Built for working professionals changing career — without relocating, and without leaving the job you have. Month one is two intensive bootcamps in AI Engineering and AI Product Management. Then an 8-week remote internship with a funded startup, working on real shipped features.
Career support runs the whole way through, not bolted on at the end: technical interview prep (LeetCode, ML system design), mock interviews with coaches who have actually hired for AI roles, and CV and LinkedIn reviews
Two intensive bootcamps in month one: AI Engineering (LangChain, RAG, agents) and AI Product Management (Lovable, Cursor, n8n, Supabase) — take one or both
An 8-week remote internship with a funded startup, working as an AI Engineering or AI Product Manager intern on real shipped features — without quitting your job or degree
Graduate with portfolio projects, references and a certificate that helps you get AI engineering or AI product roles
20-minute video call · Start any time · 1-month full refund
$7,500 total — one payment, or two of $3,750
Understand your background (professional, student, or graduate)
Clarify where you want to go in AI
Show you the path using our bootcamp + internship
Confirm whether the Accelerator is the right fit, and start you the same week if it is
Most people stay stuck in research mode for months or years. One 20 minute call can give you a real plan: either with us or elsewhere. If it is a fit, you enrol on the call and start that week — there is no cohort to wait for.
Two comprehensive bootcamp tracks designed for different goals — pick one or take both simultaneously in the same 4 weeks (or spread over 3 months if needed)
Build and deploy production-ready AI apps using LangChain, RAG, agents, and vector databases
Perfect for:
Build credible AI prototypes using Lovable, Supabase, n8n & Cursor — ship features without dev queues
Perfect for:
Structured prep covering LeetCode, ML system design, deep learning fundamentals, and maths & stats
Weekly career clinic sessions — CV & LinkedIn reviews, mock interviews, networking strategies, and direct introductions to hiring managers
The ultimate combination: Take both tracks simultaneously during the same 4 weeks. Master technical AI engineering AND rapid product prototyping in parallel.
Learn both skill sets in parallel — still just 4 weeks
Build production AI systems + ship product prototypes
Perfect for technical founders, full-stack builders, or anyone wanting the complete AI toolkit
💡 Usually completed in the same 4-week period (both bootcamps run in parallel), but can be spread over 3 months if needed for flexibility
Our partner ecosystem:

Our startup partners
Where you spend the 8-week internship — funded AI companies in San Francisco and London












+ more leading AI companies
Our graduates have landed roles and offers at





“Landed a Forward Deployed AI Engineer role at Google after a full career change.”
Zainab Ahmed-SafeerForward Deployed AI Engineer, Google · Chicago, USA
“Built the positioning and interview reps to move into a full-time AI product role.”
Beni GoldenbergAI Product Manager · Dallas, USA“TAI Labs gave me the structure, mentorship, and hands-on experience I needed to break into AI engineering. It helped build my confidence, sharpen my skills, and ultimately secure my role at Capital One.”
Bernard GriffinAI Engineer, Capital One · Virginia, USA
Most bootcamps teach you to code. Then you apply for jobs... and nothing happens.
The problem: employers want people who have already done it—not just learned it.
The INTERN framework is completely unique:
4 weeks intensive bootcamp + 8 weeks working at real AI startups in SF and London.
Think apprenticeship with a tech startup rather than sitting in a classroom.
Real work experience is the decisive advantage.
200+ students · 150+ placements in AI roles















“Landed a Forward Deployed AI Engineer role at Google after a full career change.”
Zainab Ahmed-Safeer — Forward Deployed AI Engineer, GoogleFeatured

“Landed a Forward Deployed AI Engineer role at Google after a full career change.”
Zainab Ahmed-Safeer, Forward Deployed AI Engineer at Google

“TAI Labs gave me the structure, mentorship, and hands-on experience I needed to break into AI engineering. It helped build my confidence, sharpen my skills, and ultimately secure my role at Capital One.”
Bernard Griffin, AI Engineer at Capital One

“Built the positioning and interview reps to move into a full-time AI product role.”
Beni Goldenberg, AI Product Manager
and placed them at leading companies & top universities worldwide








