Partner with DeeLab Academy.
Build something worth doing.
We're open to trainer partnerships, affiliate partnerships, platform co-operations, and institutional collaborations — as long as they're honest, genuinely useful, and win-win for everyone involved.
How we work together
Four ways to partner with us.
Different partners bring different things to the table. Here's what each type of partnership looks like in practice.
Teach what you know. We handle everything else.
You're a subject matter expert — in ML workflows, data engineering, applied AI, or any practical skill working teams actually need. You've done the work. You know what's missing in the industry.
We build the course structure together, following our training philosophy: hands-on, tool-specific, and honestly assessed. You bring the expertise. We handle the platform, certification, admin, scheduling, and marketing.
Track 1 — Pitch us your course
You bring everything. Topics we're broadly open to:
Track 2 — Join a course we're building
We bring more than just the platform — datasets, tooling, industry contacts. Currently recruiting for:
Medical Imaging & Anatomy AI
Radiology, digital pathology, dermatology. We connect you with annotation tooling and clinical data partners.
Healthcare Data Annotation
Cell imaging, histopathology, single-cell genomics. We bring research-lab and biotech partnerships.
Pharmaceutical & Drug Discovery
Molecular data, clinical-trial outcomes, ADR detection. We connect you with pharma contacts and curated datasets.
Earth Observation, Aviation & Defense
Satellite, ISR, autonomous systems imagery. We handle platform access and domain context.
QA, Career & Annotation Operations
QA frameworks across annotation projects. We provide datasets, QA frameworks, and the learner pipeline.
Robotics & Embodied AI
Teleoperation data, manipulation demos, VLA model training. We connect you with humanoid robotics labs and embodied AI startups.
Revenue sharing: we discuss the arrangement based on course scope and your involvement. No fixed formula — it should be fair for what you're contributing.
Recommend training you genuinely believe in.
If you have an audience interested in AI, data, or ML — through a blog, newsletter, YouTube channel, LinkedIn, community forum, or course — and you believe in the value of practical, certified training, we'd like to work with you.
Affiliates earn a commission on every confirmed enrolment that comes through their tracked link. We pay on confirmed payment — not on registrations or trials.
What we look for in affiliates
Commission structure: competitive rate on confirmed enrolments. 30-day referral window. Tracked via a dedicated affiliate link — no coupon codes or manual tracking.
Help your tool's users reach expert level.
You run a data annotation platform, AI labeling tool, data intelligence service, or enterprise AI infrastructure. Your clients know your tool exists — but do they know how to use it to its full potential?
We build training programmes that turn your users into power users — annotation best practices, workflow design, quality standards, and the tool-specific skills that take a team from getting-by to confidently shipping.
What this can look like
We have live experience training teams on LabelStudio, CVAT, and general annotation workflows. Tell us about your platform and client base and we'll explore what makes sense.
Bring real-world AI training to your learners.
You're a university, polytechnic, public training board, NGO, or learning provider — and you have cohorts of learners who'd benefit from practical, certified AI and data-annotation skills. We can work together to make that real.
We license our certification curriculum to institutions on flexible terms, build custom tracks aligned to your programmes, and run capacity-building sessions for your own teaching teams. The skills your learners pick up are the ones the AI / data-labelling job market actually pays for.
What this can look like
We've designed and delivered AI / data-annotation training across a range of cohort sizes. Tell us about your learners and your goals — we'll scope what fits.
Our approach
What any good partnership needs to have
We're selective about partnerships not because we're precious about it, but because a bad partnership is worse than no partnership. We've built the academy on honest, quality-first principles, and we won't compromise that for reach or revenue.
Start the conversationGenuine value for learners
The partnership should make training better, more accessible, or more relevant — not just add a logo to a page.
Compatible values
Quality, transparency, and practical skills over credentials-for-show. If we disagree on what good training looks like, we're probably not a good fit.
Win-win, honestly
Both sides should be able to point to what they get out of it. We're not interested in arrangements that only look good on paper.
Open communication
Partnerships work when both sides talk plainly. We'd rather hear a difficult truth early than find out six months in.
Get in touch
Tell us what you have in mind
No commitment, no pitch deck required. A brief note about who you are and what you're thinking is enough to start.