Udemy

[2026] AI Go-To-Market: Growth Engineering Masterclass

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  • 153 Students
  • Updated 3/2025
4.2
(25 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 46 Minute(s)
Language
English
Taught by
Shivank Sharma
Rating
4.2
(25 Ratings)
1 views

Course Overview

[2026] AI Go-To-Market: Growth Engineering Masterclass

PQS, FIND framework, Clay workflows, agentic outbound, founder-led sales — the GTM engineering system for AI products

You built an AI product. Now what?


Most AI products die not because the tech is bad — but because the GTM is broken. This course fixes that.


Built by a founder who has done it — from scaling AI-native products at Quboid to launching AI risk insurance at Keel — this is the exact playbook used to close enterprise deals, build partner channels, and go from zero to paying customers.


What you will learn:


Pain Qualified Segments (PQS): Why ICP is dead. How to find buyers who are actively experiencing the pain you solve — not just people who fit a demographic profile.


The FIND Framework: Focus, Investigate, Narrate, Deploy — Jordan Crawford's practitioner-level system for building AI outbound campaigns from scratch using Claude and Deep Research.


Clay and Data Enrichment Mastery: End-to-end Clay workflows — prospecting, waterfall enrichment, AI transforms, and CRM exports. The FETE framework (Find, Enrich, Transform, Export) applied to real campaigns.


Permissionless Value Propositions (PvP): How to write outreach that delivers value before asking for anything. Messaging that earns 3-5x higher reply rates than traditional outbound.


Agentic GTM Systems: Build autonomous AI agents that prospect, research, personalize, and qualify leads without human intervention. The shift from ChatGPT era to Claude Code era.


Founder-Led Sales for AI Products: Discovery calls, demo engineering, objection handling for AI-specific concerns, and LinkedIn as a pipeline channel.


Pipeline Analytics: Open the pipeline black box. Measure what actually drives revenue — not vanity MQLs.


This course is for:


AI startup founders stuck between great demo and actual revenue. GTM engineers and growth operators building outbound systems with Clay, HubSpot, and AI tools. B2B SaaS leaders launching AI features who need a repeatable go-to-market engine. Career switchers targeting the GTM Engineering role — the highest-demand growth role of 2026.


What makes this different:


No fluff. No 10 types of marketing channels slideshows. Every module includes real campaigns, real numbers, and downloadable templates you can deploy the same week.


Taught by an IIT Kharagpur alum who has built GTM engines across fintech, insurtech, loyalty, and AI — from Flipkart and OYO to founding multiple startups.


Stop building in a vacuum. Learn to sell what you have built.

Course Content

  • 10 section(s)
  • 86 lecture(s)
  • Section 1 Why AI GTM Is Different
  • Section 2 Understanding Your AI Buyer
  • Section 3 GTM Experimentation and Testing
  • Section 4 Conversion Engineering for AI Products
  • Section 5 Advanced GTM Plays
  • Section 6 AI Prompt Engineering for GTM
  • Section 7 Building Your AI GTM Strategy
  • Section 8 Bonus: Digital Marketing Foundations
  • Section 9 Bonus: Startup Resources
  • Section 10 Bonus: Extended Resource Library

What You’ll Learn

  • Identify Pain Qualified Segments (PQS) and build GTM motions around active buyer pain, Execute the FIND framework (Focus, Investigate, Narrate, Deploy) to launch AI outbound campaigns from scratch, Build end-to-end Clay workflows: prospecting, waterfall enrichment, AI transforms, and CRM exports, Design Permissionless Value Propositions (PvPs) that earn replies without pitching - achieving 3-5x higher response rates, Architect agentic GTM systems using Claude and GPT APIs that prospect, personalize, and qualify leads autonomously, Run founder-led sales for AI products: discovery calls, demo engineering, and LinkedIn as a pipeline channel


Reviews

  • A
    Aarav
    5.0

    amazing course..started off slow but then picked pace and overall becomes very practical..specifically how i wanted

  • A
    Adan Altamirano Moreno
    2.5

    Videos are not well edited some parts are cut, and at the instructor is basically reading what we can see on screen, there is no colour added to the information displayed (expanding on examples or more insights) which gives the impresion that he is not an expert on the subject.

  • M
    Mayra Orona
    3.0

    So far the examples are very old...

  • M
    Michela mozzati
    3.0

    L’accento del docente è molto forte, a volte si fa fatica a seguire il corso, le informazioni sono presentate bene in modo chiaro, ma per adesso le trovo abbastanza generiche e poco pratiche

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