DeepSeek is stepping up to rival the biggest names in the AI industry with its latest reasoning model, R1. This course offers an in-depth exploration of DeepSeek’s architecture, reasoning capabilities, and real-world applications, comparing its performance against leading AI models like OpenAI’s o3.
Through structured lessons, you’ll learn about the inner workings of DeepSeek V3, understand how reinforcement learning enhances chain-of-thought reasoning, and analyze AI performance metrics. You’ll also learn how privacy, security, and efficiency impact AI deployment while determining whether DeepSeek-R1 outperforms OpenAI’s latest advancements.
By the end of this course, you’ll gain practical experience by building a Hangman application using DeepSeek-R1. You’ll also critically evaluate the limitations, biases, and challenges of DeepSeek, helping you decide whether it is truly a game changer or just another contender in the AI universe.
DeepSeek is stepping up to rival the biggest names in the AI industry with its latest reasoning model, R1. This course offers an...Show More
WHAT YOU'LL LEARN
An understanding of the structure and functionality of DeepSeek models, V3 and R1
Knowledge of how reinforcement learning enhances chain-of-thought reasoning
An understanding of the role and benefits of DeepSeek-R1’s distilled models for efficiency and performance
The ability to evaluate DeepSeek against OpenAI and other leading LLMs
Hands-on experience building a Hangman game using DeepSeek-R1 to solidify practical skills
An understanding of the structure and functionality of DeepSeek models, V3 and R1
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TAKEAWAY SKILLS
Content
2.
Introduction to DeepSeek
8 Lessons
Discover and compare DeepSeek’s open-source AI models, architecture, and capabilities with other LLMs. Find out whether OpenAI o3 is better than DeepSeek-R1.
3.
The Future of AI
2 Lessons
Understand the significant limitations of DeepSeek models in reasoning, biases, and multimodal processing.
Certificate of Completion
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