Building Applications with DeepSeek

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Building Applications with DeepSeek

This course is part of Mastering DeepSeek.ai: From Fundamentals to Advanced Skills Specialization

Instructors: Board Infinity

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

14 hours to complete

3 weeks at 4 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

14 hours to complete

3 weeks at 4 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Build AI-powered applications using DeepSeek’s API, local setup, and developer tools for real-world software solutions.
Create intelligent agents and bots using embeddings, RAG pipelines, and task-based automation workflows.
Apply DeepSeek across the software development lifecycle to generate code, fix errors, and enhance test coverage.
Implement end-to-end AI development workflows using DeepSeek by combining setup, generation, evaluation, and deployment strategies.

Skills you'll gain

Details to know

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This course is part of the Mastering DeepSeek.ai: From Fundamentals to Advanced Skills Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

Course Description

Want to build smarter applications faster? This hands-on course will teach you how to develop, integrate, and scale AI-powered solutions using DeepSeek. With tools like VS Code, Cursor, and DeepSeek APIs, you'll gain practical skills to streamline code generation, testing, documentation, and agent-based workflows—no prior AI experience required. In the first module, you'll get introduced to DeepSeek’s capabilities, setup options, and developer benefits, including how to run it via API or locally. The second module explores how to apply DeepSeek across the software development lifecycle—from generating code and writing tests to automating CI/CD tasks. In the final module, you'll build smart applications using RAG pipelines, embeddings, and AI agents, and finish with a checklist for production readiness. By the end, you will: -Build AI-powered applications using DeepSeek’s API, local setup, and developer tools for real-world software solutions. -Create intelligent agents and bots using embeddings, RAG pipelines, and task-based automation workflows. -Apply DeepSeek across the software development lifecycle to generate code, fix errors, and enhance test coverage. This course is ideal for: -Developers exploring AI tools for real-world application -Backend engineers looking to automate workflows -Technical leads or devs building smart features into apps -Anyone curious about practical uses of AI in software development Get ready to supercharge your development process with DeepSeek—one line of smart code at a time.

This module lays the groundwork for developers to begin working with DeepSeek, offering a clear understanding of the platform’s key capabilities, model offerings, and integration pathways. It begins with an introduction to DeepSeek's position in the AI ecosystem, highlighting its performance advantages, cost efficiency, and transparency compared to other AI solutions. Learners will explore how to access DeepSeek through various channels—such as web apps, APIs, and local instances—and gain insight into different model types like V3, R1, and Janus Pro. The module also addresses common misconceptions around DeepSeek’s origin, security, and licensing, enabling developers to make informed decisions. By the end of this module, learners will be fully equipped to explore and engage with DeepSeek for technical use.

What's included

10 videos4 readings4 assignments1 discussion prompt1 plugin

10 videosTotal 59 minutes

Course Introduction!2 minutesPreview module
Meet your Instructor1 minute
What is DeepSeek? Overview and Vision7 minutes
Why Choose DeepSeek Over Other Models?4 minutes
DeepSeek Benefits to Developers4 minutes
Personal growth with DeepSeek4 minutes
Value Across the Development Lifecycle5 minutes
Using DeepSeek: Web Many ways to access8 minutes
DeepSeek API Overview: How It Works8 minutes
Running DeepSeek Locally: Tools & Requirements11 minutes

4 readingsTotal 60 minutes

Syllabus15 minutes
Read More About DeepSeek AI, Open-Source Power, and the Future of Large Language Models15 minutes
Read More About Exploring DeepSeek‑R1 in Real Life, Personal Growth, and SDLC Best Practices15 minutes
Read More About How to Use DeepSeek: From APIs to Private & Offline Setups15 minutes

4 assignmentsTotal 150 minutes

Graded Quiz: Getting Started with DeepSeek for Developers60 minutes
Practice Quiz: Understanding DeepSeek and Its Edge30 minutes
Practice Quiz: Why Developers Choose Deepseek30 minutes
Practice Quiz: Accessing and Running DeepSeek30 minutes

1 discussion promptTotal 10 minutes

Meet and Greet10 minutes

1 pluginTotal 5 minutes

Exploring DeepSeek: AI Model Vision, Value & Open-Source Advantage5 minutes

This module guides learners through the process of integrating DeepSeek into real-world applications, showcasing its adaptability across a range of development environments. Beginning with a breakdown of how to interact with DeepSeek models programmatically, the module dives into use cases like text generation, summarization, and agent-based workflows. Learners will explore how to connect DeepSeek with mobile apps, web services, automation platforms, and custom toolchains. The lessons focus on API usage, prompt engineering techniques, latency considerations, and design best practices. By the end of this module, developers will be equipped to confidently embed DeepSeek’s capabilities into end-to-end application workflows and deliver AI-powered functionality at scale.

