OC: AI software Developer (NQF level 5)
- 2 Years
Purpose of Qualification
The purpose of the Occupational Certificate: Artificial Intelligence Software Developer is to prepare a learner to operate as an Artificial Intelligence Software Developer
Overview
Career Focus
• Interrogate the specification and problem and interpret it into code and articulate in writing.
• Build a logical flow using industry standard frameworks and methodologies to propose possible solutions to business challenges to meet both functional and technical requirements.
• Programme effectively using a suitable programming language to develop new solutions and update existing solutions.
• Test and maintain software and recommend improvements to ensure strong functionality and optimisation to meet both functional and technical requirements.
• Function effectively, efficiently, and ethically in the workplace to achieve company and team goals and targets.
Registered By
Department of Higher Education & Training
Accredited By
QCTO (SAQA ID:118792)
Admission Requirements
The learner must have completed an NQF level 4 Qualification
Articulation
Horizontal:
• Occupational Certificate: Computer Technician; NQF Level 5.
Vertical
• Diploma in Information Technology, NQF Level 6.
Assessment of Programme
The Institution will conduct internal assessments by means of assessment activities and signed off work experience log sheets. Upon successful completion of all modules, The Institution provides a statement of results to the candidate and QCTO, as part of the candidate’s application to complete the external Summative Assessment conducted by the QCTO.
Modules
Year 1
Total Credits: 209
| Semester: 1 | Level | Credits |
|---|---|---|
|
Knowledge Modules |
||
|
251201-002-00-KM-01 Overview of Artificial Intelligence |
4 |
2 |
|
251201-002-00-KM-02 Introduction to Mathematics and Statistics
|
4 |
10 |
|
251201-002-00-KM-03 Analytical Thinking and Problem Solving
|
4 |
3 |
|
251201-002-00-KM-04 Data, Databases and Data Visualisation
|
4 |
8 |
|
251201-002-00-KM-05 Computing Theory |
4 |
8 |
|
Practical Modules |
||
|
251201-002-00-PM-01 Mathematics and Statistics for Programming |
4 |
8 |
|
251201-002-00-PM-02 Problem Definition, Analytical Thinking and Decision-Making |
4 |
8 |
|
251201-002-00-PM-03 Access and Visualise Structured Data Using Spreadsheets |
4 |
8 |
|
251201-002-00-PM-04 Use SQL to Communicate with a Database |
5 |
4 |
|
Work Experience Modules |
||
|
251201-002-00-WM-01 AI Solution Design Interpretation and Development and Development |
5 |
20 |
| Semester: 2 | Level | Credits |
|---|---|---|
|
Knowledge Modules |
||
|
251201-002-00-KM-06 Introduction to Artificial Intelligence, Machine Learning, Deep Learning |
4 |
5 |
|
251201-002-00-KM-07 Artificial Intelligence |
5 |
12 |
|
251201-002-00-KM-08 Machine Learning |
5 |
16 |
|
Practical Modules |
||
|
251201-002-00-PM-05 Build a simple AI solution using Python, Level 5 |
5 |
8 |
|
Work Experience Modules |
||
|
251201-002-00-WM-02 AI Solution Performance Testing |
5 |
20 |
Year 2
| Semester: 1 | Level | Credits |
|---|---|---|
|
Knowledge Modules |
||
|
251201-002-00-KM-09 Deep Learning |
5 |
16 |
|
251201-002-00-KM-10 Introduction to Governance, Legislation and Ethics |
4 |
1 |
|
Practical Modules |
||
|
251201-002-00-PM-06 Use Python Data Scraping to Populate Database Table in SQL |
5 |
4 |
|
251201-002-00-PM-07 Use Machine Learning to Build an AI solution in Python |
5 |
6 |
|
251201-002-00-PM-08 Use Deep Learning to Build an AI Neural Network Architecture in Python |
5 |
10 |
|
Work Experience Modules |
||
|
251201-002-00-WM-03 AI Solution Deployment, Modification and Improvement |
5 |
16 |
| Semester: 2 | Level | Credits |
|---|---|---|
|
Knowledge Modules |
||
|
251201-002-00-KM-11 Fundamentals of Design Thinking and Innovation |
4 |
4 |
|
251201-002-00-KM-12 4IR and Future Skills |
4 |
1 |
|
Practical Modules |
||
|
251201-002-00-PM-09 Use Deep Learning to Build an AI Neural Network Architecture in TensorFlow |
5 |
10 |
|
251201-002-00-PM-10 Function Ethically and Effectively as a Member of a Multidisciplinary Team |
4 |
3 |
|
251201-002-00-PM-11 Participate in a Design Thinking for Innovation Workshop |
4 |
4 |
Contact us
Sharecall: 0861 995 020
Whatsapp :+27 670 9636
Email: info@gopctraining.co.za
www.gopctraining.co.za
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.