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Open source LLM: DeepSeek AI for Developers (Udemy.com)

Understand DeepSeek AI fundamentals, use DeepSeek-V3 and R1 models, run models offline, access the DeepSeek API.

4.4
200 reviews

Created by: Valentin Despa

Last updated August 2025

Our take

Based on the ratings of 200 students, a sample of their written reviews and the syllabus, as the course stood in August 2025. No course pays to be reviewed.

Valentin Despa's course is a three-hour tour of DeepSeek's models for people who want to use them, not train them. It covers the V3 and R1 split, distilled models, censorship, the chat apps, running models locally with Ollama and LM Studio, and the DeepSeek API. The syllabus shows 45 lectures across seven sections, and about 56 minutes goes to the API. Around 1,300 students have enrolled.

Reviewers like the clear explanations. One says the teaching makes V3 and R1 easy to follow even for beginners, and another picked up terms such as distillation, chain of thought and MoE. Of 200 ratings, 96 are five stars and 84 are four, with only five at two stars and none at one. The complaints are mild. One reviewer wants more hands-on projects, another found section 6 rushed for the tools it introduces, and one calls the course a bit long.

The local section is only three lectures and 16 minutes, and the requirements list a powerful GPU, so expect to watch rather than follow along on a modest laptop. The course was last updated in August 2025, so check the API steps against DeepSeek's current docs. As a short, paid primer it suits curious developers well. If you want projects or depth on building apps, look elsewhere.

Best forDevelopers and curious beginners who want a quick, practical intro to DeepSeek, its API and local setup.
Skip it ifYou want projects or app-building depth, or your machine has no powerful GPU for running models locally.

Pros

  • Clear explanations of V3 vs R1, distillation, chain of thought and MoE
  • About 56 minutes on the DeepSeek API, the most useful part for developers
  • Covers Ollama, LM Studio, privacy and censorship, not just the chat app
  • Short at 3 hours, with 96 of 200 ratings at five stars

Cons

  • Few hands-on projects, and reviewers ask for more real-world app building
  • Section 6 moves fast for the tools it introduces, per one reviewer
  • Local running needs a powerful GPU and gets only three short lectures
The course was well-structured and covered all the key concepts effectively. The instructor explained topics clearly with practical examples.
Shakeel Ahamed, a student

All Levels, with no prior AI knowledge needed, but running models locally calls for a powerful GPU.

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What you will learn

  • Understand the core concepts behind DeepSeek AI models
  • Differentiate between DeepSeek-V3, DeepSeek-R1, and other models like OpenAI’s offerings.
  • Use DeepSeek Chat via the browser or mobile app
  • Run DeepSeek locally using Ollama and LM Studio
  • Make API calls to DeepSeek Platform
  • Compare DeepSeek to OpenAI

Course content

7 sections · 45 lectures · 3 hours of video 1 quiz, 1 article

  1. 1Introduction 3 free previews3 lectures · 9 min
  2. 2Overview of the DeepSeek models & capabilities 2 free previews10 lectures · 1 quiz · 50 min
  3. 3How to use DeepSeek online5 lectures · 8 min
  4. 4How to use DeepSeek offline (locally)3 lectures · 16 min
  5. 5DeepSeek API14 lectures · 56 min
  6. 6Build applications with DeepSeek9 lectures · 39 min
  7. 7Conclusion1 lecture · 1 min

Who it is for

The instructor says it suits

  • AI Enthusiasts & Beginners
  • Developers & Engineers
  • Tech Professionals & Data Scientists
  • Entrepreneurs & Innovators

What you need before you start

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

How it compares

Against the other 518 rated Udemy courses in Software Development on CourseDuck:

  • Rating4.4 out of 5higher than 28% of them
  • Reviews200#342 of 519 by number of reviews
  • Length3 hoursshorter than 78% of them
  • Last updatedAugust 2025earlier than 52% of them

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Course Description

Welcome to this technical deep dive into DeepSeek and their latest GenAI models (DeepSeek-V3 and DeepSeek-R1)!

Whether you are an AI enthusiast, a developer, or someone curious about the next big thing in AI, this course will help you understand, use, and even integrate DeepSeek models into your projects.


== What You’ll Learn ==

Introduction to DeepSeek

  • What is DeepSeek and why does it matter?

