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In diesem Kurs gibt es 3 Module
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 Minuten
Read More About Exploring DeepSeek‑R1 in Real Life, Personal Growth, and SDLC Best Practices•15 Minuten
Read More About How to Use DeepSeek: From APIs to Private & Offline Setups•15 Minuten
4 Aufgaben•Insgesamt 105 Minuten
Practice Quiz: Understanding DeepSeek and Its Edge•15 Minuten
Practice Quiz: Why Developers Choose Deepseek•15 Minuten
Practice Quiz: Accessing and Running DeepSeek•15 Minuten
Graded Quiz: Getting Started with DeepSeek for Developers•60 Minuten
1 Diskussionsthema•Insgesamt 10 Minuten
Where Could AI Make the Biggest Difference in Your Work?•10 Minuten
1 Plug-in•Insgesamt 15 Minuten
Quick Course Check-In•15 Minuten
Application Development with DeepSeek
Modul 2•4 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
13 Videos3 Lektüren4 Aufgaben
Infos zu Modulinhalt anzeigen
13 Videos•Insgesamt 86 Minuten
Running DeepSeek: APIs•10 Minuten
Running DeepSeek: Local hosting•12 Minuten
Choosing a Setup: When to Use What•6 Minuten
Setting up your environment (Cursor/VS Code)•7 Minuten
Case study - DeepSeek across SDLC•3 Minuten
Setting up Cursor •7 Minuten
Code Generation•7 Minuten
Improving our application •6 Minuten
Intelligent Debugging and Error Fixes•5 Minuten
Writing and executing tests using DeepSeek •6 Minuten
Generating Technical Documentation •5 Minuten
Translating Code Between Programming Languages •6 Minuten
Reviewing Pull Requests•5 Minuten
3 Lektüren•Insgesamt 45 Minuten
Read More About DeepSeek Deployment & Dev Workflow: Ollama, API Access, and Cursor Migration•15 Minuten
Read More About Scaling DeepSeek: From Open-Source LLMs to Real-World AI & Automation Platforms•15 Minuten
Read More About Advanced DeepSeek Use Cases: Testing, RAG Assistants & Developer Workflow Integration•15 Minuten
4 Aufgaben•Insgesamt 105 Minuten
Practice Quiz: Setting Up Your Development Environment•15 Minuten
Practice Quiz: DeepSeek Across the Development Lifecycle•15 Minuten
Practice Quiz: Enhancing Software Quality with DeepSeek•15 Minuten
Graded Quiz: Application Development with DeepSeek•60 Minuten
Real-World Applications and Strategic Takeaways
Modul 3•5 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
15 Videos3 Lektüren5 Aufgaben1 Diskussionsthema
Infos zu Modulinhalt anzeigen
15 Videos•Insgesamt 101 Minuten
Understanding Embeddings•7 Minuten
Using DeepSeek as an Embedding Model•8 Minuten
Testing the Embeddings•6 Minuten
Embedding Use Cases•4 Minuten
What is RAG and Why It Matters•6 Minuten
Understanding the RAG pipeline•7 Minuten
Hands-On: Building a RAG-Based Bot Pt 1•13 Minuten
Hands-On: Building a RAG-Based Bot Pt 2•15 Minuten
Optimizing RAG Workflows for Performance•5 Minuten
Introduction to AI Agents•10 Minuten
Building Task-Based AI Agents with DeepSeek•2 Minuten
Hands-On: A Demo AI Assistant in Action•11 Minuten
Key Learnings Recap: From Setup to Deployment•2 Minuten
Checklist for Building Production-Ready AI Applications•5 Minuten
Course Closure!•1 Minute
3 Lektüren•Insgesamt 45 Minuten
Read More About Working with Embeddings: DeepSeek, ChromaDB & LangChain for Scalable AI Applications•15 Minuten
Read More About Mastering RAG: Concepts, Chatbot Pipelines & DeepSeek R1 Integration•15 Minuten
Read More About Building Intelligent AI Agents: Concepts, Architectures & Enterprise Workflows•15 Minuten
5 Aufgaben•Insgesamt 120 Minuten
Practice Quiz: Using DeepSeeks Embeddings•15 Minuten
Practice Quiz: Retrieval-Augmented Generation (RAG) with DeepSeek•15 Minuten
Practice Quiz: Creating AI Agents Using DeepSeek•15 Minuten
Practice Quiz: Course Wrap-Up and Developer Takeaways•15 Minuten
Graded Quiz: Real-World Applications and Strategic Takeaways•60 Minuten
1 Diskussionsthema•Insgesamt 10 Minuten
Check-In: From AI Basics to Real Applications•10 Minuten
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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.