AI prompt engineering Training for customer service teams
StreamAlive helps 9x the audience engagement in your Virtual Instructor-led Trainings (VILT).
Make your instructor-led AI prompt engineering training more fun with polls, word clouds, spinner wheels and more
Works inside your existing PowerPoint presentation
Install the StreamAlive app for PowerPoint and see your slides come to life as people participate in your interactions
AI generates audience interactions for you
Let our AI scan your presentation and automatically come up with relevant questions based on the content. Or spend two hours coming up with your own questions, your choice!
Built to work with MS Teams and Zoom
Native apps for Teams and Zoom so you never have to leave your existing workflows
No QR Codes
Chat-powered interactions means your audience doesn’t need to scan QR codes or look at another screen to participate. They just type in the chat!

Quickly approved by your IT team
StreamAlive’s apps for Teams and Zoom means that they have been through rigorous quality assurance and client safety reviews. You’ll find everything an IT team needs to approve the app within the organization within your StreamAlive account.

Youve been asked to conduct AI prompt engineering training for customer service teams and you want to make the session fun and interesting. Lets see how to make that happen.
Put Your Audience on the Map
Breaking the ice is vital! Start off by asking your team, "Where in the world are you joining us from?" You can use StreamAlive's Magic Maps to see everyone's location pop up in real-time. It's a great way to connect and make everyone feel part of a global team.

Check the AI Knowledge Pulse
Want to quickly gauge the team's existing knowledge of AI prompt engineering? Use Rating Polls to see where everyone stands. Ask questions like, "On a scale of 1 to 5, how familiar are you with AI prompt engineering?" Its an instant insight into your starting point.

Express with Words
Capture how the team feels about the new AI training with Wonder Words. Ask them to share their initial thoughts about AI prompt engineering. Words like 'excited,' 'nervous,' or 'curious' can fill the cloud, giving you a quick glance at the team's sentiments.

Impact Visualized
Use Talking Tiles to visualize the team's perspective on AIs impact. Ask, "How does AI prompt engineering affect your current role?" Watch as their responses cascade down the screen, creating a dynamic picture of varied insights.

Whats on Their Minds?
Curious what the team wants to learn more about? Use Power Polls to ask, "Which aspect of AI prompt engineering are you most interested in?" Tailor your training based on their responses to enhance engagement and relevance.

Volunteer Roulette
Encourage participation with a bit of fun using the Spinner Wheel. Ask for a volunteer to share their experience or insights on AI prompt engineering, but let the wheel decide who will have the spotlight!

Test the Waters
Create a little friendly competition with a Quiz. Ask something like, "Which AI model is based on neural networks?" Use it as an engaging way to review key concepts and ensure comprehension.

Check the AI Knowledge Pulse
Want to quickly gauge the team's existing knowledge of AI prompt engineering? Use Rating Polls to see where everyone stands. Ask questions like, "On a scale of 1 to 5, how familiar are you with AI prompt engineering?" Its an instant insight into your starting point.

Questions Made Simple
StreamAlives Quick Questions tool lets you seamlessly gather questions from the chat without the need for a dedicated Q&A session. This way, you can ensure every concern is addressed in the context of your training.

Measure Engagement and Success
After the session, use Analytics to see how attendees engaged. Identify the most enthusiastic participants, understand which parts of your session struck a chord, and share these insights with your team for continual improvement.











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StreamAlive isn’t just for
AI prompt engineering
training,
it can also be used for any instructor-led training session
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Interactions in action
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