AI Software Developer
The curriculum covers AI from basics to advanced deployment, emphasizing Python, machine/deep learning, and ethical AI
About the course
Melsoft Academy's Occupational Certificate: Artificial Intelligence Software Developer (NQF Level 5, SAQA ID: 118792) is an entry-level, accredited qualification designed to equip learners with skills to integrate AI algorithms into software applications, train models via machine learning, and deploy/maintain AI solutions. It responds to the 4IR's demand for AI experts, addressing global shortages by focusing on practical AI development, including machine learning, deep learning, and neural networks. Delivered 100% online over 12 months, it combines knowledge, practical skills, and work experience to build AI functionality that mimics human problem-solving.
This QCTO/SAQA-accredited program (vendor-agnostic) targets beginners, enabling them to create, test, and deploy AI code while converting machine learning APIs for broader use. As Melsoft Academy approaches its rebrand to Melsoft International School (soft launch December 2025, public launch January 2026), this SA-only program will evolve into a global offering, potentially expanding to include corporate training and international hubs in Dubai and Minneapolis.
Unlike the 6-month AI Software Engineering bootcamp (non-accredited, introductory), this provides formal certification for specialized AI roles, filling an entry-level gap noted in comparisons to advanced degrees like Master's in Machine Learning.
Duration and Program Structure
Duration: 12 months (self-paced, full-time equivalent), aligning with 4IR skill-building needs.
Structure:
Format: 100% online, blending asynchronous learning (videos, readings) with synchronous elements (mentorship, labs, workshops). Total credits: 209 (86 Knowledge, 63 Practical, 60 Work Experience).
Weekly Breakdown: 15-30 hours/week, including theory, Python-based projects, and simulations.
Key Phases:
Knowledge (Months 1-4): AI fundamentals, math/stats, data handling.
Practical Skills (Months 5-8): Building AI models in Python/TensorFlow, ethical teamwork.
Work Experience (Months 9-12): Real-world AI development, testing, deployment via simulations or partners.
Delivery Tools: AI-powered LMS with forums, Python environments, TensorFlow labs; resilient to load-shedding.
Class Size: Limited to 20 for personalized attention.
Curriculum Modules
The curriculum covers AI from basics to advanced deployment, emphasizing Python, machine/deep learning, and ethical AI.
Module Type | Module Name | Key Topics |
|---|---|---|
Knowledge | Overview of Artificial Intelligence | AI definition, applications, societal value. |
Knowledge | Introduction to Mathematics and Statistics | Math/stats for AI algorithms. |
Knowledge | Analytical Thinking and Problem Solving | Critical thinking for AI problems. |
Knowledge | Data, Databases and Data Visualisation | Data structures, visualization tools. |
Knowledge | Computing Theory | Computing basics for AI. |
Knowledge | Introduction to Artificial Intelligence, Machine Learning, Deep Learning | Core concepts, differences. |
Knowledge | Introduction to Governance, Legislation and Ethics | AI ethics, laws (e.g., data privacy). |
Knowledge | Fundamentals of Design Thinking and Innovation | Innovation in AI solutions. |
Knowledge | 4IR and Future Skills | AI in IoT, cloud, automation. |
Knowledge | Artificial Intelligence | AI algorithms, integration. |
Knowledge | Machine Learning | Supervised/unsupervised learning. |
Knowledge | Deep Learning | Neural networks, architectures. |
Practical Skills | Mathematics and Statistics for Programming | Applied math in code. |
Practical Skills | Problem Definition, Analytical Thinking and Decision-Making | Problem-solving exercises. |
Practical Skills | Access, Analyse and Visualise Structured Data Using Spreadsheets | Data handling in tools. |
Practical Skills | Use SQL to Communicate with a Database | SQL for AI data. |
Practical Skills | Build a simple AI solution using Python | Basic Python AI projects. |
Practical Skills | Use Python Data Scraping to Populate Database Table in SQL | Data scraping/integration. |
Practical Skills | Use Machine Learning to Build an AI solution in Python | ML models in Python. |
Practical Skills | Use Deep Learning to Build an AI Neural Network Architecture in Python | DL networks in Python. |
Practical Skills | Use Deep Learning to Build an AI Neural Network Architecture in TensorFlow | TensorFlow DL projects. |
Practical Skills | Function Ethically and Effectively as a Member of a Multidisciplinary Team | Team ethics in AI. |
Practical Skills | Participate in a Design Thinking for Innovation Workshop | AI innovation sessions. |
Work Experience | AI Solution Design Interpretation and Development | Building from designs. |
Work Experience | AI Solution Performance Testing | Model training/testing. |
Work Experience | AI Solution Deployment, Modification and Improvement | Deployment/maintenance. |
Assessment: Formative (internal) via provider; summative (external) via QCTO AQP with theory and practical tasks.
