Every track below was selected by one criterion: earning power. Priced at 5–10% of the junior salary it leads to — in US Dollars — and open to applicants anywhere in the world (classes on Central Standard Time (CST, UTC−6), minimum age 16).
All ten tracks at a glance
Production ML, LLM applications and MLOps. The single highest-paid entry point in technology.
Secure AWS and Azure estates at architectural level — where cloud meets security, salaries peak.
Secure the AI systems every company is racing to deploy — the scarcest skill set at the intersection of the two best-paid fields in tech.
Design the systems everyone else builds on. The highest-leverage generalist role in cloud computing.
Kubernetes, infrastructure-as-code and reliability engineering for systems that cannot go down.
Legal, professional offensive security: red-team methodology, exploitation, reporting.
Pipelines, warehousing and streaming at scale — the engine room behind every AI initiative.
Statistics, machine learning and the storytelling that turns analysis into decisions executives pay for.
Threat detection, SIEM engineering and cloud defence — the broadest gateway to a six-figure security career.
Lead delivery of the products every technical team ships — Scrum, stakeholder management and the delivery discipline that turns engineering effort into shipped outcomes.
Every track runs at least one live class a week — never recordings. All times Central Standard Time (CST, UTC−6).
All times Central Standard Time (CST, UTC−6). Every track runs at least one live class each week.
| Self-taught | University | Typical bootcamp | Derry Training | |
|---|---|---|---|---|
| Cost (USD) | $0–$500 | $40,000–$150,000+ | $9,900–$17,980 | $6,950–$9,550 |
| Duration | 2–4 years, if finished | 4 years | 13–26 weeks | 20–48 weeks, at least one live class per week |
| Live instruction | None | Lectures | Some | Weekly, all year |
| 1:1 mentorship | None | Rare | Limited | Weekly, 20+ yr veterans |
| Job pipeline | None | Careers office | Varies | Developed partner network |
| Job guarantee | — | — | Rare | Support extension or free re-admission if not hired in 6 months |
The platform adapts every module to how you learn, with spaced-repetition scheduling built in — so nothing you master is forgotten by interview day. Built in-house for this curriculum.
No venture capital, no growth-at-all-costs targets. Profits are reinvested in the platform, mentors and hiring funnel — which is why cohorts stay capped and standards stay high.
Plus the practical assurances on every enrolment: 14-day money-back (less deposit) and the 6-month job guarantee.
Answer eight quick questions and get your matched track, your % fit, and how soon you could be earning.
Find my match →What kind of work pulls at you most?
A 7-page career-track brochure for each path — the skills you'll build, how we teach, the jobs it leads to and how to begin. Free, with a quick signup.
Not sure which path? This guide compares all ten tracks so you can choose with confidence.
Production ML, LLM applications and MLOps. The single highest-paid entry point in technology.
Secure AWS and Azure estates at architectural level — where cloud meets security, salaries peak.
Secure the AI systems every company is racing to deploy — the scarcest skill set at the intersection of the two best-paid fields in tech.
Design the systems everyone else builds on. The highest-leverage generalist role in cloud computing.
Kubernetes, infrastructure-as-code and reliability engineering for systems that cannot go down.
Legal, professional offensive security: red-team methodology, exploitation, reporting.
Pipelines, warehousing and streaming at scale — the engine room behind every AI initiative.
Statistics, machine learning and the storytelling that turns analysis into decisions executives pay for.
Threat detection, SIEM engineering and cloud defence — the broadest gateway to a six-figure security career.
No pitch, no obligation. Ten minutes with an advisor to confirm whether a track fits you — and whether you fit the cohort.