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.

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

GTM data & enrichment

Build and enrich target lists, the data layer that sits under every modern marketing motion.

Inside the module

Waterfall enrichment across 200+ data providers
TAM sourcing and account mapping
CRM hygiene, dedupe, and lead scoring
Signal tracking: job changes, promotions, intent

Tools used

Enrichment & data platformsCRM systems

Cold email infrastructure & deliverability

Stand up sending infrastructure and protect inbox placement, the load-bearing plumbing behind every campaign.

Inside the module

Sending domains and mailbox provisioning at scale
SPF, DKIM, DMARC, and DNS setup
Warm-up procedures and domain reputation
Inbox-placement diagnostics, verification, remediation

Tools used

Sending infrastructureDeliverability & warm-up tools

AI-driven outbound & SDR execution

Run multi-channel sequences with AI personalisation, at volume, the daily work of a modern outbound team.

Inside the module

Email, LinkedIn, phone, and SMS sequences
AI personalisation that reads human, at volume
Reply handling, routing, and hand-offs
Appointment setting and meeting hand-over

Tools used

AI SDR platformsMulti-channel sequencers

Technical & programmatic SEO

Research, publish, and refresh content at scale, engineering throughput with editorial quality.

Inside the module

Keyword and buyer-intent research
Competitive gap analysis
Publishing and refreshing pages at scale
Internal linking and backlink strategy

Tools used

SEO suitesContent-ops tooling

Answer Engine Optimisation (AEO / GEO)

Grow brand visibility inside AI answer engines like ChatGPT, Perplexity and Gemini, the fastest-emerging search surface.

Inside the module

Track brand citations across AI answer engines
Optimise content to get cited, not just ranked
Monitor AI-crawler traffic to the brand's site
Benchmark AI visibility against competitors

Tools used

AI-visibility platformsAnswer-engine trackers

AI content production at scale

SERP-backed long-form and creative with AI drafting plus human review, quality at volume.

Inside the module

Competitor- and SERP-backed long-form
Thought-leadership and creative assets
AI drafting with human review and evals
Brand-safe quality control at volume

Tools used

Large language modelsContent-optimisation tools

GTM engineering & agentic workflows

Chain enrichment, research and outreach into automated, multi-step plays.

Inside the module

Multi-step plays: enrichment → research → outreach
Workflow builders and MCP tool integrations
Build and ship a working agent
Orchestration and hand-off patterns

Tools used

Workflow buildersMCP tool integrations

RevOps, attribution & reporting

Connect spend to pipeline and make the numbers legible, the part most teams underinvest in.

Inside the module

Unify CRM, web, and intent data
Attribution that survives a real funnel
Lead routing that doesn't rot in six months
Dashboards that actually get read

Tools used

CRM & attributionBI dashboards

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.