Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- 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
Learning Roadmap
2.
Introduction to DeepSeek
Introduction to DeepSeek
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
The Future of AI
2 Lessons
2 Lessons
Understand the significant limitations of DeepSeek models in reasoning, biases, and multimodal processing.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
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.
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