What you’ll learn
- Understand the impact of DeepSeek in the generative AI landscape, including its advantages, limitations, and usage best practices
- Explore the DeepSeek interface with hands-on tests, file attachment reading, image processing, and web search
- Master prompt engineering techniques like role prompting and in-context learning, applied to real-world tasks
- Use DeepSeek for content and code generation, translation, proofreading, tone adjustment, and logical problem-solving
- Run DeepSeek locally with full privacy using tools like LM Studio, Ollama, and Google Colab
- Use DeepSeek via API and in environments like VS Code, regardless of your hardware
- Learn how to download models directly from repositories like Hugging Face and set them up properly
- Integrate DeepSeek with spreadsheets, emails, and forms to build useful automations without writing any code
- Develop real projects such as automatically categorizing form data and logging results into spreadsheets
- Build an application using RAG with DeepSeek and Streamlit to create smart document interactions
Learn everything from the basics to advanced techniques to master DeepSeek, one of today’s most powerful open-source Generative AIs — capable of outperforming even the most advanced ChatGPT models. In this course, you’ll explore how to use this revolutionary technology in practice, both with and without programming, always focusing on real examples and useful applications for personal and professional use.You’ll gain a clear understanding of DeepSeek’s impact in the AI landscape, along with its advantages, limitations, and best practices. We start with the interface, including hands-on tests, file reading, image processing, and web search. You’ll dive into prompt engineering with techniques like role prompting and in-context learning, and see how they can be effectively applied to tasks such as content and code generation, translation, proofreading, tone adjustment, and logical problem-solving.Learn through real example