Skills Learned
Graduates will master:
Interpreting designs to develop AI solutions.
Training/testing AI models for accuracy (e.g., cross-validation).
Deploying/maintaining AI systems.
Data gathering, analysis, algorithm selection (supervised/unsupervised).
Building AI with Python/TensorFlow, neural networks.
Ethical AI practices, 4IR integration.
Prepares for roles like AI Software Engineer, Computer Vision Engineer, Deep Learning Engineer, AI Application Developer, or in robotics/BI.
Career Support and Job Guarantee
100% Job Guarantee: Placement within 3 months, leveraging AI demand.
Services: Portfolio (e.g., AI projects), CV/LinkedIn, interview prep, mock deployments.
Mentorship: 1-on-1 from AI experts.
Community: Alumni network, events, freelancing in AI tasks.
Partners: Industry connections for roles, global certs for remote work.
Costs and Financing Options
Tuition: R75,000 (once-off for accredited programs).
Payment Plans:
Upfront.
Monthly installments.
100% financing via Nedbank/Manati (payslips, statements, IDs, invoice required).
Transparent, no hidden fees.
Outcomes and Success Stories
Placement Rate: High, addressing AI shortages; benefits economy by improving efficiencies, reducing errors.
Alumni Highlights: Graduates enter AI research/engineering; testimonials emphasize transformative skills in healthcare/customer service.
Other Benefits: SAQA cert, 4IR readiness, entrepreneurial potential.
Additional Details
Accreditation: QCTO/SAQA; compares to Grey Campus/IBM cert (UAE/USA) and Microsoft Azure AI Fundamentals.
Unique Features: Focus on entry-level AI, Python/TensorFlow labs, ethical/responsible AI.
Enrollment: Limited cohorts; apply online with RPL/special options.
Contact: 010 158 4346 or melsoftacademy.com. Transitions to Melsoft International School post-Dec 2025.
This program bridges AI skills gaps, enabling human-AI synergy.
Advantages
Lifetime access
Elevate your career with our course's lifetime access. Stay updated, revisit key concepts, and enjoy a perpetual competitive edge in your field.
Practice-based lessons
Immerse yourself in hands-on learning through our practice-based lessons, designed to provide practical skills and real-world insights.
Quarterly updates
Our mentors review the course syllabus once in a quarter and once you have a lifetime access you’ll also be able to see those updates
Course price
R75 000
Applications close in
:
:
24
lessons
40 hours, 24 mins
234
students
Level:
Advanced
Course price
R75 000
Applications close in
:
:
24
lessons
40 hours, 24 mins
234
students
Level:
Advanced
Data Science
Intensive, practical program aimed at equipping beginners with the skills to handle the full data science lifecycle.
About the course
Melsoft Academy's Occupational Certificate: Artificial Intelligence Software Developer (NQF Level 5, SAQA ID: 118792) is an entry-level, accredited qualification designed to equip learners with skills to integrate AI algorithms into software applications, train models via machine learning, and deploy/maintain AI solutions. It responds to the 4IR's demand for AI experts, addressing global shortages by focusing on practical AI development, including machine learning, deep learning, and neural networks. Delivered 100% online over 12 months, it combines knowledge, practical skills, and work experience to build AI functionality that mimics human problem-solving.
This QCTO/SAQA-accredited program (vendor-agnostic) targets beginners, enabling them to create, test, and deploy AI code while converting machine learning APIs for broader use. As Melsoft Academy approaches its rebrand to Melsoft International School (soft launch December 2025, public launch January 2026), this SA-only program will evolve into a global offering, potentially expanding to include corporate training and international hubs in Dubai and Minneapolis.
Unlike the 6-month AI Software Engineering bootcamp (non-accredited, introductory), this provides formal certification for specialized AI roles, filling an entry-level gap noted in comparisons to advanced degrees like Master's in Machine Learning.
Duration and Program Structure
Duration: 12 months (self-paced, full-time equivalent), aligning with 4IR skill-building needs.
Structure:
Format: 100% online, blending asynchronous learning (videos, readings) with synchronous elements (mentorship, labs, workshops). Total credits: 209 (86 Knowledge, 63 Practical, 60 Work Experience).
Weekly Breakdown: 15-30 hours/week, including theory, Python-based projects, and simulations.
Key Phases:
Knowledge (Months 1-4): AI fundamentals, math/stats, data handling.
Practical Skills (Months 5-8): Building AI models in Python/TensorFlow, ethical teamwork.
Work Experience (Months 9-12): Real-world AI development, testing, deployment via simulations or partners.
Delivery Tools: AI-powered LMS with forums, Python environments, TensorFlow labs; resilient to load-shedding.
Class Size: Limited to 20 for personalized attention.
Curriculum Modules
The curriculum covers AI from basics to advanced deployment, emphasizing Python, machine/deep learning, and ethical AI.