  • A first look at DeepSeek’s models and capabilities

  • Understanding basic AI terminology

DeepSeek Models & Architecture

  • DeepSeek-V3 vs. DeepSeek-R1 – Key differences

  • The open-source aspect & model censorship

  • Distilled models and how they compare to OpenAI

  • Image generation with DeepSeek’s Janus model

Using DeepSeek online & offline (locally)

  • DeepSeek Chat (browser & mobile apps)

  • Privacy policies & security considerations

  • Running DeepSeek locally using:

    • Ollama

    • LM Studio

DeepSeek API

  • Generating an API key

  • Making your first API call

  • API pricing & privacy policy

  • Running a self-hosted model API


== Why Take This Course? ==

Beginner-friendly – No prior knowledge needed!
Step-by-step guidance – From theory to practical applications
Hands-on projects – Learn by doing!
Up-to-date content – AI evolves fast, and so does this course!
Bonus materials – Extra resources, links, and guides included!


Feeling Overwhelmed? Don’t Worry!

This course is designed to be accessible even if you are new to AI. We will go step by step, and I’m here to answer your questions!

Need help? Use the Q&A section or send me a private message.


Ready to explore DeepSeek? Let’s begin!


Legal Disclaimer

This course is an independent educational resource and is not endorsed by, affiliated with, or associated with DeepSeek or any of its products or services. DeepSeek and related marks are trademarks of their respective owners. All product names, logos, and brands mentioned in this course are the property of their respective owners.

This course contains promotional materials.
Read More All Levels All Levels product length iconTime: 3h

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Instructor Details

Valentin Despa

I teach IT professionals what I wish I'd known earlier.

My foundation is built on years in the trenches as an Agile Enterprise Software Developer, engineering solutions for everything from fast-paced start-ups and SMBs to large global corporations. I hold recognized roles as an AWS Community Builder, Postman Supernova, and GitLab Hero, alongside a deep history of securing and building major open-source projects.

For over a decade, I've taken that real-world experience and quietly built one of the largest learning communities around API tooling, test automation, and DevOps practices. What started as a side YouTube channel turned into hundreds of thousands of learners, conference talks, and team workshops at companies most IT professionals have heard of.

The thread through all of it is the same: take something that looks intimidating and break it down so anyone can understand it in plain language.

Lately, I've been spending more time on practical AI in the workplace. I look at how teams can leverage AI for both everyday knowledge work and hands-on IT engineering, like coding and testing. I focus on cutting through the hype to figure out how AI actually helps IT professionals get work done, build, and ship faster. New formats, same approach.

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Reviews

4.4

200 ratings on Udemy

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By James Schleicher on 6/23/2025

Very informative for effectively communicating course recipients on LLM 360-degree but at a quasi-technical level. A bit long, though

By Helen Fung on 3/19/2025

I found this course to be really informative and helpful. It provided valuable insights into DeepSeek, and I learned a lot about its application and potential. The examples, particularly those involving AI reasoning limits—like the color box and the typo city location scenario — were great and really highlighted the nuances of AI capabilities. Section 6 was a bit more challenging. While it delved deeper into other libraries and tools, I felt the time allocated didn’t quite match the complexity, which made it a bit harder to follow. Despite this, I really appreciated how each topic was kept to concise, manageable sections. The overall course was well-structured, and I definitely gained a lot of new knowledge.

By LIGUO An on 3/15/2025

I learned the whole lectures, which helps learners grab DeepSeek quickly. Thanks.

By Mpho Ruben Olifant on 2/28/2025

Very informative

By HK Guo on 2/20/2025

废话太多，不过也讲了一些有用的东西。鼓励一下作者，给4分。

By Anonymized User on 2/18/2025

This was amazing experience, good explanation. Thank you.

By Miguel Díaz Pestana on 2/12/2025

Great Introduction to DeepSeek. I hope new topics will be added to the course.

By Danyal Ejaz on 2/9/2025

Definitely recommended for anyone wanting to learn about DeepSeek AI, its fundamentals, and practical applications. The course is well-structured, beginner-friendly, and provides hands-on experience with DeepSeek models, APIs, and local deployments!

By Ming Li on 2/7/2025

Yes it increased my knowledge within AI and learned a lot of new technical terms such as: distillation, regurgitates, chain of thought, MoE.

By Nityananda Ghosh on 2/3/2025

The course touches upon some of the fundamental concepts of LLMs. The training, architecture, comparison of reasoning model with standard models were explained very well. I would like Valentin to add more practical usage of LLMs in building applications and solving real world use cases problem. Thanks for bringing out the course.

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Overall Score : 88 / 100

Open source LLM: DeepSeek AI for Developers
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  • Video Duration: icon 3h
  • Price: $24.99
  • Provider: icon Udemy
  • Updated: icon August 2025
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
  • Lectures:45 in 7 sections
  • Practice:1 quiz
  • Students:1,321
  • Subtitles:8 languages
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