Graduates Invited to Apply for Paid AI and Technology Learnership Programme
As South Africa’s digital economy continues to expand, organisations are investing in programmes that equip young graduates with future-ready technology skills. Applications are now open for the 2026 Data Science and Software Development Learnership Programme, offering graduates an opportunity to gain practical industry experience while earning a monthly stipend.
Hosted by LadyCode, the 12-month learnership is designed for graduates with SETA-accredited qualifications in Data Science or Software Development who want to build careers in Artificial Intelligence (AI), software engineering, and data-driven technologies.
With businesses across South Africa increasing their investment in digital transformation, cloud computing, cybersecurity, and AI solutions, technology professionals remain among the country’s most sought-after employees.
Learnership Overview
| Programme | Data Science & Software Development Learnership 2026 |
|---|---|
| Organisation | LadyCode |
| Programme Type | Learnership |
| Duration | 12 Months |
| Location | Gauteng |
| Monthly Stipend | Provided |
| Closing Date | 15 July 2026 |
| Industry | Information Technology & Artificial Intelligence |
Why Technology Careers Are Growing in South Africa
Artificial Intelligence, data analytics, and software engineering are transforming industries ranging from banking and healthcare to education, retail, logistics, and telecommunications.
According to industry reports, organisations increasingly require professionals who can:
- Develop software applications
- Analyse business data
- Build AI-powered solutions
- Design cloud-based systems
- Improve cybersecurity
- Automate business processes
Learnerships that combine formal training with workplace experience help graduates build the practical skills employers are looking for.
What the Learnership Offers
Participants will receive structured workplace training while developing technical and professional skills in modern technology environments.
The programme aims to provide exposure to:
Data Science
Learners may develop skills in:
- Data analysis
- Data visualisation
- Statistical modelling
- Machine learning fundamentals
- Business intelligence
Software Development
Participants may gain practical experience in:
- Programming
- Application development
- Software testing
- Database management
- Web development
- Software maintenance
Artificial Intelligence
The programme introduces learners to emerging AI technologies that are increasingly being adopted across industries.
Workplace Experience
Alongside technical training, participants will strengthen:
- Communication skills
- Team collaboration
- Problem-solving abilities
- Professional workplace practices
- Project management fundamentals
Who Can Apply?
Applicants must have:
✔ A SETA-accredited qualification
✔ NQF Level 5 or higher
✔ Qualification in:
- Data Science
OR
- Software Development
Applicants should also demonstrate an interest in technology, innovation, and continuous learning.
Benefits of Joining the Programme
Successful learners will receive:
✔ Monthly stipend
✔ Practical workplace experience
✔ Exposure to industry projects
✔ Professional development
✔ Technical skills training
✔ Improved employability
✔ Experience within South Africa’s growing technology sector
These benefits can help graduates become more competitive in the job market.
Career Opportunities After Completion
Graduates who complete the programme may pursue careers such as:
Data Science
- Junior Data Analyst
- Business Intelligence Analyst
- Data Technician
- Machine Learning Assistant
Software Development
- Junior Software Developer
- Web Developer
- Application Support Developer
- Software Tester
Artificial Intelligence
- AI Support Specialist
- Automation Analyst
- Data Engineering Assistant
Technology careers continue to offer strong long-term employment prospects both in South Africa and internationally.
Why Practical Experience Matters
While academic qualifications provide theoretical knowledge, many employers seek graduates with practical workplace exposure.
A learnership allows participants to:
- Apply technical knowledge to real projects
- Learn from experienced professionals
- Build industry networks
- Gain confidence in workplace environments
- Develop problem-solving skills
This combination of education and experience can significantly improve future employment opportunities.
How to Apply
Interested candidates should submit:
- Updated Curriculum Vitae (CV)
- Certified Qualifications
Email Applications To
Applicants should ensure that all documents are complete and submitted before the closing date.
Important Closing Date
📅 15 July 2026
Late applications may not be considered.
Expert Career Insight
Technology remains one of the fastest-growing employment sectors globally.
Graduates with practical experience in Artificial Intelligence, Data Science, and Software Development are increasingly sought after by employers across finance, healthcare, telecommunications, retail, mining, manufacturing, and government sectors.
Participating in a structured learnership can help graduates bridge the gap between academic learning and industry requirements.
Final Thoughts
The LadyCode Data Science and Software Development Learnership Programme offers graduates an opportunity to develop valuable technical skills while gaining practical workplace experience in South Africa’s rapidly growing technology sector.
For graduates looking to launch careers in Artificial Intelligence, software engineering, or data analytics, this programme provides an excellent opportunity to build industry experience while earning a monthly stipend.
Sources and References
- LadyCode Learnership Advertisement 2026
- South African Qualifications Authority (SAQA)
- Sector Education and Training Authorities (SETAs)
- ICT Skills Development Initiatives
Editorial Transparency
This article is published for educational and informational purposes only. Applicants should verify programme requirements, qualification criteria, and application procedures directly with LadyCode before applying.
Published: June 2026
Category: ICT Learnerships, Artificial Intelligence, Data Science, Software Development, Graduate Opportunities