Module Type | Module Name | Key Topics |
|---|---|---|
Knowledge | Overview of Artificial Intelligence | AI definition, applications, societal value. |
Knowledge | Introduction to Mathematics and Statistics | Math/stats for AI algorithms. |
Knowledge | Analytical Thinking and Problem Solving | Critical thinking for AI problems. |
Knowledge | Data, Databases and Data Visualisation | Data structures, visualization tools. |
Knowledge | Computing Theory | Computing basics for AI. |
Knowledge | Introduction to Artificial Intelligence, Machine Learning, Deep Learning | Core concepts, differences. |
Knowledge | Introduction to Governance, Legislation and Ethics | AI ethics, laws (e.g., data privacy). |
Knowledge | Fundamentals of Design Thinking and Innovation | Innovation in AI solutions. |
Knowledge | 4IR and Future Skills | AI in IoT, cloud, automation. |
Knowledge | Artificial Intelligence | AI algorithms, integration. |
Knowledge | Machine Learning | Supervised/unsupervised learning. |
Knowledge | Deep Learning | Neural networks, architectures. |
Practical Skills | Mathematics and Statistics for Programming | Applied math in code. |
Practical Skills | Problem Definition, Analytical Thinking and Decision-Making | Problem-solving exercises. |
Practical Skills | Access, Analyse and Visualise Structured Data Using Spreadsheets | Data handling in tools. |
Practical Skills | Use SQL to Communicate with a Database | SQL for AI data. |
Practical Skills | Build a simple AI solution using Python | Basic Python AI projects. |
Practical Skills | Use Python Data Scraping to Populate Database Table in SQL | Data scraping/integration. |
Practical Skills | Use Machine Learning to Build an AI solution in Python | ML models in Python. |
Practical Skills | Use Deep Learning to Build an AI Neural Network Architecture in Python | DL networks in Python. |
Practical Skills | Use Deep Learning to Build an AI Neural Network Architecture in TensorFlow | TensorFlow DL projects. |
Practical Skills | Function Ethically and Effectively as a Member of a Multidisciplinary Team | Team ethics in AI. |
Practical Skills | Participate in a Design Thinking for Innovation Workshop | AI innovation sessions. |
Work Experience | AI Solution Design Interpretation and Development | Building from designs. |
Work Experience | AI Solution Performance Testing | Model training/testing. |
Work Experience | AI Solution Deployment, Modification and Improvement | Deployment/maintenance. |
Assessment: Formative (internal) via provider; summative (external) via QCTO AQP with theory and practical tasks.
Skills Learned
Graduates will master:
Interpreting designs to develop AI solutions.
Training/testing AI models for accuracy (e.g., cross-validation).
Deploying/maintaining AI systems.
Data gathering, analysis, algorithm selection (supervised/unsupervised).
Building AI with Python/TensorFlow, neural networks.
Ethical AI practices, 4IR integration.
Prepares for roles like AI Software Engineer, Computer Vision Engineer, Deep Learning Engineer, AI Application Developer, or in robotics/BI.
Career Support and Job Guarantee
100% Job Guarantee: Placement within 3 months, leveraging AI demand.
Services: Portfolio (e.g., AI projects), CV/LinkedIn, interview prep, mock deployments.
Mentorship: 1-on-1 from AI experts.
Community: Alumni network, events, freelancing in AI tasks.
Partners: Industry connections for roles, global certs for remote work.
Costs and Financing Options
Tuition: R75,000 (once-off for accredited programs).
Payment Plans:
Upfront.
Monthly installments.
100% financing via Nedbank/Manati (payslips, statements, IDs, invoice required).
Transparent, no hidden fees.
Outcomes and Success Stories
Placement Rate: High, addressing AI shortages; benefits economy by improving efficiencies, reducing errors.
Alumni Highlights: Graduates enter AI research/engineering; testimonials emphasize transformative skills in healthcare/customer service.
Other Benefits: SAQA cert, 4IR readiness, entrepreneurial potential.
Additional Details
Accreditation: QCTO/SAQA; compares to Grey Campus/IBM cert (UAE/USA) and Microsoft Azure AI Fundamentals.
Unique Features: Focus on entry-level AI, Python/TensorFlow labs, ethical/responsible AI.
Enrollment: Limited cohorts; apply online with RPL/special options.
Contact: 010 158 4346 or melsoftacademy.com. Transitions to Melsoft International School post-Dec 2025.
This program bridges AI skills gaps, enabling human-AI synergy.
Advantages
Lifetime access
Elevate your career with our course's lifetime access. Stay updated, revisit key concepts, and enjoy a perpetual competitive edge in your field.
Practice-based lessons
Immerse yourself in hands-on learning through our practice-based lessons, designed to provide practical skills and real-world insights.
Quarterly updates
Our mentors review the course syllabus once in a quarter and once you have a lifetime access you’ll also be able to see those updates
