.NET 8 & AI in Action: Building a Real-World Resume Screener | Udemy

Are you ready to merge the capabilities of .NET 8 with the latest in AI and modern backend architecture?
In “.NET 8 & AI in Action: Building a Real-World Resume Screener”, you’ll learn how to architect, develop, and deploy an AI-powered resume screening system that mirrors real enterprise solutions.

This hands-on course takes you from concept to production, teaching you how to:

• Build robust backend APIs with C# and .NET 8
• Implement AI-powered text processing using FastAPI as an AI microservice layer
• Extract and process resume data with PDF parsing and Vector Embeddings for intelligent search and ranking
• Store and query embeddings efficiently in PostgreSQL with PGVector
• Use RabbitMQ for reliable message-based communication between services
• Design scalable microservices for parsing, scoring, and delivering candidate matches
• Build RESTful endpoints to connect backend services with frontend applications
• Integrate AI models to automatically rank candidates based on job descriptions

You’ll gain experience in distributed systems, asynchronous processing, and real-time data pipelines while learning how to make AI work for practical business problems.

This course is perfect for developers, data engineers, and AI enthusiasts who want to see AI and .NET in a real production workflow. No prior AI expertise is required—we’ll walk through each component step-by-step, from FastAPI setup to vector search queries.

By the end, you’ll have a portfolio-ready, production-grade AI resume screener showcasing your skills in .NET 8, FastAPI, PostgreSQL, RabbitMQ, Vector Search, and AI integration—all highly valuable in today’s tech job market.