Gauteng Graduates Can Build Careers in Artificial Intelligence, Data Science and Software Development
As demand for Artificial Intelligence (AI) and digital technology professionals continues to grow across South Africa, LadyCode has opened applications for its 2026 Data Science and Software Development Learnership Programme, giving graduates an opportunity to gain practical workplace experience while receiving a monthly stipend.
The 12-month programme is aimed at graduates who hold a SETA-accredited NQF Level 5 qualification or higher in either Data Science or Software Development. Participants will gain exposure to real industry projects while developing technical and workplace skills needed in today’s rapidly evolving digital economy.
With employers increasingly seeking professionals who understand AI, software engineering, cloud technologies, and data analytics, this learnership offers graduates an opportunity to strengthen their employability and prepare for careers in one of the world’s fastest-growing industries.
Programme Summary
| Programme | Data Science & Software Development Learnership 2026 |
|---|---|
| Organisation | LadyCode |
| Programme Type | Learnership |
| Location | Gauteng |
| Duration | 12 Months |
| Monthly Stipend | Paid |
| Closing Date | 15 July 2026 |
| Industry | Information and Communication Technology (ICT) |
About the Learnership
The LadyCode Learnership combines structured learning with workplace experience, allowing graduates to apply their academic knowledge in professional technology environments.
Throughout the programme, learners will work alongside experienced professionals while developing technical competencies and business skills required in the ICT industry.
The learnership is designed to prepare graduates for careers in emerging technologies that continue to reshape businesses across South Africa and globally.
Learning Areas
Participants may gain practical experience in areas including:
Artificial Intelligence
Develop an understanding of AI concepts and how intelligent systems are transforming modern industries.
Data Science
Learn how to collect, organise and analyse data to support business decision-making and innovation.
Software Development
Gain exposure to software design, application development, programming, testing and maintenance.
Digital Problem Solving
Strengthen analytical thinking and develop practical solutions using modern technology tools.
Professional Workplace Skills
Improve communication, teamwork, time management and project collaboration in a professional environment.
Who Can Apply?
Applicants must have:
- A SETA-accredited qualification
- NQF Level 5 or higher
- Qualification in Data Science or Software Development
- A strong interest in technology and innovation
Graduates who demonstrate curiosity, adaptability and a willingness to learn are encouraged to apply.
Why This Learnership Is Worth Considering
South Africa’s technology sector continues to experience strong demand for skilled professionals.
By participating in this programme, learners can benefit from:
✔ Paid workplace experience
✔ Exposure to real technology projects
✔ Industry-relevant technical training
✔ Professional mentorship
✔ Workplace readiness skills
✔ Improved employment prospects
These experiences can help graduates transition more confidently into permanent employment within the ICT sector.
Career Opportunities
Completing the programme may prepare learners for entry-level roles such as:
Data and Analytics
- Junior Data Analyst
- Data Technician
- Business Intelligence Assistant
Software Development
- Junior Software Developer
- Web Developer
- Application Support Technician
- Software Tester
Emerging Technologies
- AI Support Assistant
- Automation Technician
- Digital Solutions Consultant
Technology professionals continue to enjoy strong career prospects across banking, healthcare, retail, telecommunications, education, mining and government.
Growing Demand for Digital Skills
Digital transformation has accelerated across almost every industry.
Organisations increasingly require employees with knowledge of:
- Artificial Intelligence
- Machine Learning
- Software Engineering
- Cloud Computing
- Data Analytics
- Cybersecurity
- Digital Automation
Graduates who combine recognised qualifications with practical experience are often better positioned to compete in the job market.
How to Apply
Applicants should email:
- Updated Curriculum Vitae (CV)
- Certified Qualifications
Email Applications To
Applicants should ensure that all documents are complete and submitted before the application deadline.
Important Closing Date
📅 15 July 2026
Applications received after the closing date may not be considered.
Expert Career Perspective
Technology remains one of South Africa’s fastest-growing employment sectors, with employers increasingly seeking graduates who possess both technical expertise and practical workplace experience.
Structured learnerships help bridge the gap between academic learning and industry expectations by allowing graduates to develop confidence while working in professional environments.
As Artificial Intelligence and digital technologies continue to influence every sector of the economy, opportunities for skilled technology professionals are expected to remain strong.
Final Thoughts
The LadyCode Data Science and Software Development Learnership 2026 provides graduates with an opportunity to gain valuable workplace experience while developing skills in some of today’s most in-demand technology fields.
For graduates interested in Artificial Intelligence, Data Science or Software Development, this programme offers a practical pathway towards building a successful career within South Africa’s growing digital economy.
Sources and References
- LadyCode Learnership Programme Advertisement 2026
- South African Qualifications Authority (SAQA)
- Sector Education and Training Authorities (SETAs)
- National Digital and ICT Skills Development Initiatives
Editorial Transparency
This article is intended for educational and informational purposes only. Programme details are based on the official learnership advertisement provided by LadyCode. Applicants should confirm all eligibility requirements, programme information and application procedures directly with the organisation before submitting an application.
Published: June 2026
Category: ICT Learnerships, Artificial Intelligence, Software Development, Data Science, Graduate Opportunities
