Be first into Machine Learning & Data Science
Cohort forming · limited seats Leave your details and an advisor will share the pricing and the founding-cohort offer, and help you secure a seat. Nothing due to apply.
Instructor-led
Taught live by industry practitioners who know what the industry needs, and what an interviewer looks for, in this field.
How it works
Tell us what you're after
Two minutes: who you are, where you are, and what you want out of the program.
We line up your seat
We handle the admin and share cohort dates and the founding-cohort offer with you first.
Learn live from industry experts
The program is instructor-led by practitioners who know what the industry needs and what an interviewer looks for.
What else you get with GuildTrek
Micro-learning library
Sharp 180-second lessons on demand, so no topic stays fuzzy.
AI mock interviews
Practise with bots trained and tuned by industry experts in your field.
Mentors & community
Live reviews and a cohort moving in the same direction as you.
Certification-ready
Coursework aligned to the credentials that get you screened in.
What you walk away with
- A portfolio of models you trained, tuned, and evaluated on real datasets, each reviewed by a mentor.
- A deployed, monitored ML system with drift detection and explainability, not a screenshot.
- A public GitHub body of work that shows how you actually think about data.
- Certification-ready coursework aligned to Azure DP-100, AWS ML, Google Cloud, and Databricks.
We strive for value, not valuation. You join a program built to make you genuinely capable, taught by people who have done the work.
Early access
Join the list for Machine Learning & Data Science
Launching soon. It takes about two minutes.
Good questions
What does it cost?
Fees are shared on enquiry. Apply or talk to an advisor and we will walk you through the pricing and any founding-cohort offer. Nothing is due to apply.
When does it start?
Cohort forming · limited seats Early-access members hear the dates before anyone else.
Do I need prior experience?
Here is what you need: Comfortable programming in any one language; Basic Git and command-line familiarity; High-school math, we go deeper on statistics from scratch; No prior ML experience required.
How much time will it take?
It runs over 6–9 months, with live sessions plus assignments between them. It is built to fit around a working week.
Ready when you are
Your next chapter doesn’t write itself. Start now.
Set up your profile in under five minutes. Honest matching, transparent feedback, real opportunities.