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.
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 deepsek. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
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.
Read More About DeepSeek AI, Open-Source Power, and the Future of Large Language Models•15分钟
Read More About Exploring DeepSeek‑R1 in Real Life, Personal Growth, and SDLC Best Practices•15分钟
Read More About How to Use DeepSeek: From APIs to Private & Offline Setups•15分钟
4个作业•总计105分钟
Practice Quiz: Understanding DeepSeek and Its Edge•15分钟
Practice Quiz: Why Developers Choose Deepseek•15分钟
Practice Quiz: Accessing and Running DeepSeek•15分钟
Graded Quiz: Getting Started with DeepSeek for Developers•60分钟
1个讨论话题•总计10分钟
Where Could AI Make the Biggest Difference in Your Work?•10分钟
1个插件•总计15分钟
Quick Course Check-In•15分钟
Application Development with DeepSeek
第 2 单元•小时 后完成
单元详情
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.
涵盖的内容
13个视频3篇阅读材料4个作业
显示有关单元内容的信息
13个视频•总计86分钟
Running DeepSeek: APIs•10分钟
Running DeepSeek: Local hosting•12分钟
Choosing a Setup: When to Use What•6分钟
Setting up your environment (Cursor/VS Code)•7分钟
Case study - DeepSeek across SDLC•3分钟
Setting up Cursor •7分钟
Code Generation•7分钟
Improving our application •6分钟
Intelligent Debugging and Error Fixes•5分钟
Writing and executing tests using DeepSeek •6分钟
Generating Technical Documentation •5分钟
Translating Code Between Programming Languages •6分钟
Reviewing Pull Requests•5分钟
3篇阅读材料•总计45分钟
Read More About DeepSeek Deployment & Dev Workflow: Ollama, API Access, and Cursor Migration•15分钟
Read More About Scaling DeepSeek: From Open-Source LLMs to Real-World AI & Automation Platforms•15分钟
Read More About Advanced DeepSeek Use Cases: Testing, RAG Assistants & Developer Workflow Integration•15分钟
4个作业•总计105分钟
Practice Quiz: Setting Up Your Development Environment•15分钟
Practice Quiz: DeepSeek Across the Development Lifecycle•15分钟
Practice Quiz: Enhancing Software Quality with DeepSeek•15分钟
Graded Quiz: Application Development with DeepSeek•60分钟
Real-World Applications and Strategic Takeaways
第 3 单元•小时 后完成
单元详情
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.
涵盖的内容
15个视频3篇阅读材料5个作业1个讨论话题
显示有关单元内容的信息
15个视频•总计101分钟
Understanding Embeddings•7分钟
Using DeepSeek as an Embedding Model•8分钟
Testing the Embeddings•6分钟
Embedding Use Cases•4分钟
What is RAG and Why It Matters•6分钟
Understanding the RAG pipeline•7分钟
Hands-On: Building a RAG-Based Bot Pt 1•13分钟
Hands-On: Building a RAG-Based Bot Pt 2•15分钟
Optimizing RAG Workflows for Performance•5分钟
Introduction to AI Agents•10分钟
Building Task-Based AI Agents with DeepSeek•2分钟
Hands-On: A Demo AI Assistant in Action•11分钟
Key Learnings Recap: From Setup to Deployment•2分钟
Checklist for Building Production-Ready AI Applications•5分钟
Course Closure!•1分钟
3篇阅读材料•总计45分钟
Read More About Working with Embeddings: DeepSeek, ChromaDB & LangChain for Scalable AI Applications•15分钟
Read More About Mastering RAG: Concepts, Chatbot Pipelines & DeepSeek R1 Integration•15分钟
Read More About Building Intelligent AI Agents: Concepts, Architectures & Enterprise Workflows•15分钟
5个作业•总计120分钟
Practice Quiz: Using DeepSeeks Embeddings•15分钟
Practice Quiz: Retrieval-Augmented Generation (RAG) with DeepSeek•15分钟
Practice Quiz: Creating AI Agents Using DeepSeek•15分钟
Practice Quiz: Course Wrap-Up and Developer Takeaways•15分钟
Graded Quiz: Real-World Applications and Strategic Takeaways•60分钟
1个讨论话题•总计10分钟
Check-In: From AI Basics to Real Applications•10分钟
Board Infinity is a full-stack career platform, founded in 2017 that bridges the gap between career aspirants and industry experts. Our platform fosters professional growth, delivering personalized learning experiences, expert career coaching, and diverse opportunities to help individuals fulfill their career dreams. Board Infinity has successfully facilitated over 20,000 career transitions, marking a significant impact in the career development landscape.
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.
What exactly is DeepSeek and how is it different from ChatGPT?
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.
How long will the course take to complete?
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.
Will I be able to build a real project?
Yes! You’ll build AI-powered applications, such as a RAG-based chatbot, a PDF summarizer, a task-specific AI agent using DeepSeek and n8n and even a Python based web-app using GenAI for the full development. These projects are directly applicable to real-world business use cases.
Can I run DeepSeek on my own computer?
Absolutely. The course teaches you how to run DeepSeek locally using your system, or access it via API. You’ll choose the setup that best suits your use case and machine capabilities.
What skills will I walk away with?
You’ll gain skills in prompt engineering, embedding models, workflow automation, AI integration, and RAG pipelines. These are highly relevant for roles in AI development, automation, and product engineering.
Can I take this course alongside a full-time job or studies?
Definitely! The course is fully self-paced, and you can watch short video lessons and complete projects at your own convenience. It’s flexible enough to fit into a busy schedule.
When will I have access to the lectures and assignments?
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.
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.