Three courses, one calm way of teaching AI development
Choose the point that matches where you are — from first Python steps to a finished applied project.
HomeA consistent method across every course
Each course follows the same underlying method: introduce an idea plainly, practice it in a notebook, and receive feedback before moving forward. Nothing is left as an assumed prerequisite without at least a brief explanation.
Quality is maintained through mentor review at each stage rather than automated grading alone. Course material is revisited periodically to keep pace with current practice in applied machine learning.
Timelines are flexible, but as a general guide, the Foundations course runs four to six weeks, the Neural Networks Track around ten to twelve weeks, and the Portfolio Studio typically spans two to three months depending on project scope.
Foundations of AI Course
A gentle beginner course covering Python, data basics, and the core ideas behind machine learning through small guided steps. Made for newcomers who want a calm, clear entry point.
- Recorded lessons you can revisit anytime
- Practice notebooks with guided exercises
- Access to a welcoming community space
- Set up Python and your first notebook
- Work through data handling basics
- Explore the core ideas behind machine learning
Neural Networks Track
A structured programme that walks learners through building neural networks with hands-on notebooks and mentor feedback. Suited to those with basic Python who want to build real understanding step by step.
- Live sessions with course mentors
- Project briefs with clear milestones
- A growing portfolio of finished work
- Review core Python and data handling
- Build and train first neural network models
- Refine projects with mentor feedback
Applied AI Portfolio Studio
An in-depth studio for building a complete applied project with mentor guidance and peer review from beginning to end. Aimed at committed learners preparing a strong, honest portfolio piece.
- One-to-one mentoring throughout the project
- Structured walkthroughs of complex topics
- A shareable completion record on finishing
- Define a project scope with your mentor
- Build the applied AI solution in stages
- Refine through peer review and final walkthrough
Which course fits you?
| Feature | Foundations | Neural Networks | Portfolio Studio |
|---|---|---|---|
| Recorded lessons | |||
| Live mentor sessions | |||
| One-to-one mentoring | |||
| Portfolio project | |||
| Best for | First-time learners | Building real skills | Committed portfolio work |
Standards behind every course
Data care
Enrolment details and project files are handled with care and used only for course purposes.
Quality checks
Course notebooks are reviewed periodically to keep pace with current practice.
Direct support
Questions reach mentors directly rather than a generic support queue.
Clear methodology
Each course follows the same structured path of teach, practice, and review.
Transparent course pricing
Neural Networks
- Live mentor sessions
- Project briefs
- Growing portfolio
Portfolio Studio
- One-to-one mentoring
- Structured walkthroughs
- Completion record
Not sure which course to pick?
Tell us a little about your background, and we'll suggest a sensible starting point.
Book Now