AI Assisted Software Development
Code assistants produce plausible code quickly, including code that is subtly wrong or insecure. This course covers using them to go faster without accepting what you cannot verify.
Course outline
What this programme covers, module by module.
- 01What code assistants do well and where they fail
- 02Prompting for real development tasks
- 03Reviewing generated code for correctness
- 04Security review: injection, secrets and unsafe defaults
- 05Licensing, provenance and code you cannot attribute
- 06Confidentiality and what not to send to a tool
- 07Tests, team standards and accountability for generated code
What you will gain
- Use assistants effectively for real development tasks
- Review generated code for correctness and security
- Recognise the failure patterns these tools produce
- Protect confidential code and data when using them
- Maintain test discipline alongside generated code
- Set team standards for assisted development
Who should attend
- Software developers and engineers
- Technical leads setting team practice
- Quality assurance and security staff
- Engineering managers
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 2 to 4 Nov 2026 | Cape Town | 3 Days | R13,000 | |
| 16 to 18 Nov 2026 | Johannesburg | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | London | 3 Days | US$1,500 | |
| 1 to 3 Feb 2027 | Pretoria | 3 Days | R13,000 | |
| 12 to 14 Apr 2027 | Durban | 3 Days | R13,000 | |
| 14 to 16 Jun 2027 | Cape Town | 3 Days | R13,000 |
Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.
Enquire about this course
Register your team or ask for a tailored in-house quote. We reply within one working day.
WhatsApp usCourse brochure (PDF)- Fees from
- R13,000 per delegate
- Duration
- 3 Days
- Field
- Artificial Intelligence & Emerging Technology
- Formats
- In-house, public, online
More in Artificial Intelligence & Emerging Technology
Artificial Intelligence for Business Leaders
Executives are asked to approve artificial intelligence investments without a technical background. This course gives decision makers enough working understanding to tell a genuine opportunity from a costly distraction, and to ask suppliers the right questions.
Deploying and Operating Machine Learning Models
A model that works in a notebook is not yet a working system. This course covers what it takes to run a model in production: packaging, serving, monitoring for drift and retraining without breaking what depends on it.
Generative AI Tools in the Workplace
Generative tools are already in use across most organisations, often without guidance. This practical course shows staff how to use them well for real work tasks, and where the accuracy and confidentiality traps lie.



