Home Events Intelligent Design Patterns for AI-Driven .NET Systems

Intelligent Design Patterns for AI-Driven .NET Systems

Description

This course introduces developers to advanced design patterns tailored for building AI-driven systems in the .NET ecosystem. Participants will explore how traditional software design patterns evolve when integrating Generative AI, LLMs, and agent-based workflows. The course covers patterns for prompt orchestration, tool integration, RAG pipelines, and AI-enabled decision systems. It also addresses architectural concerns such as modularity, scalability, and maintainability in AI-native applications. Through hands-on labs, learners will implement intelligent patterns using ASP.NET Core, integrating AI services into clean and extensible architectures. Emphasis is placed on controlling AI behavior, ensuring reliability, and applying best practices in production environments. By the end of the training, participants will be able to design robust, reusable patterns for AI-enhanced .NET systems.

 

🕒 Duration: 12 hours

👥 Target Audience:

  • Roles: .NET Developer, Backend Developer, Software Engineer, ΑI Engineer

 

  • Seniority: Mid-Senior
Webinar Content

 

Module 1: Foundations of AI Design
 Introduction to AI Design Patterns
  • Traditional vs AI-driven design patterns
  • Challenges in AI system design
  • Overview of intelligent architectures

 

  • AI Practice: Use AI to suggest architecture patterns for a given problem
Prompt & Interaction Patterns
  • Prompt templates and chaining
  • Structured outputs (JSON schemas)
  • Managing context and memory

 

  • AI Practice: Design prompts for reliable API responses
Module 2: Core AI Patterns
 Tool Integration & Function Calling
  • Tool-calling pattern
  • Mapping AI outputs to system actions
  • External API integration

 

  • AI Practice: Implement tool invocation flow using AI-generated schemas
RAG Pattern in .NET
  • Retrieval-Augmented Generation
  • Vector DB integration
  • Context injection strategies

 

  • AI Practice: Build a simple RAG pipeline with AI assistance
Module 3: Advanced Patterns Agent & Workflow Patterns
  • Multi-step reasoning
  • Planner/Executor pattern
  • Agent orchestration

 

  • AI Practice: Design an agent workflow using AI prompts
Module 4: Reliability & Governance Validation, Safety & Observability
  • Guardrails and validation layers
  • Handling hallucinations
  • Monitoring AI behavior

 

  • AI Practice: Add validation and logging to AI-driven components
Learning Objectives:

After attending this webinar participants will be able to:

  • Apply AI-specific design patterns in .NET applications for scalable and maintainable systems
  • Implement prompt orchestration, tool-calling, and RAG patterns effectively
  • Design modular architectures for AI-driven workflows and services
  • Integrate LLM capabilities into existing systems using structured patterns
  • Ensure reliability, validation, and governance in AI-powered applications
Prerequisite Knowledge
  • Basic experience with .NET (ASP.NET Core) and SQL Server
  • Familiarity with software development workflows (Git, APIs, testing)

 

Tags:

Date

28 May 2026, 16:00-19:00

Cost

Free

Labels

AI-Native
Category

Organizer

Code.Hub
Email
[email protected]

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