclusively focused on LLMs or generative AI, it provides essential hands-on experience with key libraries and concepts necessary for working with and understanding the models that power DeepSeek. The third edition recent and widely used reference.
This concise book offers a high-level overview of essential machine learning concepts. It's excellent for quickly gaining a broad understanding of the field without getting bogged down in excessive detail, making it suitable for those new to ML or seeking a rapid review of fundamentals relevant to AI technologies like DeepSeek.
Dives into the details of Transformer models and their application in NLP. It covers building models from scratch, providing a solid technical understanding of the architecture that is fundamental to large language models like DeepSeek. Suitable for those with a strong technical background wanting to master Transformers.
This textbook presents AI as the study of designing intelligent computational agents, offering a coherent and updated overview of the field. The third edition includes recent AI advances. It provides a solid foundation in AI concepts relevant to building intelligent systems, including those involving language processing.
Save
Written by the creator of Keras, this book offers a practical introduction to deep learning using Python. It's known for its clear explanations and hands-on examples, making complex concepts accessible. The second edition is updated and a valuable resource for practitioners.
Focuses on applying machine learning using the scikit-learn library in Python. While not covering deep learning in detail, it provides a strong foundation in fundamental ML concepts and practical skills that are useful prerequisites for understanding and working with more complex models like LLMs.
A widely used introductory book to NLP using the NLTK library in Python. It covers fundamental NLP concepts and techniques with a practical approach. While some topics might be more basic than the advanced models like DeepSeek, it provides a necessary foundation in text processing.
Save
Focuses on Generative Adversarial Networks (GANs), a type of generative model relevant to creating realistic data. While LLMs primarily use transformer architectures, understanding GANs provides broader context in generative AI and practical guide for implementation.
Save
Written by a leading AI researcher, this book explores the long-term future of AI and the challenge of ensuring that increasingly intelligent systems remain beneficial to humanity. It's a thought-provoking read on the potential risks and challenges associated with advanced AI.
Examines the technical challenges and approaches to building algorithms that are fair, accountable, and transparent. It's relevant for understanding the ethical considerations in developing and deploying AI systems, including LLMs, and provides insights into designing responsible AI.
Save
Co-authored by a co-founder of DeepMind and Inflection AI, this book explores the transformative impact of AI and other frontier technologies on society. It discusses the challenges of controlling powerful technologies like advanced AI, offering a contemporary perspective on the broader implications of developments like DeepSeek.
Offers a unique perspective by guiding the reader through the process of building an LLM from the ground up. This hands-on approach provides a deep understanding of the internal workings of these models, which is highly relevant to comprehending how DeepSeek is built and trained.
Focuses specifically on Transformer architectures and their applications in NLP. It covers various Transformer models and provides practical guidance on using them. It's a good resource for understanding the specific architecture that makes LLMs powerful.
Save
As AI becomes more integrated into society, understanding the ethical implications is crucial. provides an accessible overview of the ethical considerations surrounding AI, including LLMs. It's important for developing a responsible approach to using powerful models like DeepSeek.
Save
Offers a critical perspective on the broader societal impact of AI, examining its political and environmental costs. While not technical, it provides essential context for understanding the larger implications of powerful AI models and the industry surrounding them.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jg6qp4/introduction
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Effort
3 Hours and 20 Minutes
Level
Intermediate
Via
Coursera
Institution
Coursera Instructor Network
Instructors
Brian Newman
Starweaver
Session
November 3, 2025
- December 1, 2025
Language
English
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