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6-week live online bootcamp
A live online AI marketing course for content writers, SEO professionals and digital marketers.
₹9,500 including all taxes
6 weeks · 30 live hours
Build an AI content engine and an SEO monitoring system.
Next intake: 16 November 2026 · No previous programming experience required.
THE BEST OF BOTH DISCIPLINES
MARKETING
Content writer
AI marketing engineer
AI ENGINEERING
Lead FDE
Works with multinational clientsRahul Pandita brings first-hand experience of moving from content writing into AI marketing engineering. Gaurav S is a Lead FDE working with multinational clients, bringing practical engineering experience to the course. Together, they teach you how to apply AI to marketing and understand the engineering behind it.
An AI marketing engineer builds and improves systems that use AI for marketing work. The role combines content, SEO and customer understanding with models, retrieval, APIs, automation and checks on output quality.
BuildAI Careers teaches this work through 6 weeks, 30 live hours, 2 instructors and 2 capstone projects.
Bring your marketing experience
Start with the fundamentals and work through practical examples. You'll learn how a system finds information, uses a model and checks its output.
You can then apply those ideas to briefs, articles, research and the search work you already understand.
Build a repeatable process for research, drafting and review.
Use AI for SEO, understand retrieval and AI search, and learn ways to monitor your content.
Apply AI in digital marketing and connect models to useful marketing automation workflows.
Your six-week curriculum
Learn the engineering concepts through the marketing problems they help solve. Each week combines live teaching with practical work.
WEEK 01
LLMs, transformers, tokens and model behaviour
Compare model responses to a marketing brief. Identify useful answers, missing evidence and errors.
Led by Gaurav S
WEEK 02
Embeddings, RAG, retrieval and AI citations
Create a small marketing knowledge collection and use it to answer questions with source references.
Led by Gaurav S
WEEK 03
AI in digital marketing, AI search and research-led content
Build a research-led content brief with a source list and a clear editorial review checklist.
Led by Rahul Pandita
WEEK 04
AI agents, APIs, MCP and harness engineering
Connect a model to a sample marketing workflow and test what happens when a tool fails.
Led by Gaurav S
WEEK 05
Research, drafting, source checks and review
Build your content-engine project, test it on a sample brief and improve it after review.
Led by Rahul Pandita & Gaurav S
WEEK 06
SEO monitoring, email automation and project integration
Demonstrate your SEO monitoring system and content engine. Explain their inputs, checks and failure handling.
Led by Rahul Pandita & Gaurav S
The work you'll build
Bring your learning together in two capstone projects. Build each workflow, test it and present your decisions.
CAPSTONE 01 / Content
Turn a brief and source material into a draft you can check. Connect research, writing and review, then test the result.
01 / THE INPUT
Audience: daily commuters
Tone: clear and practical
[1] Product specifications
18-litre capacity · 600g
[2] Brand writing guide
Simple language · factual claims
02 / THE WORKFLOW
Carry your everyday essentials in an 18-litre backpack that weighs 600g. [1]
Keep your daily carry simple, from the morning commute to the journey home. [2]
Source checks complete · editor review next
Your output: a working content workflow with source checks and human review before publication.
CAPSTONE 02 / Search
Bring search and content findings into a repeatable monitoring workflow. Organise changes so you can decide what needs attention.
01 / THE INPUT
Page titles · internal links
Current and previous crawl
Find missing titles.
Check broken internal links.
Group changes by priority.
02 / THE WORKFLOW
/guides/ai-briefsSuggested action: add a descriptive, unique page title.
/resources/seo-checklistSuggested action: replace the link with a working destination.
Findings organised · review and assign fixes
Your output: a monitoring workflow that produces findings you can review and act on.
Also included: a guided email-automation build using sample data, with a review step before sending.
What makes this course different
Learn from a content writer who has successfully moved into AI marketing engineering, alongside an AI engineer who leads international AI projects.
Marketing Leader · 15 years of experience
Rahul has successfully made the transition from content writer to AI marketing engineer. With 15 years in marketing, he understands your work and teaches you how to apply AI to content, research and SEO.
What he teaches: applying AI to content, original research, SEO and marketing workflows.
Meet Rahul Pandita → · View Rahul on LinkedIn ↗Gaurav has 15 years of IT experience, including roles at HCL, Accenture, HP and Wipro. His mentoring draws on hands-on engineering experience.
What he teaches: LLM fundamentals, retrieval, RAG, agents, APIs and harness engineering.
Built around your working week
Next intake starts 16 November 2026. All times below are Indian Standard Time (IST).
Monday to Friday
Morning: 9:00-10:00 AM IST
Evening: 10:00-11:00 PM IST
One hour each day for six weeks.
