This course introduces you to DeepSeek, one of the fastest-growing open-source AI ecosystems, and explores how it's reshaping the way developers, analysts, and business professionals build and apply large language models in real-world scenarios.



Recommended experience
What you'll learn
Compare and evaluate DeepSeek AI models (V3, R1, Janus Pro) against top LLMs for performance, cost, and transparency.
Seamlessly integrate DeepSeek into your workflow using web, API, mobile, and no-code tools like LMStudio and Cursor.
Analyze real-world applications of DeepSeek in automation, data analysis, business operations, and AI experimentation.
Design better prompts and conversations using foundational prompt engineering techniques tailored for DeepSeek.
Skills you'll gain
Details to know

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May 2025
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There are 2 modules in this course
This module lays the foundation of your DeepSeek journey. From understanding what DeepSeek AI is to how it differs from other LLMs, you'll build a clear perspective on its unique models and access routes. Whether you're using web tools, APIs, or local deployment via platforms like LMStudio, this module equips you with everything you need to start strong.
What's included
16 videos2 readings4 assignments1 discussion prompt
This module explores how DeepSeek contributes to the open-source ecosystem, and how it’s being used across industries by developers, analysts, and business leaders. You'll also understand how to customize DeepSeek using Hugging Face and apply it across tasks like summarization, reasoning, and customer support automation.
What's included
10 videos1 reading4 assignments
Offered by
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University of Pennsylvania
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Frequently asked questions
DeepSeek is an open-source LLM known for its transparency, fast deployment, and customizable models like V3, R1, and Janus Pro. It stands out for allowing developers and researchers to create derivatives freely.
Yes! This course is specifically designed for beginners. You'll learn foundational concepts and practical applications without any prior AI experience.
No. This course focuses on no-code and low-code tools, making it beginner-friendly for everyone.
More questions
Financial aid available,