AI Software Developer

The curriculum covers AI from basics to advanced deployment, emphasizing Python, machine/deep learning, and ethical AI.

About the course

The curriculum covers AI from basics to advanced deployment, emphasizing Python, machine/deep learning, and ethical AI. Delivered via asynchronous videos and readings with synchronous mentorship, labs, and workshops via AI-powered LMS, this programme requires a commitment of 15–30 hours per week of study. This is a nationally recognised qualification registered with the Quality Council for Trades and Occupations (QCTO/SAQA) under SAQA ID 118792. The curriculum is structured to prepare you directly for the industry.

Duration and Program Structure

Duration & Intensity

90 hours, 24 mins of self-paced learning.
Required effort: 15–30 hours per week.

Cohort Info

Max Seats: 20 seats per cohort.
Format: 100% Online online lectures & practical labs.

Accreditation & Certificate

SAQA ID: 118792 (NQF Level 5).
Occupational Certificate: Artificial Intelligence Software Developer

Credits Breakdown

Total: 209 credits

• Knowledge modules: 86 Credits
• Practical modules: 63 Credits
• Work experience: 60 Credits

Programme Curriculum

Phase 1: Knowledge (1–4)AI Fundamentals

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

Phase 2: Practical (5–8)Building AI Solutions

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 a Database Table in SQL
Use Machine Learning to Build an AI Solution in Python
Use Deep Learning to Build an AI Neural Network in Python
Use Deep Learning to Build an AI Neural Network in TensorFlow
Function Ethically as a Member of a Multidisciplinary Team
Participate in a Design Thinking for Innovation Workshop

Phase 3: Work Experience (9–12)Real-World AI Development

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

Skills You'll Gain

AI Solution Development

Interpret designs and build AI solutions from the ground up.

Model Training & Testing

Train and test AI models for accuracy using techniques like cross-validation.

Deployment & Maintenance

Deploy and maintain AI systems in real-world environments.

Python & TensorFlow

Build neural networks and machine learning models using Python and TensorFlow.

Data & Algorithms

Gather and analyze data, and select appropriate supervised or unsupervised algorithms.

Ethical AI

Apply responsible AI practices and 4IR integration principles.

Career Outcomes

AI Software Engineer

Computer Vision Engineer

Deep Learning Engineer

AI Application Developer

Robotics Developer

Business Intelligence Specialist

Applications close in:16:05:20

75 lessons

90 hours, 24 mins duration

234 students enrolled

Level: Advanced

SAQA ID: 118792

NQF Level: 5

Total: 209 credits

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