How to Become a Prompt Engineer: Building AI Interactions That Actually Work
Poor prompts produce poor results. Wrong formats, unpredictable output, inconsistent responses. If you have ever struggled to get reliable answers from a generative AI model, the problem almost certainly starts with how the prompt was written. In this practical expert session, Microsoft MVP Tine Staric takes you past trial and error and into the structured, professional approach to prompt engineering that makes the difference between AI that occasionally works and AI that is production-ready.
Drawing on real experience building AI features in Dynamics 365 Business Central, Tine covers the frameworks and techniques that actually move the needle: optimal prompt structures, temperature settings, function calling and designing prompts that hold up under scale and concurrent users.
Walk out with the skills to turn simple requests into sophisticated, reliable prompts that deliver consistent results every single time.
1. Introduction
2. Optimal Prompt Structures
3. Function Calling
4. Scalability
5. Q&A Session
Calendar
Enjoy a discount and leverage your Companial Service Funds.
This course is part of the following learning journeys:
- AI Learning Journey
- Business Central Consultant Learning Journey
- Business Central Developer Learning Journey
- Customer Engagement Learning Journey
- Finance and SCM Developer Learning Journey
- Finance and SCM Functional Consultant Learning Journey
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Who is this course for?
Developers and consultants building or integrating AI features who want to move beyond basic prompting and develop a professional, structured approach to prompt engineering for production environments.
What will you learn?
- How to build prompts with clear structure and examples that produce consistent, parseable results
- How to use temperature settings to control model behaviour and output reliability
- How to leverage function calling to make your AI interactions more precise and powerful
- How to test, iterate and validate your prompts so they perform reliably at scale
- How to design prompts that hold up under real-world conditions, including concurrent users in live environments
- How to move from ad hoc experimentation to a repeatable, professional prompt engineering workflow