AI Go-To-Market Engineering Certificate
Master technical GTM for AI products — pipeline automation, AI SDRs, and data-driven GTM systems.
Taught by Manu Jayawardana
Co-founder · CEO · New York / London
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Manu Jayawardana
Lead instructor
8 hours
Built to fit around work
7 modules
28 lessons
3 applied labs
Evidence, not just watching
Video + interactive
Online
Built for real work
Leave with work you can show.
Every part of the course moves towards an applied result. You will practise the judgement behind the tools, build with them and finish with evidence of what you can do.
Automate a research-to-outreach pipeline
Instrument GTM on real data
Who it is for
Right level. Clear expectations.
This is a advanced course for people who want to use the material, not collect another set of notes.
GTM engineer
Use the exercises and final project in the context of your own role.
Growth lead
Use the exercises and final project in the context of your own role.
Course syllabus
A complete path, not a content dump.
7 modules · 28 lessons · 3 applied labs · 8 hours.
- 1. Where Your Funnel LeaksVideo · 3m
- 2. The Shared GTM BrainVideo · 4m
- 3. Content Only Your Company Could WriteVideo · 3m
- 4. The Account BriefVideo · 3m
- Knowledge check: Filmed sessions · part 1Knowledge check · 14m
Your instructor
Manu Jayawardana
Co-founder · CEO · New York / London
Exited AI founder and CEO of Krybe (AI voice agents). Runs custom programs for product and GTM teams, focused on practical agent workflows.
What learners say
Practical enough to use the next day.
Real, attributed feedback from people learning with TAI Labs.
“In just two live sessions I walked away with a reusable GTM playbook, launch templates, and the AI prompts to run every future launch faster.”
Irena Palamani Xhurxhi, PhD
Director of People Science · Walmart
“The asynchronous format made it easy to catch up and focus on the parts most relevant to my job — practical, and immediately useful.”
Alexandros Fragkos
Marketing Analytics Manager · Google
“In only four weeks we went from LLM basics to building our own production-grade app — multi-agent workflows, RAG with vector search, and real evaluation.”
Anette
Product Manager · Apple
Start with the course. Keep the bigger path visible.
Take this course on its own, use it inside the Career Accelerator, or bring a private version to your team. The right route depends on how much support and applied experience you need.