My first online session as part of the Azure AI Fundamentals Series! An in-depth exploration of Azure AI Foundry with a special focus on Prompty tooling and capabilities.
Session Overview
This virtual session provided a comprehensive overview of Azure AI Foundry and introduced Prompty as a powerful development tool for AI solutions.
Key Topics Covered:
- End-to-end Azure AI Foundry journey
- Prompty deep dive and practical applications
- Building AI solutions from concept to deployment
- Interactive Q&A with participants
Technical Challenges: Time Zone Mix-up
The Learning Experience: The session was postponed for over a week because I miscalculated the hours—did +1 instead of -1 (rookie mistake). I even posted about it, and a friend commented that these are the kinds of problems they wish they had. That made me feel a bit better after the initial panic of canceling a session over a simple miscalculation.
I was mentally beating myself up over it, but the reassurances from my teammates got me back on track. So, next time your brain fails you because of time zones, don’t stress. It happens! And sometimes, the only solution is to not beat yourself up over it.
💡 Don’t beat yourself up over honest mistakes. Time zone errors happen to everyone - the important thing is to learn and move forward.
Prompty Deep Dive
What is Prompty?
Prompty serves as a bridge beyond simple API calls when working with AI models, allowing you to create a custom model playground directly in Visual Studio Code.
Three Main Components:
- Specification (.prompty file)
- Prompty file format using markdown with front matter
- Structured approach to prompt engineering
- Version control friendly format
- Tooling (VS Code Extension)
- Integrated development experience
- Syntax highlighting and IntelliSense
- Real-time prompt testing and validation
- Runtime (Prompty to Code)
- One-click conversion to production code
- Support for multiple frameworks:
- Python
- C#
- Semantic Kernel
- LangChain
Why Prompty Matters
Prompty transforms prompt engineering from ad-hoc API calls into a structured, repeatable development process with proper tooling support and code generation capabilities.
Participant Feedback
Received heartwarming feedback that made the entire session worthwhile:
🗨️ “The Microsoft learning challenge has been very key in preparing me for the series presentations and understanding the Azure landscape”
This type of feedback reinforces the impact these sessions have on participants’ learning journeys and professional development.
👉 Try it out today: prompty.ai
Future Sessions
This session is part of the ongoing Azure AI Fundamentals Series on Microsoft Reactor, providing continuous learning opportunities for the community.
Resources
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