Does the course cover API access and authentication for DeepSeek?

Yes, you’ll learn to set up your DeepSeek account, generate API keys, and securely access models programmatically in Python notebooks.

Will I learn how to build and deploy real AI applications?

Absolutely. You’ll build Q&A, chatbot, and code generation apps, and learn how to deploy them using tools like Streamlit and LangChain.

How does DeepSeek compare to OpenAI, Claude, and Gemini?

You’ll compare DeepSeek’s pricing, performance, and benchmarks with other leading LLMs, and learn how to choose the right model for your needs.

Are advanced DeepSeek features like GRPO, MoE, and quantized models covered?

Yes, the course explains DeepSeek’s unique features like GRPO, MoE, quantized models, and fine-tuning—so you can leverage them in your own projects.

What is the level and pace of the course?

The course is beginner to intermediate level, with short, focused lessons (4–7 minutes each) and hands-on tasks in Jupyter notebooks.

Can I use these skills for job applications or freelance projects?

Definitely. The practical skills you gain by building apps, using APIs, evaluating models—are valuable for developer, ML engineer, and tech roles.

Does the course include real-world projects and hands-on practice?

Yes, every module features hands-on tasks, building and testing real AI applications using DeepSeek’s open-source models.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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.

AI Development with DeepSeek for Developers

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues. Consultez les langues disponibles.

AI Development with DeepSeek for Developers

Instructeur : Board Infinity

Inclus avec

4 modules

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

niveau Débutant

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

4 modules

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

niveau Débutant

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Build Q&A, chatbot, and code generation apps using DeepSeek models and practical Python tools.
Apply DeepSeek for document summarization, long-context analysis, and mathematical reasoning in real-world projects.
Create task-specific AI agents, compare DeepSeek’s performance and pricing with OpenAI, Claude, and Gemini, and interpret benchmark results.
Customize, fine-tune, and evaluate DeepSeek models using advanced features like GRPO, MoE, quantized models, and DeepEval metrics.

Compétences que vous acquerrez

Catégorie : Text Mining
Catégorie : Model Evaluation
Catégorie : LLM Application
Catégorie : Generative AI Agents

Outils que vous découvrirez

Catégorie : LangChain
Catégorie : Application Programming Interface (API)
Catégorie : DeepSeek API
Catégorie : Deepseek

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

16 devoirs

Enseigné en Anglais

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Il y a 4 modules dans ce cours

The AI Development with DeepSeek for Developers course is a hands-on guide to building real-world AI applications using DeepSeek's open-source models—no prior experience required. Designed for developers, students, ML engineers, and tech enthusiasts, this course combines conceptual overviews with practical projects, delivered through Jupyter notebooks and popular Python libraries like LangChain, Streamlit, Promptify, DSPy, and DeepEval.

Start by exploring DeepSeek’s ecosystem, accessing V3, R1, and Coder models via web and API, and building your first Q&A app. Next, apply DeepSeek to real-world tasks—summarizing documents, generating code, building interactive Q&A systems, and advanced reasoning. Then, create task-specific AI agents, compare DeepSeek’s performance and pricing with leading LLMs, and interpret benchmark results. Finally, explore DeepSeek’s unique features—GRPO, Mixture-of-Experts architecture, quantized models, and fine-tuning options for custom use cases. By the end, you will be able to: - Build Q&A, chatbot, and code generation apps using DeepSeek and Python tools. - Apply DeepSeek for summarization, coding, and advanced reasoning in real projects. - Create and compare AI agents, analyze model performance, and interpret benchmarks. - Customize and evaluate DeepSeek models for your own use cases, leveraging open-source features. Whether you’re starting your AI journey or expanding your toolkit, this course will help you confidently build and deploy practical AI solutions with DeepSeek. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Deepseek or any of its subsidiaries or affiliates. This course is not an official preparation material of Deepseek. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.

In the first module, you’ll get introduced to DeepSeek’s open-source model ecosystem and learn how to access and use the models via the web interface and API. You’ll explore the differences between DeepSeek-V3, R1, and Coder, and build your first simple app using Promptify and Streamlit. This module builds your foundation for hands-on work with the models.

Inclus

13 vidéos4 lectures4 devoirs1 sujet de discussion

13 vidéos Total 57 minutes

Course Welcome Video! 1 minute
What is DeepSeek? 5 minutes
Accessing DeepSeek via Web Interface 6 minutes
Introduction to DeepSeek Models 5 minutes
Setting Up a DeepSeek Account 6 minutes
Introduction to DeepSeek’s API 6 minutes
Setting Up API Authentication 4 minutes
Using Promptify for Better Prompts 4 minutes
Building a Simple Q&A App with Streamlit 5 minutes
DeepSeek-V3: General-Purpose Model 4 minutes
DeepSeek-R1: Reasoning-Focused Model 4 minutes
DeepSeek-Coder: Programming Assistant 4 minutes
Choosing the Right Model 4 minutes

4 lectures Total 60 minutes

Syllabus 15 minutes
Read More About DeepSeek: Models, Access, and Use Cases 15 minutes
Read More About DeepSeek API: From First Calls to Full Q&A Apps 15 minutes
Read More About DeepSeek Model Variants: V3, R1, and Coder in Action 15 minutes

4 devoirs Total 150 minutes

Practice Quiz: Introduction to DeepSeek 30 minutes
Practice Quiz: Using DeepSeek via API 30 minutes
Practice Quiz: Understanding DeepSeek Model Types 30 minutes
Graded Quiz: Getting Started with DeepSeek Models 60 minutes

1 sujet de discussion Total 10 minutes

Meet and Greet 10 minutes

This module focuses on applying DeepSeek to solve real-world tasks. You’ll use DeepSeek models for document retrieval, summarization, code generation, and building interactive Q&A systems. This module blends conceptual understanding with implementation using LangChain, DSPy, and Jupyter notebooks.

