Brief description of the workshop: what it is, why it matters, and who it’s for.
What will participants learn, build, or walk away with?
Who should attend? Be specific about professional roles, interests, or backgrounds.
(e.g., Responsible AI, ML on Kubernetes, Prompt Engineering, Reproducible Pipelines)
In-person / Virtual / Hybrid
Length (e.g., 90 minutes, 3 hours, full-day, multi-day)
(Optional) List preferred date or time windows.
Beginner / Intermediate / Advanced
Briefly describe who this is ideal for.
What should participants know or be familiar with before attending?
(e.g., Python, Docker, Git, cloud basics)
Share resources attendees can use to prepare:
- Reading list
- Example repos
- Online tutorials
- Introductory videos
Describe how much effort it would take for a participant to replicate the workshop setup on their own:
- Setup time estimate
- Infrastructure required (e.g., GPU, cloud account, access to data)
- Links to setup scripts, Terraform, or Dockerfiles if available
Do you need cloud credits, GPUs, shared compute environments, or pre-deployed platforms?
Do users need to create accounts (e.g., GitHub, Hugging Face, cloud providers) prior to your event?
Will they need to install tools or request access to shared platforms?
How many attendees can the workshop reasonably support with current resources? If you are not sure yet, answer "TBD".
Break down any expected costs (can be approximate):
- Cloud credits: $___
- Platform licensing: $___
- Swag/snacks/logistics (if in-person): $___
- Speaker/facilitator honorarium: $___
- Other: $___
List roles you're looking for help with:
- Co-facilitator
- Technical support
- Moderators
- Note takers
- Marketing/promotion
Are you partnering with another organization? Would a sponsor be helpful?
(e.g., Slide deck, GitHub repo, recorded session, participant guide, post-event blog)
Name:
Email:
LinkedIn:
GitHub or Slack handle: