Volunteer Online Machine Learning Training Support

The online volunteers are expected to deliver minimum 8 live lectures(online) on Machine Learning. The materials for Machine Learning are present.

We are recruiting 1 Online Volunteer to deliver live training on Machine Learning and Generative AI course for the Innovation Campus programme under the guidance of the team focal point:

The Online Volunteer will:

- Review and improve 8 existing SDG AI Lab slide decks which are for training materials for Data Analysis, Modelling, Generative AI, Git & GitHub, Docker, and Deployment.
- Prepare one pre-recorded demonstration for each topic of the three topics: Data Analysis, Modelling, Generative AIGit & GitHub, Docker, and Deployment, delivered before the corresponding live sessions
- Deliver 8 live online lectures (one each on Data Analysis, Modelling, Git & GitHub, Docker, and Deployment), Generative AIincluding practical live coding demonstrations.
- Answer participants' questions during the live sessions.
- Provide brief documentation summarizing the updates made to the training materials.

Time Allocation (11–15 hours/week)
• Preparation & material improvement (reviewing/improving slides, building demos): ~6–8 hrs
• Live teaching & coding sessions: ~2–3 hrs
• Student support (Q&A, chat, follow-up): ~2–3 hrs
• Coordination meetings with SDG AI Lab: ~1 hr
Schedule: Evening sessions on weekdays and morning sessions on weekends.

Target Audience

Participants are Innovation Campus students with a beginner technical background (basic programming familiarity, limited prior DevOps exposure). Expected class size is approximately 50 participants. Sessions are conducted in English/Turkish.