What tools and technologies are covered?

The course covers Python, DeepSeek APIs, virtual environments, environment variables, prompt templates, testing tools, and conversational application development techniques.

Will I work with the DeepSeek API hands-on?

Yes. You will configure the development environment, securely manage API credentials, make DeepSeek API requests, and integrate model responses into Python applications.

Will I build a conversational DeepSeek application?

Yes. You will build a command-line DeepSeek chatbot and enhance it with conversation history and contextual follow-up interactions.

Will I learn conversation history and context management?

Yes. The course covers message history, context windows, trimming, and summarization to help manage longer conversations effectively.

Does the course cover reliable API handling?

Yes. You will explore streaming responses, timeouts, retry handling, and application testing to build more reliable DeepSeek-powered applications.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Introduction to DeepSeek

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Introduction to DeepSeek

Q: Does this course cover prompt engineering?

Yes. You will learn to design effective prompts using roles, context, constraints, examples, and reusable prompt templates for different developer tasks.

Q: Will I build AI-powered developer utilities?

Yes. You will build practical DeepSeek-powered utilities for code explanation, debugging, refactoring, and unit-test generation.

Ce cours fait partie de Spécialisation "DeepSeek AI: From Fundamentals to Applications"

Instructeur : Edureka

Inclus avec En savoir plus

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

5 heures à compléter

Planning flexible

Apprenez à votre propre rythme

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

5 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Explain DeepSeek models, developer use cases, and API architecture.
Configure a secure Python environment for DeepSeek application development.
Apply prompt engineering techniques to build effective developer utilities.
Develop reliable conversational applications using context management and resilient API handling.

Compétences que vous acquerrez

Catégorie : Prompt Patterns
Catégorie : Artificial Intelligence
Catégorie : AI literacy
Catégorie : Test Automation
Catégorie : Site Reliability Engineering
Catégorie : Software Testing
Catégorie : Context Engineering
Catégorie : Computer Programming Tools
Catégorie : Test Tools
Catégorie : Context Management
Catégorie : AI Personalization
Catégorie : AI Enablement
Catégorie : Test Case
Catégorie : API Gateway
Catégorie : LLM Application
Catégorie : Verification And Validation
Catégorie : Prompt Engineering Tools

Outils que vous découvrirez

Catégorie : Generative AI
Catégorie : Application Programming Interface (API)
Catégorie : Prompt Engineering

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

septembre 2026

Évaluations

6 devoirs

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Ce cours fait partie de la Spécialisation "DeepSeek AI: From Fundamentals to Applications"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 3 modules dans ce cours

DeepSeek applications are built differently from traditional software because model behavior, prompts, context, API reliability, and response quality all become part of application design. In this hands-on course, you’ll learn Introduction to DeepSeek, a practical course that helps developers integrate DeepSeek into Python applications, design effective prompts, build developer utilities, and create reliable conversational AI experiences. Whether you want to understand DeepSeek models, make secure API calls, automate coding tasks, or build context-aware assistants, this course gives you a structured starting point.

You’ll begin by exploring the foundations of DeepSeek, including model capabilities, developer use cases, API architecture, request lifecycles, Python environments, dependency setup, API key security, and your first DeepSeek API request. Then, you’ll move into prompt engineering and developer utilities by working with prompt roles, context, constraints, code explanation, debugging, refactoring, unit-test generation, reusable prompt templates, and prompt testing practices. Finally, you’ll explore conversational application development using message history, context windows, trimming, summarization, streaming responses, timeout handling, retry strategies, and end-to-end testing of a DeepSeek-powered developer assistant. By the end of this course, you will be able to: -Explain DeepSeek models, developer use cases, API architecture, request lifecycles, and core application concepts. -Configure a Python development environment, manage dependencies, secure API credentials, and execute DeepSeek API requests. -Design effective prompts using roles, context, constraints, examples, and reusable prompt templates for developer-focused tasks. -Build DeepSeek-powered utilities for code explanation, debugging, refactoring, and unit-test generation. -Develop reliable conversational applications using message history, context management, streaming, timeouts, retries, and response testing. This course is designed for Python developers, backend engineers, AI application developers, software engineers, technical professionals, and anyone who wants to understand how DeepSeek can be integrated into practical development workflows. If you are new to DeepSeek or want a guided path from basic API integration to prompt engineering and conversational application development, this course provides a practical learning experience. You should have basic familiarity with Python and general programming concepts. Experience with virtual environments, APIs, environment variables, Git, and command-line usage is helpful, along with a willingness to practice through hands-on development tasks. Enroll now and learn how to build secure, reliable, and practical AI-powered applications with DeepSeek.

Understand DeepSeek models, developer use cases, and API architecture. Set up a Python development environment, secure API credentials, install required dependencies, and make your first DeepSeek API request through hands-on activities that establish a strong foundation for AI application development.

Inclus

9 vidéos4 lectures2 devoirs

9 vidéosTotal 30 minutes

Specialization Intro4 minutes
Course Introduction2 minutes
Introduction to DeepSeek 4 minutes
DeepSeek Models and API Request Flow4 minutes
Hands-On: Setting Up the DeepSeek Development Environment3 minutes
Hands-On: Creating a Python Project and Virtual Environment3 minutes
Hands-On: Installing and Verifying DeepSeek Dependencies3 minutes
Hands-On: Securing the DeepSeek API Key with Environment Variables3 minutes
Hands-On: Making and Testing the First DeepSeek API Request4 minutes

4 lecturesTotal 40 minutes

Course Syllabus10 minutes
DeepSeek Models and Developer Use Cases Guide10 minutes
Hosted DeepSeek API versus Local Model Deployment10 minutes
API Key Security and .gitignore Best Practices10 minutes

2 devoirsTotal 21 minutes

Knowledge Check: DeepSeek Foundations and API Integration15 minutes
DeepSeek Setup and Environment Check6 minutes

Design effective prompts using roles, context, constraints, and examples. Build DeepSeek-powered tools for code explanation, debugging, refactoring, unit-test generation, and reusable prompt templates through practical exercises focused on reliable and maintainable developer workflows.

Inclus

7 vidéos3 lectures2 devoirs

7 vidéosTotal 34 minutes

Prompt Engineering for DeepSeek Applications4 minutes
Choosing DeepSeek Models and Configuring Reasoning Modes4 minutes
Hands-On: Building a Code Explanation Assistant4 minutes
Hands-On: Building a Code Debugging and Correction Assistant5 minutes
Hands-On: Building a Code Refactoring Assistant5 minutes
Hands-On: Generating and Running Unit Tests with DeepSeek6 minutes
Hands-On: Creating Reusable Prompt Templates for Developer Tasks6 minutes

3 lecturesTotal 30 minutes

Effective Prompt Design with Context and Examples10 minutes
DeepSeek Models and API Parameter Reference10 minutes
Managing Prompt Testing and Versioning10 minutes

2 devoirsTotal 21 minutes

Knowledge Check: Prompt Engineering and Developer Utilities15 minutes
DeepSeek Prompting and Code Assistance Check6 minutes

Build reliable conversational applications with DeepSeek using message history, context management, streaming, retries, and timeout handling. Develop and test a complete command-line developer assistant that supports multi-turn interactions and prepares you to create resilient, production-oriented AI applications.

Inclus

7 vidéos5 lectures2 devoirs

7 vidéosTotal 35 minutes

Architecture of a Reliable DeepSeek Application4 minutes
Hands-On: Building a Command-Line DeepSeek Chatbot5 minutes
Hands-On: Adding Conversation History and Follow-Up Context6 minutes
Hands-On: Managing Context Length with Trimming and Summarisation6 minutes
Hands-On: Adding Streaming, Timeouts, and Retry Handling5 minutes
Hands-On: Integrating and Testing the DeepSeek Developer Assistant7 minutes
Course Summary2 minutes

5 lecturesTotal 70 minutes

Stateless APIs and Conversation Context Management10 minutes
Conversation Memory and Context Management Guide10 minutes
Managing Streaming and Rate Limits in APIs10 minutes
Testing Conversational AI Applications10 minutes
Practice Project: Building an Intelligent Developer Assistant with DeepSeek30 minutes

2 devoirsTotal 36 minutes

End Course Knowledge Check: DeepSeek Fundamentals for AI Development30 minutes
DeepSeek Chatbot and Conversation Memory Check6 minutes

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.

Instructeur

Edureka

250 Cours222 288 apprenants

Offert par

Edureka

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Foire Aux Questions

This course is designed for Python developers, software engineers, backend developers, and aspiring AI application developers who want practical experience building applications with DeepSeek.

Basic knowledge of Python and general programming concepts is recommended. Familiarity with APIs, virtual environments, Git, and command-line tools will also be helpful.

You will learn how to integrate DeepSeek APIs, design effective prompts, build developer utilities, and create reliable conversational AI applications.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.