
My honest attempt to share how this course will change our lives for good
'Good' is always relative - to people, times, circumstances, etc. What is good for you, may not be it for someone else. What seems good today, may be useless tomorrow. More so in the AI world.
Best thing we can do is "commit"
I commit to improve this course every week - basis student feedbacks, new developments in AI, etc.
You should commit to "complete" the course.
Everything told in lecture 1, with slight more details
Meet your instructor — an IIT Kharagpur alum who has built GTM engines at Flipkart, OYO, and multiple AI startups. Learn about the real-world experience behind this course and what you can expect from the journey ahead.
Deep dive into Pain Qualified Segments (PQS) — the most powerful targeting framework for AI GTM. Learn to identify buyers who are actively experiencing the pain your product solves and need a solution now.
Go beyond basic ICPs to build Pain Qualified Segments (PQS) — buyers actively experiencing the problem your AI product solves. Master the segmentation framework that turns cold outreach into warm conversations.
Master the Signal-to-Pipeline framework for optimizing GTM conversion. Learn how to turn weak buyer signals into qualified pipeline and predictable revenue for AI products.
Discover techniques to build high-converting landing pages by optimizing the hero above the fold, refining CTAs, strengthening subheadings, and adding social proof.
Discover the 9 most common GTM conversion mistakes that AI startups make and learn exactly how to fix them. From misaligned messaging to poor onboarding flows, this lecture covers CRO best practices that can dramatically improve your signup-to-paid conversion rates.
Deep dive into the 6 essential conversion elements every AI product page needs: trust signals, social proof, compelling CTAs, clear value proposition, urgency, and risk reversal.
Explore the best AI-powered tools for GTM conversion optimization, including CRO platforms and automation solutions. Learn which tools top AI startups use to run A/B tests, personalize user experiences, and automate conversion workflows at scale.
Learn how to build AI-powered email marketing sequences that consistently convert prospects into customers. Covers automated drip campaigns, personalization at scale, behavioral triggers, and the exact email frameworks used by fast-growing AI GTM teams.
Understand the full AI product conversion funnel from first touch to closed revenue. Learn how each stage works differently for AI/SaaS products compared to traditional software.
Get 18 actionable conversion optimization tips specifically tailored for AI SaaS and B2B products. Learn data-driven techniques to optimize every stage of your funnel — from first touch to closed deal — with real examples from top-performing AI companies.
Learn how Airbnb scaled from an air mattress startup to a global marketplace using creative GTM tactics. This case study breaks down their early growth strategies and shows how to apply these same principles to AI product distribution in 2026.
Discover how Dropbox built one of the most successful viral referral loops in tech history and turned every user into a distribution channel. Learn what AI founders can replicate from this playbook to drive organic growth.
Explore how Hotmail grew to 12 million users in 18 months with a simple product-led distribution hack. Understand why embedding your product into existing user workflows is the most powerful GTM strategy for AI startups.
Learn why resourceful, creative GTM strategies consistently outperform big-budget marketing campaigns for AI startups. Discover frameworks for scrappy growth that maximize impact with minimal spend.
A comprehensive 40-minute crash course on Generative AI for GTM professionals. Covers foundational concepts, practical applications, tool selection, and implementation strategies to help you leverage GenAI across your entire go-to-market stack.
A full 60-minute product management crash course designed for GTM engineers. Master the essential PM skills needed to bridge the gap between product and go-to-market, including roadmap planning, feature prioritization, and cross-functional alignment.
Understand the three types of growth loops that power the fastest-growing AI products: viral loops, content loops, and product-led loops. Learn how to design and implement self-reinforcing growth engines that compound over time and reduce your CAC.
Learn how to build thriving communities around your AI product using Discord, Slack, and LinkedIn. Discover proven community-led growth strategies that drive organic adoption, reduce churn, and turn power users into brand advocates.
Explore product-led growth strategies including gamification mechanics and referral programs designed specifically for AI products. Learn how to build viral loops into your product experience that drive organic acquisition and boost retention.
Access a comprehensive collection of 50 battle-tested AI GTM frameworks and playbooks updated for 2026. From AARRR to PLG flywheel models, get ready-to-implement templates and strategies used by the most successful AI companies in the market today.
Learn how to automate your entire GTM workflow using no-code tools like Make, Zapier, and n8n. Build powerful automation pipelines that handle lead enrichment, outreach sequences, CRM updates, and reporting without writing a single line of code.
You can build a product in a weekend now. Getting people to use it, pay for it and keep coming back is the hard part.
ChatGPT, Claude, Lovable and coding agents have made building almost free. A founder with no engineering team can ship a working app in an afternoon. A PM can prototype a feature before the sprint planning meeting ends.
So why do most new products still fail?
Because the bottleneck moved. It's no longer "can we build it?" It's:
Who exactly is this for, and are they in enough pain to switch?
Will they pay, and at what price does the business actually make money?
Why did half our users disappear after the first week?
Where do users even come from now that people ask ChatGPT instead of Google?
This course answers those questions for October 2026, not for 2019.
