In an era where AI drives innovation across industries, mastering AI tools and frameworks is essential for modern developers.
This workshop provides a deep dive into advanced AI capabilities integrated with the .NET ecosystem, emphasizing practical skills for building intelligent applications.
Explore cutting-edge technologies such as Semantic Kernel, RAG architecture, Hybrid Search, and ML.NET while leveraging the latest advancements in .NET 9 to unlock new possibilities in AI development.
By understanding how to integrate AI into your .NET applications, you’ll gain:
Competitive Advantage: Stay ahead in the rapidly evolving tech landscape by mastering advanced AI tools within the .NET ecosystem.
Increased Productivity: Automate complex tasks and streamline workflows using AI-driven solutions.
Future-Ready Skills: Learn how to harness modern frameworks and architectures for scalable, intelligent application development.
Topics
Introduction to Generative AI
Announcing .NET 9!
.NET AI Ecosystem
AI Building Blocks for .NET
Semantic Kernel
RAG (Retrieval-Augmented Generation) Architecture
Hybrid Search
Introduction to ML.NET
Objectives
Integrate AI capabilities into your applications with confidence.
Solve complex problems using cutting-edge AI tools in .NET.
Build scalable and efficient AI-driven solutions that enhance business outcomes.
Lead AI-based projects with a deep understanding of modern AI architectures and tools.
Key Benefits
Hands-On Experience: Gain practical knowledge with hands-on exercises and real-world examples.
Modern Tools: Learn the latest features in .NET 9 and its AI ecosystem.
Actionable Insights: Develop a strong foundation to build AI-driven applications using Semantic Kernel, RAG architecture, Hybrid Search, and ML.NET.
Scalable Solutions: Understand how to architect AI applications for scalability and performance.