Agentic Engineering for Marketing, a new course at NIAT

Why we’re running this course

The marketing stack changed.
The talent hasn’t caught up.

AI-native marketing services are the latest and fastest-growing category on the modern operator career map. Outbound, content, deliverability, and RevOps are being rebuilt around modern AI tooling, and the companies leading that rebuild are hiring differently.

This course is our response. It trains NIAT students not to describe the shift but to be deployed into it, inside a marketing team, inside an AI-native services company, or inside their own venture, from day one.

We call the outcome a forward deployed marketer, an operator who adds value against a live P&L, not a marketing generalist and not a junior engineer.

marketing-stack.agelive

The stack, in motion

Claude

ChatGPT

Perplexity

Gemini

Notion

Canva

Zapier

n8n

Grammarly

The deployed market

AI-native marketing services

What the course covers

The Modern Marketing Curriculum.

Five tracks, reverse-engineered from the service lines that real AI-native marketing companies actually sell today. Click any track to see the work and the tools inside.

Read the full curriculum & pricing model

Get Found — SEO + AEO/GEO

Get a brand ranked on Google and cited by ChatGPT, Perplexity and Gemini, and prove it.

Inside the module

Technical SEO, content that ranks and gets cited
AEO/GEO: schema, entity building, prompt-panel tracking
Digital PR and authority-building
Citation-rate reporting clients actually renew on

Tools used

SEO & AEO toolingCitation trackers

Convert — Websites + CRO

Ship fast, on-brand pages and prove the lift with a real experiment, not a guess.

Inside the module

AI-native and no-code page building
Conversion copywriting and instrumentation
Statistically valid A/B testing
Lift-in-dollars reporting

Tools used

No-code & AI buildersAnalytics & testing

Data Intelligence — Clay / enrichment

Build enriched, verified, signal-tagged lead systems that feed outreach and CRM.

Inside the module

Waterfall enrichment across dozens of providers
AI scoring and fit-qualification
Buying-signal detection and activation
Service delivery and account management

Tools used

Enrichment & data platformsSignal tools

Outreach — Deliverability + AI Outbound

Stand up sending infrastructure that lands in the inbox, then run AI-personalised outbound at scale.

Inside the module

Domain warm-up and deliverability engineering
AI-personalised, multi-channel sequences
Reply handling and meeting hand-off
Human-supervised, not black-box automation

Tools used

Sending infrastructureAI personalisation

AI Agents & GTM Engineering

Wire LLMs and tools into reliable automations, the AI-native layer under every other track.

Inside the module

n8n-based orchestration and workflow building
Clay waterfalls and agentic enrichment patterns
Reliability, evals and monitoring
The delivery layer under every other track

Tools used

Orchestration platformsLLM APIs

The course, at a glance

A 12-week program inside the new marketing stack.

Agentic Engineering for Marketing is a new course at NIAT that puts our best students inside the tooling, workflows, and delivery cadence of AI-native marketing services teams, the fastest-growing category on the modern operator career map.

Duration

12 weeks

Cohort

100 students

Format

Hands-on, taught by operators

Focus

AI-native marketing services

Live client work

Week 8+

Season 1

2026

Where students deploy

Real projects.
Real businesses.

Students take on live client engagements (paid work) running the same modern marketing services stack the course teaches. Small pods, weekly delivery cadence, revenue flowing to the students.

Real B2B clientsGrowth agenciesAI service teamsSmall businessesIn-house marketingTheir own venture

What NIAT students are already doing

Student achievements.

The course builds on a foundation NIAT students are already building. A snapshot of what our cohorts have shipped in the last two seasons.

View all outcomes

Internships

₹2.92 Crore

as internship stipends secured by NIAT students

Know more

OpenAI × NxtWave · 2026

₹3,50,000 won

at the OpenAI Academy × NxtWave Buildathon Grand Finale

Know more

National Bizhack

NIATian wins National Bizhack Challenge, secures

₹1 Lakh prize

Watch video

GSoC 2026

Google Summer of Code

NIATians accepted into GSoC as first-time contributors

Who teaches

Founders and operators from the top AI-native marketing services companies.

The course is being co-designed and co-taught by founders and senior operators from AI-native marketing services companies. Instructor names are announced ahead of Season 1.

Working operators Real delivery experience Names announced ahead of S1

Practitioners from

A sampling of the ecosystems our masterclass and adjunct instructors are drawn from.

Questions

Everything most people ask.

If it isn’t here, Get in touch.

01When does Season 1 start?

The first cohort begins in the 2026 academic year at NIAT campuses. Exact dates will be shared with applicants closer to selection.

02Who can apply?

The course is open to NIAT students screened for AI-native fluency, marketing instinct, and a track record of shipping projects. It is not open to students outside NIAT.

03What does the course cost?

There is no additional fee for selected students. Deployment work in Season 1 pays students directly. Revenue from client engagements flows to the pod.

04Who teaches the course?

The course is being co-designed and co-taught by founders and senior operators from AI-native marketing services companies. Instructor names will be announced ahead of Season 1.

05What is a “forward deployed marketer”?

Our term for the operator we're training: someone who can walk into a growth team, an AI-native services company, or their own venture and add value against a live P&L. Not a generalist, and not a junior engineer.

06What happens after the twelve weeks?

Top operators from Season 1 graduate into pod-lead roles for Season 2 and are actively surfaced to hiring partners. Others continue their studies at NIAT with a portfolio of live client work.

Agentic Engineering
for Marketing.

The marketing stack changed.
The talent hasn’t caught up.