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Working with DeepSeek in Python

BasicSkill Level
4.7+
98 reviews
Updated 06/2026
Discover what all of the DeepSeek hype was really about! Build applications using DeepSeek's R1 and V3 models.
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PythonArtificial Intelligence
3 hr
11 videos
35 Exercises
2,950 XP
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Course Description

Discover How to Access DeepSeek AI Models

Since the release of its V3 and R1 models, DeepSeek has emerged as a market leader in developing high-performance, open-source large language models (LLMs) for the AI community. These models were developed with cutting-edge research that reportedly slashed training costs by up to a factor of 30 compared to similar market-leading models at the time.

To begin extracting business value from DeepSeek's models, you'll need to learn to work with their Application Programming Interface, or API. Throughout the course, you'll learn to use Python code to send requests to use DeepSeek's models. Discover what the DeepSeek hype was all about!

Solve Real-World Problems Using DeepSeek Models

DeepSeek models have a wide range of potential applications. In this course, you'll use DeepSeek to generate and transform text content, perform sentiment analysis, and categorization.

Begin Developing AI Applications

As AI becomes more accessible to individuals and organizations, the bar for developing AI-driven product features and automations continues to fall. Right now, every organization has the capability to begin using AI to streamline business processes and develop more personalized customer experiences. DeepSeek models are accessible via APIs so software engineers and developers can start integrating AI into applications and systems.

Prerequisites

Intermediate Python
1

Introduction to DeepSeek

Harness the power of AI with DeepSeek V4-Pro in both chat and reasoning modes by creating requests to Together.ai's API with just a few lines of code!
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2

Prompting DeepSeek Models

DeepSeek's models have created headlines the world over. In this chapter, you'll generate and refine text, classify content with AI, analyze sentiment, and explore shot prompting to optimize response outputs. Finally, you'll enable DeepSeek V4-Pro's reasoning mode for code debugging and analyzing legal documents.
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3

Building Conversations with DeepSeek

Time to create your very own AI-powered chatbot! You'll learn how to write effective system messages, provide examples in the form of user and assistant messages, and integrate a message history to retain context between prompts. You'll finish by building a multi-turn coding chatbot powered by DeepSeek V4-Pro.
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Working with DeepSeek in Python
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*4.7
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FAQs

Which DeepSeek models does this course cover?

You work with DeepSeek V3, a chat model, and DeepSeek R1, a reasoning model. Both are accessed through Together.ai API to handle different types of tasks.

What practical tasks will I complete using DeepSeek?

You generate marketing content, summarize customer conversations, classify and analyze sentiment, debug code, analyze legal documents, and build a Python coding chatbot.

Do I need prior experience with AI or large language models?

No. This is a beginner-level AI course. You only need intermediate Python knowledge to get started with DeepSeek through the Together.ai API.

Will I learn to build a chatbot in this course?

Yes. Chapter 3 teaches you to create an AI-powered chatbot with system messages, example conversations, message history for context retention, and integrated reasoning models.

How does the course access DeepSeek models?

You connect to DeepSeek models through Together.ai API using Python, requiring just a few lines of code to send requests and receive generated responses.

Join over 19 million learners and start Working with DeepSeek in Python today!

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