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.