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A new world of work. A place to belong.

Become AI-native.
Go further, together.

Build real skills. Find your people. Turn what AI makes possible into what you do next.

San Francisco, London, New York, Mumbai, Hong Kong, and the world.
In good company.
Teams we’ve trained.
10,000+professionals trained
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Find your corner of the internet

Find your people.
Build what comes next.

A question becomes a conversation. A conversation becomes a project. Start wherever you are.

TAI Labs learners in an online session

Inner Circle

Your room with the founders

Live sessions with Aki and Manu, office hours, and honest feedback on the work you’re building. A small room to go further together.

Inner Circle
AI General
For the curious

AI General

The questions, the experiments, the things actually worth trying this week.

Open to everyone
AI Engineering
For the builders

AI Engineering

Go from your first prompt to agents, evaluations and systems that work.

Build alongside practitioners
AI Careers
For your next chapter

AI Careers

Better portfolios, honest advice and people rooting for your next move.

Learn from career changers
AI Product Management
For product thinkers

AI Product Management

Discovery, prototypes and better products. Build with people asking the same questions.

From idea to impact
Less watching. More doing.

Learning that
goes somewhere.

Explore learning

Your next career starts here.

Career Accelerator

A 12-week journey through a bootcamp and internship, with coaching for your next move.

12 weeks

AI, applied to your work.

Custom team training

Role-specific learning built around your team’s tools, workflows and business priorities.

Made for your organisation
TAI for business

Train your team.
Change how you work.

Practical AI skills. Better workflows. Progress you can measure.

From first steps to AI champion

Level 3 · Workflow practitioner

Turn individual tasks into repeatable workflows that your team can use.

Evidence of progressDocument and demonstrate a working workflow.

The organisational J-curve

Starting pointInvestment → adoption → potential value
Make time to learn.

Skills and new workflows take investment before they create value.

Why a J-curve? Read the research ↗Illustrative pattern, not a forecast of returns.
Teams putting AI to work

Case studies.

All case studies
Zainab Ahmed-Safeer
Career change examples
A career change. A new set of skills. A role building AI at Google.

Zainab Ahmed-Safeer

Forward Deployed AI Engineer · Google

Alumni story summarised from TAI LabsExplore the Career Accelerator
Where people we’ve trained workGoogleAmazonMicrosoftCapital One
Your next chapter is a shared one

Come for the possibilities.
Stay for the people.