Accéder au contenu principal

Cours

Working with DeepSeek in Python

Débutant3 h

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeek's R1 and V3 models.

Python3 h11 vidéos35 exercices2,950 XP1,289Attestation de réussite

Créez votre compte gratuit

Continuer avec Google
ou
En continuant, vous acceptez nos Conditions d’utilisation, notre notre Politique de confidentialité et que vos données sont stockées aux États-Unis.

Plébiscité par des apprenants dans des milliers d’entreprises

Description du cours

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.

Prérequis

Programme de formation

Plan du cours

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.
Commencer le chapitre
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.
Commencer le chapitre

Working with DeepSeek in Python

Cours
terminé

Obtenir un certificat d'achèvement

S’inscrire maintenant

Apprenez où que vous soyez avec l'application DataCamp

Même en déplacement, suivez quotidiennement nos cours mobiles et nos défis de codage de 5 minutes.