Cours
Working with DeepSeek in Python
DébutantNiveau de compétence
Actualisé 06/2026
PythonArtificial Intelligence3 h11 vidéos35 Exercices2,950 XPCertificat de formation
Créez votre compte gratuitement
Continuer avec GoogleAfficher plus d’optionsou
En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données seront hébergées aux États-Unis.
Apprécié par des utilisateurs provenant de milliers d'entreprises
Former une équipe ?
Essayez pour les entreprisesDescription 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
Intermediate Python1
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!
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.
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.
Working with DeepSeek in Python
Cours terminé
Obtenez un certificat de réussite
Ajoutez cette certification à votre profil LinkedIn, à votre CV ou à votre portfolioPartagez-la sur les réseaux sociaux et dans votre évaluation de performanceS'inscrire maintenant
Rejoignez plus de 19 millions d'utilisateurs et commencez Working with DeepSeek in Python dès aujourd'hui !
Créez votre compte gratuitement
Continuer avec GoogleAfficher plus d’optionsou
En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données seront hébergées aux États-Unis.
Apprenez où que vous soyez avec l'application DataCamp
Progressez où que vous soyez grâce à nos cours conçus pour mobile et à nos défis quotidiens de 5 minutes.