Production ML, LLM applications and MLOps. The single highest-paid entry point in technology.
Median salary $145,000 · 48-week programme · from $120/week
Every one of these appears in real job descriptions for this field.
Used by: ML Engineer, Data Engineer, Data Scientist, Penetration Tester
Used by: Data Scientist, ML Engineer
Used by: ML Engineer, Data Scientist
Used by: ML Engineer, Data Scientist
Used by: ML Engineer, Data Scientist, AI Security Engineer
Used by: ML Engineer, Data Scientist
Used by: Data Engineer, Data Scientist, ML Engineer
Used by: Data Scientist, ML Engineer, Data Engineer
Used by: Solutions Architect, Data Engineer, DevOps/SRE, Cloud Security Architect
Used by: All roles
Used by: All roles
Foundations (wks 1–10): Python engineering, data structures, statistics, SQL — built to production standard from day one.
Core machine learning (wks 11–24): supervised and unsupervised learning, model evaluation, feature engineering on real datasets.
Deep learning & LLMs (wks 25–38): neural networks, transformers, LLM applications, retrieval-augmented systems.
MLOps, capstone & placement (wks 39–48): deployment, monitoring, a production capstone, certification exams and the interview phase.
Certification preparation: AWS Machine Learning Specialty · TensorFlow Developer.
Live small-cohort classes, a weekly 1:1 mentor, hands-on labs, and a spaced-repetition system so week-3 skills are sharp in week 30.
Production ML, LLM applications and MLOps. The single highest-paid entry point in technology.
A free 10-minute call — we'll tell you honestly whether this track fits.
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