QCTO Accredited Occupational Qualification:
Artificial Intelligence Software Developer
Full Qualification | NQF Level 5 | SAQA ID – 118792
Build machine learning and deep learning capability directly into your organisation’s software with our
Artificial Intelligence Software Developer Occupational Qualification.
- Credits: 209
- Duration: 18 - 24 months
- Internationally Recognised QCTO Certificate
Understanding the Artificial Intelligence Software Developer Qualification
Artificial Intelligence Software Developer Overview
The Artificial Intelligence Software Developer Occupational Qualification equips your staff to build AI functionality into working software, rather than simply describe how AI works. Learners interpret solution design documentation, write and test the code, train the model through a machine learning process, and deploy and maintain the finished solution so that model accuracy holds up in production.
The qualification moves from mathematics, statistics and computing theory through to Python, SQL, machine learning and deep learning in both Python and TensorFlow. It is a build-it qualification, and at 209 credits it gives your organisation a developer who can take an AI project from design documentation to a deployed, maintained solution.
What individuals will learn
- Overview of artificial intelligence and where it applies commercially
- Mathematics and statistics foundations for programming
- Analytical thinking and structured problem solving
- Data, databases and data visualisation
- Computing theory and how systems process information
- The distinction between artificial intelligence, machine learning and deep learning
- Artificial intelligence algorithms and logic
- Machine learning models, training and performance testing
- Deep learning and neural network architecture
- Governance, legislation and ethics applied to AI
- Fundamentals of design thinking and innovation
- 4IR technologies and future workplace skills
- Building AI solutions in Python and TensorFlow
- Using SQL and Python data scraping to populate database tables
Details to know
Our occupational qualifications are conducted with maximum use of practical application of the skills acquired. After facilitator led training has taken place via the course material, group work and scenario driven exchanges, learners will have the opportunity to relate the information back to their workplace. We offer a fun and relaxed learning environment, where participants will learn from each other, gain knowledge and acquire skills that will result in improved work performance.
This qualification is designed for any individual who is, or wishes to be, part of the information and communication technology (ICT) industry. It will give students the skills they need to excel in this area of your organisation.
Learners will need competency in the following areas:
- NQF Level 4
After completing an Artificial Intelligence Software Developer Occupational Qualification an individual can work in the following roles:
- Artificial Intelligence Software Developer
- Machine Learning Developer
- AI Application Developer
- Deep Learning Developer
- Python Developer
- AI Solutions Support Developer
This Occupational Qualification is fully accredited with QCTO. By choosing an Occupational Qualification that is accredited with QCTO, you can ensure you obtain BEE points for your Skills Development efforts and your students receive an education that is of high quality.
Businesses that we have done staff training for:
How to make the most of an Artificial Intelligence Software Developer QCTO Qualification
Why choose this Qualification?
Your team builds, they do not just discuss. Sixty-three of the 209 credits sit in eleven practical modules that require learners to actually produce working code: a simple AI solution in Python, a machine learning solution in Python, and neural network architectures in both Python and TensorFlow. Data handling is covered the same way, through SQL and Python data scraping rather than theory alone.
Machine learning and deep learning carry the qualification. KM-08 Machine Learning and KM-09 Deep Learning are worth 16 credits each, the two heaviest knowledge modules in the qualification, with Artificial Intelligence adding a further 12. That weighting matters, because it is where the commercial value of an AI developer sits, and it is the difference between a developer who can call a library and one who understands what the model is doing.
Sixty credits of structured workplace experience. Three work experience modules of 20 credits each cover solution design interpretation and development, performance testing, and deployment, modification and improvement. Your organisation gets a developer who has already worked through the full lifecycle of an AI solution under supervision, including the maintenance phase that most training ignores.
Artificial Intelligence Software Developer NQF Level 5 Module Breakdown
Qualification Breakdown
KM-01 Overview of Artificial Intelligence (Credits 2)
KM-02 Introduction to Mathematics and Statistics (Credits 10)
KM-03 Analytical Thinking and Problem Solving (Credits 3)
KM-04 Data, Databases and Data Visualisation (Credits 8)
KM-05 Computing Theory (Credits 8)
KM-06 Introduction to Artificial Intelligence, Machine Learning, Deep Learning (Credits 5)
KM-07 Artificial Intelligence (Credits 12)
KM-08 Machine Learning (Credits 16)
KM-09 Deep Learning (Credits 16)
KM-10 Introduction to Governance, Legislation and Ethics (Credits 1)
KM-11 Fundamentals of Design Thinking and Innovation (Credits 1)
KM-12 4IR and Future Skills (Credits 4)
PM-01 Mathematics and Statistics for Programming (Credits 8)
PM-02 Problem Definition, Analytical Thinking and Decision-Making (Credits 2)
PM-03 Access, Analyse and Visualise Structured Data Using Spreadsheets (Credits 4)
PM-04 Use SQL to Communicate with a Database (Credits 4)
PM-05 Build a simple AI solution using Python (Credits 8)
PM-06 Use Python Data Scraping to Populate Database Table in SQL (Credits 4)
PM-07 Use Machine Learning to Build an AI solution in Python (Credits 6)
PM-08 Use Deep Learning to Build an AI Neural Network Architecture in Python (Credits 10)
PM-09 Use Deep Learning to Build an AI Neural Network Architecture in TensorFlow (Credits 10)
PM-10 Function Ethically and Effectively as a Member of a Multidisciplinary Team (Credits 3)
PM-11 Participate in a Design Thinking for Innovation Workshop (Credits 4)
WM-01 AI Solution Design Interpretation and Development (Credits 20)
WM-02 AI Solution Performance Testing (Credits 20)
WM-03 AI Solution Deployment, Modification and Improvement (Credits 20)
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