What's included

13 videos3 readings4 assignments

13 videosTotal 86 minutes

Running DeepSeek: APIs10 minutesPreview module
Running DeepSeek: Local hosting11 minutes
Choosing a Setup: When to Use What6 minutes
Setting up your environment (Cursor/VS Code)7 minutes
Case study - DeepSeek across SDLC3 minutes
Setting up Cursor 7 minutes
Code Generation7 minutes
Improving our application 5 minutes
Intelligent Debugging and Error Fixes5 minutes
Writing and executing tests using DeepSeek 6 minutes
Generating Technical Documentation 4 minutes
Translating Code Between Programming Languages 5 minutes
Reviewing Pull Requests5 minutes

3 readingsTotal 45 minutes

Read More About DeepSeek Deployment & Dev Workflow: Ollama, API Access, and Cursor Migration15 minutes
Read More About Scaling DeepSeek: From Open-Source LLMs to Real-World AI & Automation Platforms15 minutes
Read More About Advanced DeepSeek Use Cases: Testing, RAG Assistants & Developer Workflow Integration15 minutes

4 assignmentsTotal 150 minutes

Graded Quiz: Application Development with DeepSeek60 minutes
Practice Quiz: Setting Up Your Development Environment30 minutes
Practice Quiz: DeepSeek Across the Development Lifecycle30 minutes
Practice Quiz: Enhancing Software Quality with DeepSeek30 minutes

This final module focuses on extracting strategic value from DeepSeek through real-world case studies and high-impact implementation patterns. Learners will explore how organizations across industries—from finance to education—are using DeepSeek to drive innovation, automate workflows, and enhance user experiences. The module emphasizes practical insights, such as overcoming integration challenges, measuring ROI, and aligning AI solutions with business goals. In addition, it addresses frequently asked questions and offers guidance for continued learning and experimentation. By the end, learners will have a clear roadmap for applying DeepSeek effectively in diverse contexts and driving measurable outcomes.

What's included

15 videos3 readings5 assignments

15 videosTotal 101 minutes

Understanding Embeddings6 minutesPreview module
Using DeepSeek as an Embedding Model8 minutes
Testing the Embeddings5 minutes
Embedding Use Cases4 minutes
What is RAG and Why It Matters5 minutes
Understanding the RAG pipeline6 minutes
Optimizing RAG Workflows for Performance4 minutes
Hands-On: Building a RAG-Based Bot Pt 113 minutes
Hands-On: Building a RAG-Based Bot Pt 215 minutes
Introduction to AI Agents9 minutes
Building Task-Based AI Agents with DeepSeek1 minute
Hands-On: A Demo AI Assistant in Action11 minutes
Key Learnings Recap: From Setup to Deployment1 minute
Checklist for Building Production-Ready AI Applications4 minutes
Course Closure!0 minutes

3 readingsTotal 45 minutes

Read More About Working with Embeddings: DeepSeek, ChromaDB & LangChain for Scalable AI Applications15 minutes
Read More About Mastering RAG: Concepts, Chatbot Pipelines & DeepSeek R1 Integration15 minutes
Read More About Building Intelligent AI Agents: Concepts, Architectures & Enterprise Workflows15 minutes

5 assignmentsTotal 180 minutes

Graded Quiz: Real-World Applications and Strategic Takeaways60 minutes
Practice Quiz: Using DeepSeeks Embeddings30 minutes
Practice Quiz: Retrieval-Augmented Generation (RAG) with DeepSeek30 minutes
Practice Quiz: Creating AI Agents Using DeepSeek30 minutes
Practice Quiz: Course Wrap-Up and Developer Takeaways30 minutes

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Instructors

Board Infinity

164 Courses258,751 learners

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Board Infinity

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Frequently asked questions

Basic familiarity with programming concepts and APIs is helpful, but no advanced coding is required. The course uses tools like DeepSeek, n8n, LMStudio, Cursor AI, VS code and Google Colab with guided examples and no-code/low-code options.

DeepSeek is an open-source LLM that developers can run locally or via API, offering more control, customization, and privacy. Unlike ChatGPT, it’s designed for deeper integration into dev workflows like debugging, testing, and RAG-based applications.

The course is designed to be completed in 3-4 weeks with 2-4 hours of learning per week. It’s self-paced, so you can adjust based on your availability.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. 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.

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. If you only want to read and view the course content, you can audit the course for free.