What makes this course different
Most growth courses were written before AI changed everything. They teach Google Ads, SEO checklists and funnel diagrams that assume a world that no longer exists.
This course is built around how products are made and grown today:
You'll build with AI, not just read about it. You'll take an idea to a working prototype using Lovable, v0 and Claude Code, even if you've never written code.
You'll learn AI pricing properly. Seats, credits, usage and outcome-based pricing, and why pricing an AI product too cheaply quietly kills it.
You'll learn why AI products lose users and how to fix it. AI apps have a retention problem that normal software doesn't. You'll learn how to measure it honestly and the loyalty mechanics that keep users when competitors copy your features.
You'll learn the new distribution channels. Getting your product recommended by ChatGPT, Gemini and Perplexity. Getting discovered inside ChatGPT itself. Making your product easy for AI agents to find, use and buy.
You'll put AI agents to work on growth. You'll build a lead research agent in n8n, create signal-based prospect lists in Clay, and learn where AI SDRs work and where they fall apart.
You'll study real 2026 growth stories. Lovable, Cursor, Perplexity, Legora and Sierra, broken down so you can reuse what worked.
Throughout the course, we draw on the best material published by a16z and Y Combinator: their research reports, Startup School talks and partner podcasts. That way you learn from the people funding and advising the fastest-growing AI companies, not from recycled blog posts.
What's inside
The course has 13 core modules that follow the life of a product, plus 4 bonus sections you can use as a reference library.
Why AI Growth Is Different. What changed in 2026 and why many classic growth tactics stopped working.
Find Your Customer. ICPs, Pain Qualified Segments, customer interviews run and analyzed with Claude, and cheap experiments to prove demand before you build.
Build with ChatGPT, Claude & Lovable. Vibe coding, writing specs coding agents can follow, the "minimum lovable product", AI evals, and the real cost of running AI features.
Convert Users to Customers. Landing pages, conversion elements, email sequences and onboarding that gets users to their first win quickly.
AI Pricing That Prints Money. Pricing models that protect your margin, freemium that converts, and how to survive AI price wars.
Retention & Loyalty. The AI churn problem, power users, activation, streaks and rewards, and the retention dashboard every product needs.
Scale with AI. Classic growth cases from Airbnb, Dropbox and Hotmail, and the AI tool stack that replaces a small marketing team.
Growth Loops, Community & Viral Plays. Viral, content, product-led and community loops, adapted for AI products.
2026 Distribution. Recommendations from AI assistants, ChatGPT as a discovery channel, agentic commerce, launch playbooks and founder-led content.
AI Prompts, Tools & Automation. Prompting frameworks for growth work, and using Claude and ChatGPT Projects as your daily co-pilot.
AI Agents for Growth. n8n agents, Clay workflows, AI SDRs, outreach that earns replies, and founder-led sales.
2026 Growth Teardowns. How the fastest-growing AI companies actually grew, and what still protects a product when features are easy to copy.
Your AI Growth Roadmap. The metrics that matter and a 90-day product and growth plan for your own product.
Every core module ends with a practical assignment. By the end you'll have a prototype, a pricing model, a retention plan, a distribution plan and a complete 90-day roadmap.
About your instructor
I'm Shivank Sharma, VP Product at Customer Capital and an IIT Kharagpur alum. Currently based in Dubai, I've worked on product and growth across consumer internet, commerce, fintech (at the fintech I co-founded and scaled to a community of over 120K users) and AI, at companies including Flipkart, OYO, Zomato and Kapiva.
I build and grow products for a living, and I update this course regularly as the field changes.
Who this course is not for
If you want a theory-heavy marketing course or a coding course, this isn't it. This course is for people who want to ship products and grow them.
What you'll learn:
Build a working product prototype with ChatGPT, Claude Code and Lovable, with no coding background needed
Find customers who have the problem now, using ICPs, Pain Qualified Segments and AI-assisted customer interviews
Price AI products using seats, credits, usage or outcomes, and know which one protects your margin
Measure and fix retention for AI products using power-user analysis, activation tactics and loyalty mechanics
Get your product recommended by ChatGPT, Gemini and Perplexity, and discovered inside ChatGPT
Build AI growth agents in n8n and signal-based lead lists in Clay for outbound that gets replies
Turn the growth playbooks of Lovable, Cursor, Perplexity and other 2026 winners into plans for your own product
Create a 90-day product and growth roadmap with the metrics that actually matter
Requirements
No coding experience needed. Every tool used is no-code or low-code.
A laptop and free accounts on ChatGPT or Claude. Lovable, n8n and Clay all offer free tiers.
A product, a side project or an idea to work on helps a lot, but isn't required.
Who this course is for
Founders who've built something and now need users, revenue and retention
Product managers moving into builder or growth roles who want to prototype and own outcomes
Growth marketers and product marketers who want to use AI agents and the new distribution channels
Operators and career switchers moving into AI product or growth roles
I left out stats and dates on purpose so the description doesn't go out of date. I also left out Keel. I can write the promo video script next if you want it.