Faculty of Information & Communications Technology

Occupational Certificate -Artificial Intelligence Software Developer NQF 5  

Occupational Certificate–Artificial Intelligence Software Developer NQF Level 5- SAQA ID 118792 

Artificial Intelligence Course South Africa: The Occupational Certificate: Artificial Intelligence Software Developer (NQF Level 5) at Khano Training Institute is designed to equip learners with practical skills in developing intelligent software systems using modern AI technologies.

This artificial intelligence course in South Africa introduces learners to the fundamentals of machine learning, data-driven decision-making, and automation. The programme focuses on building smart applications that can analyse data, recognise patterns, and improve system performance.

Learners will gain hands-on experience in developing AI-driven solutions used in industries such as finance, healthcare, retail, and technology.

Possible Career Choices

  • Junior AI Developer
  • Machine Learning Assistant
  • Data Analyst (entry-level)
  • AI Support Technician
  • Software Developer (AI-focused)

Entry Requirements

  • Grade 12 / Matric or equivalent
  • Basic computer literacy
  • Interest in programming and data

Why Study Artificial Intelligence in South Africa?

Artificial Intelligence is one of the fastest-growing fields in South Africa and globally. Businesses are increasingly using AI to automate processes, improve decision-making, and enhance customer experiences.

This artificial intelligence course in South Africa provides learners with future-ready skills that are in high demand across industries. By studying AI at Khano Training Institute, learners gain practical knowledge that can be applied in real-world environments, preparing them for careers in the digital economy.

Tools and Technologies You Will Use

Learners will be introduced to commonly used tools and technologies in artificial intelligence, including Python programming environments, data analysis libraries, and basic machine learning frameworks. This exposure ensures that learners are prepared to work in modern AI development environments and build intelligent applications effectively.

Course Content

  1. Introduction to Artificial Intelligence (AI) and Machine Learning
  2. Programming for AI (Python fundamentals)
  3. Data analysis and data handling
  4. Machine learning algorithms and models
  5. Natural Language Processing (NLP) basics
  6. AI model training and evaluation
  7. Automation and intelligent systems
  8. Ethical considerations in AI
  9. Software development for AI applications
  10. Problem-solving using AI techniques

Brighten your future Today.