Everything you need to move into AI engineering OR AI Product Managment Roles
GitHub repos and demos showing real AI systems you have built: chatbots, RAG systems and agents that employers can review.
Documented experience shipping AI features with a real startup. You can talk about this experience in interviews and reference it on your CV. Real projects at partner startups. 100% guarantee.
Certificate from TAI Labs plus references or recommendations from founders and mentors that show you have worked in AI, not just studied it.
Access to mentors and alumni who are already working in AI related roles and can help guide your job search or promotion.
Learn directly from PhDs and industry engineers in real-time, with space to ask questions and get feedback.
All recordings, materials, and resources remain available forever so you can revisit them as you grow in your career.
Structured prep covering LeetCode coding challenges, ML system design, deep learning fundamentals, and maths & stats — everything you need to pass AI engineering and AI PM interviews.
Weekly career clinic sessions with coaches who have hired for AI roles. Get CV reviews, LinkedIn optimisation, mock interviews, networking strategies, and direct introductions to hiring managers.
Build relationships with like-minded peers who are also transitioning into AI engineering; your built-in support system for learning, collaboration, and career growth.
This program is backed by our full guarantee. Students are eligible for a complete refund if not placed with a startup or if unhappy in the first month. Zero risk. All reward.
TAI Labs is for people who want to get a job in AI engineering, AI product management, or move their career into AI. We support working professionals, university students and recent graduates who want real experience, not just another online course.
You have a full time job and want to transition into AI engineering or bring AI into your role. You need real projects and startup experience without quitting your job.
You want your first role to be in AI, not generic software or something unrelated. You need production level AI projects, an internship and references that stand out in applications.
You come from fields like business, economics, consulting, product or data and want a clear, guided path into applied AI work with mentorship and real tasks.
This is not for people who just want a casual intro course. It is for people serious about moving into AI roles and willing to do the work.
Book a 20 minute Accelerator call and we will help you work out if this is the right way for you to move into AI.
From foundational skills to real startup experience
1) AI Engineering (4 weeks): From prompts to production-ready systems. Build RAG applications that don't hallucinate, implement controlled AI agents with proper boundaries, and deploy reliable AI systems with evaluation and monitoring. Master structured outputs, validation, and safe failure modes.
2) AI Product Management Bootcamp and Certification (4 weeks): Ship working prototypes using Lovable (prompt-to-UI), Cursor (AI pair-programr), Supabase (auth & database), and n8n (workflow automation). Go from concept to deployed product with authentication, RAG features, and automated workflows — no dev queue required.
Both Tracks: Take both bootcamps simultaneously in the same 4 weeks — get the complete AI toolkit with technical depth and product velocity.
Both bootcamps: Live sessions 2–3 times per week, focused on projects you can show employers. Usually completed in the same 4-week period, but can be spread over 3 months if needed for your schedule.
We match you with a startup and you join their team as an AI Engineering Intern or AI Product Manager Intern (based on your bootcamp track), working on a real internal tool, prototype or feature. This gives you concrete work experience in AI that you can talk about in interviews.
8 weeks of dedicated career support during your internship:
This comprehensive support ensures you're not just building skills, but actively positioning yourself for AI roles while gaining real experience.
Stay connected with our successful alumni network, receive ongoing resources, updates on new opportunities, and get free access to our AI Lightning Lessons to keep your skills sharp as the AI landscape evolves.
All members also get continued career support, access to monthly 1-day courses on cutting-edge AI tools (N8N, Lovable, AI Evals), and priority access to new bootcamp releases — ensuring you stay ahead in the rapidly evolving AI job market.
Week-by-week breakdown for both tracks
Industry-standard tools and platforms used by top AI companies
Get monthly 1-day courses on cutting-edge tools like AI Evals, advanced n8n workflows, Lovable pro techniques, and access to our Lightning Lessons library covering the latest AI breakthroughs and job market trends.
Work on production AI projects at London & SF startups as an AI Engineering Intern or AI Product Manager Intern. Ship real features that serve actual customers. Get references from founders. This is the experience that gets you AI engineering or AI product roles.
Learn from professionals who have worked at and graduated from the top institutions in the world




















Learn directly from AI/ML leaders with PhDs and extensive experience building production AI systems at top companies.
Hear from Aki & Manu about the program and what you will build

AI/ML Leader | Educator | Ex-Google AI Accelerator
Aki is an AI/ML leader with a PhD in Machine Learning and extensive experience mentoring startups at the Google AI Accelerator.
With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.
He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment.
As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable for engineers, founders, and product leaders.

AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum
Manu is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor.
He is the Co-Founder of Snapdrum, an AI consultancy helping companies integrate and automate their businesses using AI.
Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions.
His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.
Get to know the dedicated professionals who will guide your AI journey

AI & ML Lead in Financial Services
Leading AI innovation in financial services with deep expertise in machine learning and startup advisory.

Founder and CEO of Krybe
Pioneering AI voice agents technology, building the future of conversational AI at scale.

Founder and CEO of Tilli Kids
Transforming education through AI-powered learning experiences for the next generation.

Co-Founder and CEO of Bayseian
A lean AI consultancy run by technologists and repeat founders.
+ more founders, investors, and AI pioneers
Every student gets a complimentary Pro Plan on the TAI Career Platform — our purpose-built tool for landing AI roles. Track applications, prep for interviews, find curated AI jobs, and get AI-powered coaching all in one place.
1-year Pro Plan included free with every enrollment — no extra cost.

