Modular by design
Every module is a real course with its own prerequisites, recap, project, interview bank, certificate, and landing page.
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ML/AI from Zero to Profession
Build interview-ready evidence for Junior Data Scientist or ML Engineer roles. Every route starts with Python; choose the courses you need and save 10% on the set.
Evidence before confidence
Browser practice, deterministic checks, reviewed work, and project artifacts create evidence you can defend.
A route to the first role
Finish foundation and core, choose one job route, then add forecasting, CV, NLP/LLM, MLOps, or system design when needed.
Build my path, explained
Shape the set. Follow the route.
Build my path is the payment and study constructor. Choose a role and focus; we select a Python-first route, then you adjust the set before paying.
- 01
Shape your route
Choose Data Scientist or ML Engineer and the specialization you want to reach first.
- 02
Adjust the set
Add or remove courses. Only selected courses are charged and unlocked.
- 03
Save 10%
Every course is A$100 separately. The selected set receives the bundle saving.
- 04
Learn in order
Start with Python, build the core, then complete your focus and career projects.
What happens next
Start learning → sign in → choose your role and focus → adjust the course set → pay 10% less than buying the same courses separately.
Python is first in every recommended route. Each selected course is A$100 before the bundle saving.
Recommended sequence
Follow the arrows. Branch when the foundation is strong.
Each box is a separately available course. The sequence is recommended, not a purchase restriction.
- 0136h · 120+ tasks
Python for Beginners
Build real programs from zero and learn to reason about code, not memorize syntax.
- 0230h · 100+ tasks
Python for Data Science & ML
Move from general Python to reproducible analytical and machine-learning workflows.
- 0320h · 75+ tasks
NumPy & Vector Computing
Think in shapes, broadcasting, memory layouts, and vectorized transformations.
- 0430h · 110+ tasks
Pandas & Data Preparation
Convert messy tables into trustworthy analytical datasets without silent corruption.
- 0524h · 80+ tasks
Visualization & Exploratory Data Analysis
Ask better questions, expose data problems, and communicate evidence without misleading charts.
- 0634h · 100+ tasks
Linear Algebra for Machine Learning
Use geometry, vectors, matrices, and decompositions to reason about models.
- 0740h · 130+ tasks
Probability & Statistics for ML
Reason under uncertainty and distinguish evidence from noise.
- 0836h · 140+ tasks
SQL for Data Science & ML
Extract trustworthy training and analytical datasets and defend every join and aggregation.
- 0952h · 160+ tasks
Classical Machine Learning
Frame problems, establish baselines, train models, and make evidence-backed decisions.
- 1032h · 110+ tasks
Model Evaluation & Error Analysis
Know whether a model is actually better—and whether that improvement matters.
- 1134h · 110+ tasks
Feature Engineering & ML Pipelines
Build transformations that are reproducible, leakage-safe, and consistent at inference time.
- 1236h · 100+ tasks
Advanced ML & Ensembles
Improve strong baselines with disciplined optimization instead of blind tuning.
- 1336h · 100+ tasks
Time Series Forecasting
Backtest forecasts without looking into the future and connect accuracy to decisions.
- 1434h · 95+ tasks
Recommender Systems
Build candidate, ranking, and evaluation stages for personalized products.
- 1556h · 150+ tasks
Deep Learning with PyTorch
Understand training dynamics well enough to diagnose a model that refuses to learn.
- 1646h · 115+ tasks
Computer Vision
Build image systems that survive imbalance, shift, annotation noise, and inference constraints.
- 1746h · 120+ tasks
NLP & Transformers
Model text, evaluate language tasks, and reason about tokenization and attention.
- 1848h · 120+ tasks
LLM, RAG & AI Applications
Turn an impressive demo into an evaluated, secure, and observable AI product.
- 1950h · 130+ tasks
MLOps & Production ML
Package, deploy, monitor, and safely change machine-learning systems.
- 2036h · 90+ tasks
ML System Design
Make and defend system choices under scale, latency, quality, and organizational constraints.
- 2144h · 200+ tasks
Algorithms for ML Interviews
Practice the coding patterns most likely to appear in DS and MLE screens.
- 2264h · 170+ tasks
ML Project Workshop
Choose, scope, build, review, and present portfolio projects that demonstrate real judgment.
- 2330h · 130+ tasks
Portfolio, Resume & ML Interviews
Convert learning into credible evidence and perform across the US/EU hiring loop.
- 2470h · 80+ tasks
Professional ML/AI Capstone
Deliver a production-minded ML system and defend it as you would in a hiring panel.
Your first route starts here
Start the ML/AI career program.
Every route starts with Python. After sign-in, choose your target role, focus, and the courses included in your 10%-off set.