Inclus

9 vidéos3 lectures4 devoirs

9 vidéos Total 48 minutes

Retrieval-Augmented Generation (RAG) 7 minutes
Text Summarization 6 minutes
Long-Context Document Analysis 6 minutes
Question Answering (Q&A) Systems 6 minutes
Conversational AI with DSPy 6 minutes
Building a Q&A App with Streamlit 5 minutes
Code Generation 5 minutes
Code Explanation 4 minutes
Mathematical Reasoning 4 minutes

3 lectures Total 45 minutes

Read More About Retrieval & Summarization with DeepSeek 15 minutes
Read More About Interactive Q&A Systems with DeepSeek 15 minutes
Read More About Coding & Technical Applications with DeepSeek 15 minutes

4 devoirs Total 150 minutes

Practice Quiz: Retrieval and Summarization 30 minutes
Practice Quiz: Interactive Q&A Systems 30 minutes
Practice Quiz: Coding and Technical Applications 30 minutes
Graded Quiz: Applications of DeepSeek Models 60 minutes

In the third module, you’ll build practical task-based agents using DeepSeek and LangChain. You’ll also evaluate how DeepSeek compares with other leading models like GPT-4o, Claude, and Gemini in terms of pricing, benchmark performance, and capabilities. This module gives you insight into model selection and real-world deployment tradeoffs.

Inclus

9 vidéos3 lectures4 devoirs

9 vidéos Total 44 minutes

What Are AI Agents? 5 minutes
Why DeepSeek for Agents? 6 minutes
Setting Up LangChain with DeepSeek 5 minutes
Research Agents 5 minutes
Conversational Agents 5 minutes
Overview of Model Comparisons 6 minutes
Pricing Comparison 4 minutes
Performance on Benchmarks 4 minutes
LMArena Positioning 5 minutes

3 lectures Total 45 minutes

Read More About AI Agents with DeepSeek 15 minutes
Read More About Building DeepSeek Agents for Research & Conversation 15 minutes
Read More About DeepSeek vs. Top AI Models 15 minutes

4 devoirs Total 180 minutes

Practice Quiz: Introduction to Agents 30 minutes
Practice Quiz: Building Task-Specific Agents 30 minutes
Practice Quiz: Comparing DeepSeek with Other Models 60 minutes
Graded Quiz: Agents and Model Comparisons with DeepSeek 60 minutes

In the final module, you’ll explore DeepSeek’s unique innovations — from Guided Roleplay Optimization (GRPO) and Mixture-of-Experts to fine-tuning and quantized models for efficient inference. You’ll also use tools like DeepEval to assess model output quality and benchmark performance. This module helps you understand DeepSeek’s strengths and customization potential.

Inclus

11 vidéos3 lectures4 devoirs

11 vidéos Total 50 minutes

What Makes DeepSeek Stand Out? 5 minutes
Guided Roleplay Optimization (GRPO) 4 minutes
Multi-Stage Training in DeepSeek-R1 5 minutes
Mixture-of-Experts (MoE) Architecture 6 minutes
DeepSeek’s Reasoning Edge 6 minutes
Leveraging 128K Context for Reasoning 5 minutes
Evaluating Outputs with DeepEval 5 minutes
Benchmark Insights 5 minutes
Basics of Fine-Tuning DeepSeek 5 minutes
Quantized Models for Easier Inference 3 minutes
Course Closure - Gratitude ! 1 minute

3 lectures Total 45 minutes

Read More About DeepSeek’s Innovative Training Methods 15 minutes
Read More About DeepSeek's Reasoning and Evaluation Methods 15 minutes
Read More About Customization and Quantization in DeepSeek 15 minutes

4 devoirs Total 150 minutes

Practice Quiz: DeepSeek’s Unique Training Methods 30 minutes
Practice Quiz: Reasoning and Evaluation 30 minutes
Practice Quiz: Customization and Quantized Models 30 minutes
Graded Quiz: What’s Different About DeepSeek 60 minutes

Instructeur

Board Infinity

214 Cours 391 804 apprenants

Offert par

Board Infinity

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Foire Aux Questions

Yes, this course is designed for beginners and intermediates. You’ll get step-by-step guidance on using DeepSeek’s models and tools, with no prior AI or coding experience required.

You’ll learn to build Q&A and chatbot apps, summarize documents, generate code, create AI agents, and compare model performance—all using open-source DeepSeek models and popular Python libraries.

You’ll work with DeepSeek-V3, R1, and Coder models, as well as LangChain, Streamlit, Promptify, DSPy, DeepEval, and Jupyter notebooks for hands-on projects.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.