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Beginner No coding background required

Build Intelligent Agents Using DeepSeek & n8n

Learn to build no-code AI workflows, intelligent agents, document-processing automations, and production-ready systems using DeepSeek and n8n.

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17 hours of module time 4 modules · 45 video lessons Beginner · no code needed English · 10 languages available

Want a coach alongside the course? See 1:1 coaching
Mirza Rahim BaigAnalytics Lead, Flipkart · your coach
Introduction to the course · 3:34

Course 2 of 3 · Specialization

Build Intelligent Agents Using DeepSeek & N8N

Board Infinity · Mastering DeepSeek.ai: From Fundamentals to Advanced Skills

    Enroll on Coursera

    01 About the course

    A build-first course in no-code AI automation.

    This course gives you hands-on AI agent and workflow automation skills using n8n and DeepSeek. You start by understanding what workflow automation is, where it pays off, and how to get your own n8n environment running locally or in the cloud.

    From there you connect the tools real work flows through — DeepSeek, Gmail and Google Sheets — and learn to design intelligent workflows with triggers, nodes, LLMs, prompt engineering and AI agents.

    The middle of the course is a single build: workflows that receive emails, process PDFs, extract information, classify it, and send structured data to Google Sheets without anyone touching a keyboard.

    The last module is what separates a demo from a system — error handling, testing, deployment, monitoring and performance optimization. Every concept is demonstrated on screen first, then you rebuild it. No programming background is required.

    No-code approachBuild-firstSelf-pacedTechnical & non-technical learners

    Inside the course

    02 What you'll learn

    Four outcomes, all of them things you can do.

    These are the course's stated learning outcomes on Coursera — each one is assessed by the graded work in its module.

    Mirza Rahim Baig Teaches this course

    Mirza Rahim Baig

    Analytics Lead at Flipkart 10+ years in analytics & machine learning Across e-commerce and healthcare
    Machine learning AI automation Corporate trainer
    View LinkedIn profile
    03 Industry expertise

    Taught by real industry expertise, not theory.

    Mirza 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 build intelligent agents with DeepSeek and n8n, with no coding background required.

    Meet your instructor · 1:20

    04 Who it's for

    Built for people who want the automation, not the codebase.

    The course is designed for both technical and non-technical learners and does not require a programming background.

    05 Inside the course

    Four modules, from your first trigger to production.

    About 17 hours of module time end to end, fully self-paced — roughly 2 weeks at 10 hours per week.

    06 What you'll build

    Five working automations, not five slide decks.

    Every module ends with something that runs. By the end you have a portfolio of automations you can demo and talk through in an interview.

    07 From idea to production

    The nine moves the course teaches you to repeat.

    This is the loop you'll run on your own processes after the course — the same sequence the four modules walk you through.

    1:1 coaching · optional add-on

    Build your agents with someone in your corner.

    A dedicated coach who automates for a living — someone who can look at the workflow that has failed twelve times and tell you why.

    Book a demo session
    • A coach matched to your goal in 24 hours
    • A written roadmap you keep
    • Weekly sessions for as long as you want them

    60-minute demo session · 100% refundable · no obligation to continue

    Get unstuck in minutes

    The node that keeps erroring, explained by someone who has already debugged it.

    Your workflow read node by node

    Not just whether it runs today — whether it will still run next month.

    Practice beyond the quizzes

    Automations set for you, then reviewed, so the patterns turn into instinct.

    Aim it at a role

    Which automation path fits you — operations, product or AI implementation — and what to learn next.

    2,000+Industry coaches
    16Domains covered
    4.8/5Average coach rating
    48,000+Sessions delivered

    1:1 coaching is a separate Board Infinity service, not part of the Coursera course or its certificate. Coaching figures describe the Board Infinity coaching platform as a whole.

    08 Full syllabus

    Every lesson, reading and assignment.

    45 video lessons, 10 readings and 15 assignments across four modules. Expand a module to see the complete lesson list with running times.

    Lesson titles, running times and assessment names follow the current Coursera course page. Course content may be updated by the instructor.

    Take the full syllabus with you.

    Six-page PDF · every module, learning objective, reading and assignment · no email required

    09 Tools & skills

    The stack that runs modern automation.

    Four tools carry the whole course. You install them, connect them and keep using them from module one to production.

    Skills you leave with

    The skills Coursera lists for this course and its specialization context — each one earned by building something that runs.

    Shareable certificate

    Earn a career certificate

    Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

    The certificate is issued by Coursera on completion of the required assessments, under Coursera's current enrollment and certificate conditions.

    10 Career relevance

    Where these skills are in demand.

    Workflow automation and LLM integration have moved from a specialist skill to an expectation across operations, product and go-to-market teams. These are the roles this course's skills map onto.

    Roles these skills support

    Board Infinity does not guarantee employment, placement or any particular salary outcome. This section describes the roles the course's skills are relevant to — what you do with them is your work.

    11 Part of a specialization

    Course 2 of Mastering DeepSeek.ai.

    This course sits inside the three-course Mastering DeepSeek.ai: From Fundamentals to Advanced Skills Specialization. Each course stands on its own; taken together they move you from DeepSeek fundamentals to multi-platform agent building.

    12 FAQ

    Questions people actually ask.

    Enrollment, access, certificates and financial aid are all handled by Coursera under its current terms — check the course page for the details that apply to you.

    Want someone building this with you?

    Board Infinity 1:1 coaching pairs you with a practitioner while you take the course.

    See 1:1 coaching

    Ready to build your first intelligent agent?

    Learn how to automate real business workflows with n8n and DeepSeek—from your first trigger to a production-ready AI automation.

    Enroll on Coursera

    4 modules · 45 video lessons · 15 assignments · Beginner · approximately 2 weeks at 10 hours a week

    Beginner · 17h · 4 modules Enroll on Coursera
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