The complete AI career transformation program — from intensive bootcamps to guaranteed internship and career support.
Complete career transformation package
Complete programme — bootcamps, internship and career support
$7,500 paid in full · or $3,750 + $3,750
Discuss your goals and see if the program is right for you
| Other Bootcamps | TAI Labs✓ Best | |
|---|---|---|
| 💰 Total Cost | $10,000–$20,000 Just for learning | $7,500 $7,500 paid in full Bootcamps + Internship + Career Support |
| 👥 Class Size | 50–200+ students Hard to get attention | Small live groups Live, hands-on, personal |
| 💼 Real Work Experience | Toy projects only Not real companies | 8-week internship Real company, real users, real experience |
| 🛡️ Guarantees | Usually nothing You're on your own | TWO Guarantees: 1.100% Internship Placement or we find you one 2.1-Month Money-Back — full refund if not satisfied (no questions asked) |
These are real salaries from Glassdoor & Indeed. This is what you're training for.
Average AI Engineer
Your target role
Salary Boost
Moving into AI
ML Engineer
Another path
Research Engineer
Advanced roles
Most AI engineers earn between $120k–$250k per year
Your $7,500 tuition = less than 4% of one year's AI engineer salary.
Most graduates recoup the full investment with their first AI role — often within 1-2 months of starting work.
Source: Glassdoor & Indeed (December 2024)
$7,500 total. Settle it in one payment, or split it in two.
One payment, taken when you enrol
⚡ $0 less than the two-payment option
Best for:
$3,750 to enrol, then $3,750 before your internship placement begins
No interest, no fees — $7,500 total
Best for:
All options include: 100% internship placement guarantee + 1-month full refund guarantee
Pick your option on the call and start the same week · No pressure
Our guarantee to make this completely safe for you:
100% Internship Placement Guarantee
If we cannot place you with a startup, you get a full refund.
✓ Zero risk for you · ✓ Small live groups for personalized support · ✓ Your downside is limited
FEATURED TUTORIAL
Learn how to leverage Cursor AI to supercharge your development workflow and build production-ready AI applications faster
Learn techniques to dramatically speed up your coding workflow
Master working with AI as your coding partner
Build real applications used in TAI Labs
REAL PROJECTS
See what our students build during the bootcamp — real AI applications solving real problems
A single snapshot of learners across our AI courses and programs.

Scroll to see more · hover to pause
Video testimonials
Real success stories from our alumni


“I received a job offer just weeks into TAI Labs! The real-world projects, hands-on experience with LLMs, and Aki's mentorship, from technical guidance to career and interview support, gave me the confidence and skills to break into AI engineering.”

“TAI Labs helped me implement agentic AI solutions for my legal consultancy and startup, saving significant time and money. The practical approach to building real systems transformed how we operate.”
RESULTS ON REPEAT
TAI Labs
of TAI graduates interviewing for or working in AI roles within 12 months
say they would recommend TAI to a friend or colleague
to go from "AI curious" to shipping real AI projects with a startup
Outcomes
Real people who changed careers with this programme — and where they work now.
4.8/5 · 100+ verified reviews“Landed a Forward Deployed AI Engineer role at Google after a full career change.”
Zainab Ahmed-SafeerForward Deployed AI Engineer, Google · Chicago, USA
“Built the positioning and interview reps to move into a full-time AI product role.”
Beni GoldenbergAI Product Manager · Dallas, USA“TAI Labs gave me the structure, mentorship, and hands-on experience I needed to break into AI engineering. It helped build my confidence, sharpen my skills, and ultimately secure my role at Capital One.”
Bernard GriffinAI Engineer, Capital One · Virginia, USA
“TAI Labs placed me with a San Francisco startup where I built real AI solutions. The hands-on experience and career support helped me prepare for interviews and secure offers from Google and TikTok.”

“I received a job offer just weeks into TAI Labs. The real-world projects, hands-on experience with LLMs, and the mentorship — from technical guidance to interview support — gave me the confidence and skills to break into AI engineering.”

“TAI Labs completely transformed my career trajectory from software engineering to AI engineering. The hands-on experience and mentorship were invaluable.”

And the people we teach it to
“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, PhDDirector of People Science, Walmart“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. A mind-opening journey.”
AnetteProduct Manager, Apple“The asynchronous format made it easy to catch up and focus on the parts most relevant to my job — practical, and immediately useful.”
Alexandros FragkosMarketing Analytics & Strategy Manager, Google“Well structured, and covered a genuinely broad range of knowledge — exactly what our engineers needed.”
Lei WangSr. Software Engineer, Stanford UniversityEverything you need to know about TAI Labs program
Still have questions about your specific situation or AI career path?
We will talk it through with you
Information accurate as of 5 June 2025. Details (pricing, dates, availability) are subject to change.
Whether you are a working professional switching into AI or a student aiming for your first AI role, we will help you work out if this program is the right next step.
Questions? Email us at hello@tailabs.ai