ARTIFICIAL INTELLIGENCE SOFTWARE DEVELOPER (AISD)

OCCUPATIONAL CERTIFICATE:

SAQA ID 118792 • NQF Level 5 • 209 Credits
18 Months

Artificial Intelligence Software Developer at SAITECH

OCCUPATIONAL CERTIFICATE:

ARTIFICIAL INTELLIGENCE SOFTWARE DEVELOPER (AISD)

SAQA ID 118792 • NQF Level 5 • 209 Credits
18 Months

The Occupational Certificate: Artificial Intelligence Software Developer (AISD) prepares learners to build and integrate AI functionality into software applications by developing, training, testing and deploying machine-learning models.

Learners gain practical skills in interpreting solution designs, developing AI solutions, maintaining model accuracy, and converting machine-learning APIs for broader system use.

This qualification fills the entry-level gap in a rapidly growing specialist field where AI, machine learning, neural networks and deep learning are transforming industries. It equips graduates with hands-on competencies required to enter the AI sector, supporting roles such as AI Developer, Machine Learning Engineer, AI Technician, BI Developer, etc.

EXIT LEVEL OUTCOMES:

  • Gather and interpret data from various sources to define an AI solution.
  • Critically analyse data and create a solution design document (SDD).
  • Choose a type or category of AI learning and the relevant algorithm to analyse data, gain insight and make subsequent
    prediction, or create a determination with it.
  • Train the AI model through a machine learning process and ensure that model accuracy is strictly maintained within the
    selection framework.
  • Select a machine learning system and build an artificial intelligence (AI) solution.
  • Implement and run the AI solution on a selected platform and check the prediction results in real-life use, then select and run
    the AI solution on a platform.

  • Overview of Artificial Intelligence
  • Introduction to Mathematics and Statistics
  • Analytical Thinking and Problem Solving
  • Data, Databases and Data Visualisation
  • Computing Theory
  • Introduction to Artificial Intelligence, Machine Learning, Deep Learning
  • Introduction to Governance, Legislation and Ethics
  • Fundamentals of Design Thinking and Innovation
  • 4IR and Future Skills
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning

  • Mathematics and Statistics for Programming
  • Problem Definition, Analytical Thinking and Decision-Making
  • Access, Analyse and Visualise Structured Data Using Spreadsheets
  • Use SQL to Communicate with a Database
  • Build a simple AI solution using Python
  • Use Python Data Scraping to Populate Database Table in SQL
  • Use Machine Learning to Build an AI solution in Python
  • Use Deep Learning to Build an AI Neural Network Architecture in Python
  • Use Deep Learning to Build an AI Neural Network Architecture in TensorFlow
  • Function Ethically and Effectively as a Member of a Multidisciplinary Team
  • Participate in a Design Thinking for Innovation Workshop

  • AI Solution Design Interpretation and Development
  • AI Solution Performance Testing
  • AI Solution Deployment, Modification and Improvement

ENTRY REQUIREMENTS:

Matric preferably with Maths/Maths Literacy or NQF Level 4 qualification.

Participants will be required to write an External Integrated Summative Assessment (EISA) Examination on completion of training.

APPLY NOW!

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