Udemy – DeepSeek AI for Developers 2025-2

DeepSeek AI for Developers Course. This course provides a technical overview of the advanced DeepSeek AI models, including DeepSeek-V3 and DeepSeek-R1, and is designed for developers and AI enthusiasts. Participants will learn about basic AI concepts, the architecture of DeepSeek models, and the differences between DeepSeek-V3 and DeepSeek-R1. It also covers open source aspects, comparisons with OpenAI, and the capabilities of distilled models. The practical sections will teach you how to use DeepSeek online and offline (with tools like Ollama and LM Studio). Image generation with the Janus model, working with DeepSeek Chat via browser and mobile apps, and security and privacy considerations. Finally, you will learn how to use the DeepSeek API, including generating an API key, initial invocations, pricing, and setting up a self-hosted API. This course will help participants leverage DeepSeek models in their projects.

What you will learn

• Understand the core concepts behind DeepSeek AI models.
• Distinguish between DeepSeek-V3, DeepSeek-R1 and other models such as OpenAI products.
• Use DeepSeek Chat via browser or mobile app.
• Running DeepSeek locally using Ollama and LM Studio.
• Make API calls to the DeepSeek platform.
• Comparing DeepSeek with OpenAI.

This course is suitable for people who:

• Artificial intelligence enthusiasts and beginners.
• Developers and engineers.
• Technology professionals and data scientists.
• Entrepreneurs and innovators.

DeepSeek AI for Developers Course Specifications

• Publisher:  Udemy
• Instructor:  Valentin Despa
• Training level: Beginner to advanced
• Training duration: 1 hour and 37 minutes
• Number of lessons: 27

Course syllabus as of 2025/3

Prerequisites for the DeepSeek AI for Developers course

• DeepSeek account
• Some familiarity with AI concepts (optional)
• Powerful GPU (to run models locally)

Course images

Sample course video

Download link

Download file – 631 MB

File(s) password: www.downloadly.ir

File size

631 MB