Build, don’t just watch
13 assignments across 3 modules, with hands-on applications
Learn to develop, integrate and scale AI-powered solutions using DeepSeek APIs, local setup, developer tools, RAG pipelines, embeddings and AI agents.
By Board Infinity · Offered on Coursera
13 assignments across 3 modules, with hands-on applications
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This hands-on course will teach you how to develop, integrate and scale AI-powered solutions using DeepSeek.
You work with DeepSeek APIs, local DeepSeek setups, and developer tools including VS Code and Cursor — then use them inside real developer workflows: code generation, testing, documentation and debugging.
From there the course moves into RAG, embeddings and AI agents, so the models stop being a chat window and start being part of an application you ship.
The progression is deliberate: understand DeepSeek and its setup options first, then apply it across software development workflows, and finally build real-world applications and decide what belongs in production.
Basic familiarity with programming concepts and APIs is helpful, but no advanced coding is required — and no prior AI experience is needed.
The learning outcomes listed for this course on Coursera.
Teaches this course
Rahim Baig has spent over a decade in advanced analytics and machine learning across e-commerce and healthcare, and currently leads analytics at Flipkart. In this course you learn to develop, integrate and scale AI-powered solutions with DeepSeek APIs, local setup, developer tools, RAG pipelines, embeddings and AI agents.
About 13 hours end to end, fully self-paced. Every module lists its description, exactly what is inside it, and every lesson with its length.
Module and lesson details are taken from the course page on Coursera and may be updated there by the instructor.
The tools and skills listed for this course on Coursera.
Software the course works with in its lessons, demos and FAQ. These are the environments you build in — they are not part of the official skills list.
The four cards above are the tools Coursera lists for this course. The chips here are additional technologies the course content and FAQ explicitly work with, listed separately so the official list stays accurate.
The nine skills listed on the Coursera course page, grouped by where they show up in the course.
The practical applications the course builds toward.
The course applies DeepSeek at each stage of building software — not just at the prompt.
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Coursera lists a shareable certificate for this course. The certificate is issued through Coursera on completion.
A certificate you can post, link and attach wherever it counts.
It belongs under Licenses & Certifications on your profile.
13 assignments, including a graded quiz at the end of every module.
The same work moves you through Mastering DeepSeek.ai.
Areas of work that draw on what this course teaches. This course builds skills — it does not by itself qualify you for a specific role, and Board Infinity makes no employment guarantee.
Not a comparison against other courses or other models — just the difference between reading about the concepts and building with them. Every claim below is something this course actually does.
This course is part of the Mastering DeepSeek.ai: From Fundamentals to Advanced Skills Specialization. Finishing it moves you through that specialization on Coursera.
A dedicated coach who builds with these tools for a living — someone who can look at the pipeline that is not returning what you expect and tell you why.
Book a demo session60-minute demo session · 100% refundable · no obligation to continue
The API error or empty retrieval you have stared at for an hour, explained.
Not just whether the pipeline runs — whether you would ship it.
Problems set for you, then reviewed, so the workflow turns into fluency.
Which path fits you — AI integration, backend or agent development.
Everything learners ask before enrolling, answered plainly.
Learn how to turn DeepSeek into practical AI applications, intelligent agents, RAG workflows and production-ready development workflows.
Intermediate · 3 modules · ≈ 13 hours · flexible schedule · shareable certificate