The first session is an introductory assessment and orientation. No payment is required for it, and there is nothing to commit to at the end of it.
Book my free introductory sessionβAnyone can be shown where the prompt box is. This teaches how the application around the model is built β the API calls, the retrieval, the state, the deployment.
Every week ends in something that runs. By week sixteen you have eight working projects and a deployed product, not sixteen sets of notes.
One student, one engineer, one live session. The curriculum bends around what you already know and what you actually want to build.
Never programmed before? The program starts at the fundamentals and assumes nothing.
Build practical AI skills alongside your degree, on a schedule that fits around term.
Move from basic programming toward modern AI application development.
Learn how AI automation and AI applications turn into services clients pay for.
Learn how AI capabilities become useful products and real business solutions.
Develop practical AI engineering skills for an increasingly AI-driven workplace.
Every session is live and one-to-one. You build real applications alongside your mentor, at the pace that suits you, with the same person from your first line of Python to your final deployed project.
By the end of the program your portfolio contains multiple practical projects instead of a certificate alone.
The goal is practical working knowledge and the ability to keep specialising β not expertise in every technology on this list.
Everyone starts from a different place. That is why Applied AI Engineering is taught one-to-one.
Move faster through concepts you already understand and spend longer where you need the help.
Build around your own interests, career goals or business ideas rather than someone elseβs demo.
Do not get stuck watching a tutorial. Ask the question and solve the problem together, in the session.
Direct feedback on your code, your projects and the way you approach a build.
Go past tutorials and learn how real AI applications are actually designed and built.
Learn the technology behind AI applications β not just how to use AI tools.
The program gives you a foundation for further specialisation in AI engineering, software development, automation, agent development or AI-powered entrepreneurship.
A typical sixteen-week program runs about 32 sessions β roughly $800 in total at the Standard rate. The first introductory session is free.
The full curriculum, taught one-to-one.
For students who want to move faster and be reviewed harder.
For students building toward freelancing, a portfolio or a product.
Your final price can vary with region, currency, team size, scope and how much setup is involved. Confirm with us first, or place an order and we will reach out with a firm quote as soon as possible β usually within a few hours.
No. The program starts from the fundamentals and assumes you have never written code.
No. Week one covers what AI actually is before you touch a model.
No. Every session is personalised one-to-one instruction with an engineer.
Sessions start at $25 an hour, with higher tiers for students who want additional mentorship and support. A typical sixteen-week program runs about 32 sessions, so roughly $800 in total at the Standard rate. Prices are a starting guide and can be adjusted β talk to us.
The structured curriculum is designed for sixteen weeks. The exact number of sessions varies with your pace and goals.
Additional sessions can be booked as needed, at the same hourly rate.
Yes. The curriculum is project-driven and finishes with a deployed AI application of your own.
Yes. Agent development is a major part of the second half of the curriculum.
Yes. You will work with APIs, workflows, webhooks and AI-powered automation in n8n.
Yes. It is specifically designed to take students from the fundamentals toward applied AI development.
The course gives you a practical foundation in applied AI engineering. It is not a job guarantee or an expert-level qualification, and you are expected to keep learning and specialising afterwards.
Your AI journey does not have to start with years of programming experience. Start with the fundamentals, build real projects, and develop the skills to create intelligent applications.