30 live hours
Saturday and Sunday
2.5 hours each day.
Exact timings before enrolment.
Five hours each week for six weeks.
30 live hours
Both options cover the same six-week curriculum. Practical assignments support your live classes.
Compare your options
| Course detail | BuildAI Careers | CEC IIT Roorkee × Futurense |
|---|---|---|
| Programme | AI Marketing Engineer course | PG Certificate in AI-Enabled Digital Marketing & MarTech |
| Published fee | ₹9,500 including all taxes | ₹1,40,000 + GST; ₹1,65,200 including tax |
| Duration | 6 weeks · 30 live hours | 6 months |
| Certificate | BuildAI Careers completion certificate | IIT Roorkee completion certificate |
| Learning focus | AI foundations, retrieval, content, SEO and practical automation | AI-enabled digital marketing and marketing technology |
See the Futurense programme and fee details ↗ for its full curriculum and current admission terms.
BuildAI Careers has trained 100+ students, with an 82% placement rate across its training programmes.
Before you join
Yes. This course is specifically designed for content writers, SEO professionals and digital marketers who want to develop AI engineering skills.
You don't need a computer science degree or previous programming experience.
We start with the fundamentals and gradually introduce technical concepts through practical examples. You'll learn how to build AI-powered marketing systems without having to become a full-time software developer.
Most AI tutorials teach you how to use a particular tool. We teach you how the technology behind those tools works.
You'll understand LLMs, RAG, embeddings, AI agents, APIs and harness engineering. You'll then apply these concepts to real marketing problems.
Our goal is to help you understand why a system works, how to build one and what to do when it fails.
The AI Marketing Engineering course fee is ₹9,500, including applicable taxes. Ask a course advisor for payment details and the next batch dates.
Rahul has successfully made the transition from content writer to AI marketing engineer. With 15 years in marketing, he understands your work and teaches you how to apply AI to content, research and SEO.
Gaurav is a Lead FDE working with multinational clients. He brings 15 years of IT experience, including roles at HCL, Accenture, HP and Wipro, to his hands-on teaching.
That is what makes this course different. You get the best of both disciplines: practical marketing experience and AI engineering expertise in one programme.
Free tutorials can be a useful way to learn a tool. If you want to write an article with Claude, make a presentation with Gamma or try building an application with Codex, there is plenty you can learn for free.
This course teaches the foundations behind those tools. You'll understand how language models work, how AI systems retrieve information, how agents interact with tools and how to test a system when it fails.
You'll apply that knowledge to content, research, SEO and marketing workflows in live classes with instructors from both marketing and AI engineering.
Models and tools will change. Understanding the technology gives you a way to assess new tools and build on what you already know. That's the value of the ₹9,500 course.
The course includes 30 live hours over 6 weeks, plus hands-on exercises. Ask about weekday and weekend batch timings.
An AI marketing engineer builds and improves systems that use AI for marketing work. The role combines content, SEO and customer understanding with models, retrieval, APIs, automation and checks on output quality.
Yes. BuildAI Careers provides a course completion certificate. The course includes practical assignments and two capstone projects to help you demonstrate what you have learned.
Yes. The course includes placement assistance, resume review and interview preparation. You will also get guidance on presenting your projects and explaining your work to employers.
Yes. Class recordings are included, so you can revisit a lesson or catch up after a missed session. Use the recordings alongside the practical assignments and ask your mentors about anything you need help with.
Refund eligibility depends on the programme start date and the sessions already delivered. Approved refunds are returned to the original payment method within 14 business days, subject to payment-provider processing. Registration fees, third-party exam fees and custom corporate deposits are generally non-refundable unless agreed in writing. Read the refund policy before enrolling.
You need a laptop or desktop, a reliable internet connection and a current web browser. You will work with AI models, documents, spreadsheets and automation tools during the course. Ask the course advisor about account setup and any optional paid tools before buying subscriptions. No previous programming experience is required.
The next intake starts on 16 November 2026. Weekday options are Monday to Friday, 9:00–10:00 AM or 10:00–11:00 PM IST. Weekend classes run on Saturday and Sunday for 2.5 hours per day; exact weekend timings are confirmed before enrolment. Both options cover 30 live hours over six weeks.
Take your next step
Ask about the curriculum, batch timings or how the course fits your experience.
AI Marketing Engineer course: 6 weeks, 30 live hours, practical content and SEO projects. ₹9,500 including taxes. Next intake: 16 November 2026.
Gaurav S — Lead FDE, working with multinational clients (15 years of IT experience; previously at HCL, Accenture, HP and Wipro)
Ask about project feedback, the teaching approach and the support available for your course.
View Gaurav’s profile →Share your details. A course adviser will help you choose a course and explain the fees and batch dates.