7000016458 - Lead Provider for Women's AI & Data Science Bootcamp
Transaction/Bid No.: 7000016458
Project Processing No.: G-012166-001
Country: Tanzania
Type of Procedure: Public Invitation to Tender
GIZ/DTC/7000016458/2026 - Tender Invitation for Lead Service Provider for the Roll-out of AI And Data Science Bootcamp for Women in Tanzania
YOUR OPPORTUNITY TO SHAPE THE LOCAL AI ECOSYSTEM
The Digital Transformation Centre (DTC) Tanzania is inviting applications from local Tanzanian partners to act as the Lead Service Provider (Consortium) for the implementation of the AI and Data Science Bootcamp for Women in Tanzania.
The AI and Data Science Bootcamp for Women in Tanzania is a six-month intensive capacity-building initiative designed to equip women with practical and market-relevant skills in AI and data science. This Bootcamp’s focus is on enhancing employability, job readiness, and access to opportunities within the digital economy, while also offering exposure to innovation and solution development as an added advantage.
The DTC Tanzania strives to strengthen Tanzania’s digital ecosystem and human expertise on digital approaches in gender equality and human rights. How? Through locally driven digital transformation solutions and promoting inclusive participation in the digital economy. The DTC seeks a consortium of partners who will form a team to implement this project.
The lead service provider will be working in tandem with the DTC Tanzania, for the successful delivery of the bootcamp through overall coordination, smooth operational execution and oversight of the programme, including managing timelines, coordinating key stakeholders such as trainers, mentors, and ecosystem partners, participant onboarding and support alignment with DTC objectives.
This consultancy offers a unique opportunity to contribute to advancing gender equality and strengthening women’s participation and pathway development in Tanzania’s digital transformation agenda. |
| Interested candidates should download the tender documents below, no later than 31st July 2026. |