Transition from C# and .NET development to AI engineering by leveraging your existing Microsoft ecosystem expertise. As a C# developer, you already possess powerful transferable skills, strong object-oriented programming fundamentals, experience with async/await patterns, LINQ for data manipulation, and familiarity with Azure cloud services. These form an excellent foundation for AI engineering. This path emphasizes Microsoft's AI tooling first: Azure AI Services for production-ready APIs, ML.NET for custom machine learning models, and Semantic Kernel for building AI agents and orchestration. You'll learn to integrate LLMs into enterprise .NET applications before expanding to Python and the broader AI ecosystem. The Microsoft stack offers unique advantages for enterprise AI: seamless integration with existing .NET codebases, enterprise-grade security, and tools like Azure OpenAI Service that many organizations prefer. Your understanding of dependency injection, middleware patterns, and structured code architecture translates directly to building maintainable AI systems. Timeline: 4-6 months of focused learning.
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build
Skills You'll Build