Applying agentic AI in social impact & stakeholder engagement (L3)

USD 0.00

Next course date: TBA

The aim of this course is to equip social impact & stakeholder engagement practitioners with the understanding of, and ability to design, basic multi‑agent systems and orchestrated workflows that automate and scale complex social impact research, data analysis, SIA, evaluation, and reporting tasks.

Risks and ethical considerations for using agentic AI in social impact measurement & stakeholder engagement practice will also be a focus.

Note: This course provides general guidance rather than specific AI agentic tool set-up technical training. This is so the content is accessible to participants that may only have access to free AI platform subscriptions.

Who it’s for

  • Social impact & social safeguard professionals

  • SIA practitioners, evaluators

  • Community & stakeholder engagement specialists

  • Local government staff

  • Practitioners that want to develop more advanced AI application skills, beyond foundations and prompt engineering basics

  • Organisations in infrastructure & development building internal AI capability

Next course date: TBA

The aim of this course is to equip social impact & stakeholder engagement practitioners with the understanding of, and ability to design, basic multi‑agent systems and orchestrated workflows that automate and scale complex social impact research, data analysis, SIA, evaluation, and reporting tasks.

Risks and ethical considerations for using agentic AI in social impact measurement & stakeholder engagement practice will also be a focus.

Note: This course provides general guidance rather than specific AI agentic tool set-up technical training. This is so the content is accessible to participants that may only have access to free AI platform subscriptions.

Who it’s for

  • Social impact & social safeguard professionals

  • SIA practitioners, evaluators

  • Community & stakeholder engagement specialists

  • Local government staff

  • Practitioners that want to develop more advanced AI application skills, beyond foundations and prompt engineering basics

  • Organisations in infrastructure & development building internal AI capability