Prompt Engineering for Solution Architects | BestITCourses
Prompt Engineering for Solution Architects | Live Session Most people use AI by asking questions. Solution Architects should use AI by engineering prompts. In this live session, you’ll learn how to use AI as a real architecture partner instead of just a code generator. If your AI output feels: - Generic - Not secure - Not production-ready - Missing edge cases this session will help you fix that. Why Normal Prompts Fail Typical prompts like “Write an authentication API” often result in: - Generic code - No security checks - Missing error handling - Poor architecture fit - Multiple rounds of rework This is the core reason many teams struggle with AI-generated code. What You’ll Learn in This Session 1. Architect Mindset Shift - Understand the difference between: - User mindset - “Give me code for X” - Architect mindset “Given this architecture, constraints, and scale” This shift alone improves output quality significantly. 2. CRISPE Prompt Engineering Framework - A structured framework designed for architects: - Context – system landscape and tech stack - Role – assign AI as architect or security expert - Instructions – clear step-by-step tasks - Specifics – performance, scale, compliance - Persona – ADR or system design format - Examples – expected output structure Most prompts fail because context and specifics are missing. 3. Before vs After Comparison - You’ll see a real example where: - Normal prompt results in: - Insecure design - Generic implementation - CRISPE-structured prompt results in: - Production-ready output - Architecture-aligned solution 4. Architecture-Level Prompt Patterns - Learn reusable prompt patterns for: - Architecture and design documents - Code review and analysis - System design and scalability planning - Migration and modernization strategies - These patterns can be reused across real projects. 5. Think Before Coding - Learn how to guide AI to: - List assumptions - Identify edge cases - Define approach - Then write code - This reduces bugs and improves design quality. 6. Quality Gates for AI Output - Learn how to validate AI-generated output using: - Security checks - Architecture fit validation - Performance considerations - Edge case handling - The rule is simple: never trust blindly, always verify. 7. Live Demo: Healthcare System Design - A real-world demo covering: - Healthcare prior authorization workflow - HIPAA and SOC2 compliance - High availability and performance - Audit trails - Multiple external system integrations - Designed using structured prompt engineering. 8. Common Mistakes to Avoid - Avoid common AI development mistakes such as: - Copy-pasting without review - Writing vague prompts - Using one-line prompts - Ignoring system context - Blindly trusting AI output - You’ll also learn how to fix each of these. - Prompt Engineering Toolkit Key Takeaways - Engineer prompts instead of asking questions - Context matters more than prompts themselves - Use the CRISPE framework - Always verify AI output - Build your own prompt library - Stop prompting incorrectly. Start engineering prompts properly Join Our AI for Developers Whatsapp Community for FREE Webinars ,Tech Updates , Tips and many more: https://tinyurl.com/42y858sr #bestitcourses #deccansoft #bestdotnettraining #Sandeepsoni 📲 Connect with me 👋 Connect with me on LINKEDIN ► https://www.linkedin.com/in/sandeepsoni123/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Please do subscribe so we reach our goal faster :) https://www.youtube.com/user/Deccansoft123 👨🏻🏫 This complete tutorial is compiled by Sandeep Soni, a Microsoft Certified Trainer, a Software & Corporate Trainer for 29years! For more information of this course, check out our Website: https://www.bestitcourses.com
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