Software Development with AI Integration Learnership (Abled and PWD Learners)

1. Age

• Between 22 and 28 years old at the time of application.

2. Qualification

Applicants must possess one of the following qualifications:

• Diploma or Degree in Data Analytics
• Data Science
• Information Technology
• Computer Science
• Information Systems
• Software Development
• Business Intelligence
• Applied Mathematics
• Actuarial Science
• Computer Engineering
• Artificial Intelligence
• Machine Learning
• Digital Technologies
• BSc Computer Science
• Statistics graduates
• Mathematics graduates
• Information Systems graduates
• Data Science graduates
• BEng graduates

Applicants with relevant occupational certificates in Data Analytics or Data Science may also be considered.

3. Technical Knowledge

Applicants should demonstrate knowledge of at least some of the following:

• Microsoft Excel (Intermediate to Advanced)
• Data analysis
• Data visualisation
• Database concepts
• SQL
• Python (preferred)
• Power BI or Tableau
• Microsoft Office Suite
• Basic statistics
• Data cleaning and preparation

4. Artificial Intelligence Readiness

Because this programme includes AI Integration, applicants should demonstrate interest or experience in:

• Generative AI tools
• ChatGPT or Microsoft Copilot
• AI-assisted research
• Prompt engineering
• Automation
• Digital transformation
• Responsible use of AI

Formal AI certification will be advantageous but is not mandatory.

5. IT Competencies

Candidates should have an understanding of:

• Computer hardware fundamentals
• Networking basics
• Cloud computing concepts
• Cybersecurity awareness
• File management
• Microsoft 365

Knowledge of Microsoft Azure or AWS would be advantageous.

6. Project Skills

Candidates should understand basic project management concepts such as:

• Planning
• Scheduling
• Documentation
• Stakeholder communication
• Reporting

Experience using any project management software will be advantageous.

Examples include:

• Microsoft Planner
• Microsoft Project
• Jira
• Trello
• Asana
• Monday.com

This aligns well with Diana's emphasis on introducing structured project management tools and digital work management.

7. Analytical Skills

Applicants should be able to demonstrate:

• Logical thinking
• Problem solving
• Critical thinking
• Pattern recognition
• Numerical reasoning
• Attention to detail

8. Communication Skills

Applicants should have:

• Good written English
• Professional communication skills
• Ability to present information
• Report writing skills

9. Work Readiness

Applicants should:

• Be unemployed
• Be available for the full learnership duration
• Be committed to learning
• Be willing to attend workplace training
• Be willing to travel if required

Advantageous Certifications

Candidates who possess any of the following certifications will receive preference:

Microsoft

• Microsoft Excel Associate
• Microsoft Power BI Data Analyst
• Microsoft Azure Fundamentals (AZ-900)
• Microsoft AI Fundamentals (AI-900)
• Microsoft Data Fundamentals (DP-900)

Google

• Google Data Analytics Professional Certificate

IBM

• IBM Data Analyst
• IBM Data Science Professional Certificate

Cisco

• Cisco Data Analytics Essentials

Oracle

• Oracle Database Foundations

AWS

• AWS Cloud Practitioner

Behavioural Competencies

Successful candidates should demonstrate:

• Curiosity
• Adaptability
• Continuous learning mindset
• Innovation
• Integrity
• Teamwork
• Initiative
• Accountability
• Time management
• Resilience

Required Documents

Applicants must submit:

• Updated CV
• Certified copy of ID
• Certified qualification(s)
• Academic transcript
• Proof of residence
• SARS Tax Number (if available). CVs to be send to

Pay: R6 500,00 - R7 000,00 per month

Work Location: In person