Building Software with AI
Go beyond website generation and understand the systems behind real applications.
Paid pre-order for this course only. Planned release: 4 November 2026. No immediate access. One-time payment, ongoing access while the course remains available. Read our Terms & Conditions and Refund Policy before ordering.
Who it's for
People who have experimented with AI-generated projects and want to understand how software, data and users fit together.
What you'll understand
- Explain frontend, backend, databases and APIs
- Plan an application around requirements and user flows
- Understand why authentication differs from authorization
- Recognise testing, security and deployment responsibilities
Course outline
- 01From an idea to a real software product
- 02What software applications are made of
- 03Choosing a realistic first project
- 04Understanding user needs and defining scope
- 05Writing requirements AI can work with
- 06User journeys, screens and wireframes
- 07Choosing a technology stack with AI
- 08Setting up a development environment
- 09Git, version control and safe iteration
- 10Prompting AI for reliable implementation
- 11Reading code instead of blindly accepting it
- 12Frontend components, state and navigation
- 13Backend services and server-side logic
- 14APIs, HTTP and integrating external services
- 15Relational databases and data modelling
- 16Database migrations and data integrity
- 17Authentication and account management
- 18Authorisation, roles and tenant boundaries
- 19Files, emails, jobs and background tasks
- 20Working with AI coding agents safely
- 21Debugging errors and tracing root causes
- 22Testing features, edge cases and regressions
- 23Security, secrets and privacy essentials
- 24Deployment, domains, monitoring and backups
- 25Maintaining, improving and shipping your product
The crossed-out amount is the planned post-launch price, not a previous selling price. This is the planned curriculum. Details may be refined before release on 4 November 2026.
Frequently asked
Will this make me a professional software engineer?
No single course can replace professional experience. It builds the technical understanding needed to approach AI-assisted projects more responsibly.
How is the course delivered?
Through self-paced written lessons, visual explanations and practical examples. No compulsory exams or video lectures are planned.
When does access begin?
The planned course launch is 4 November 2026. Pre-orders are paid in advance. The planned release is 4 November 2026. Access instructions will be sent to the email used at checkout. Each course is a one-time purchase with ongoing access while that course remains available.
Learn with understanding.
Have a question about this course? Get in touch before enrolling.
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