Learning .NET 8 & AI in Action Building a Real-World Resume Screener

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Free Download .NET 8 & AI in Action Building a Real-World Resume Screener
Last updated 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 27m | Size: 1.58 GB
Master .NET 8 and AI integration by building a real-world resume screening application with C#, APIs, and ML

What you'll learn
Design and develop a .NET 8 application that integrates AI to automate resume screening and candidate ranking.
Implement AI models to extract, process, and analyze resume content for relevant skills and experience.
Build RESTful APIs in .NET 8 to manage job postings, candidates, and AI-powered ranking results.
Deploy and test a fully functional AI resume screener for real-world recruitment workflows.
Requirements
Basic understanding of programming concepts (any language is fine).
Familiarity with C# or .NET is helpful but not required - we'll cover everything you need.
A computer with Windows, macOS, or Linux capable of running Visual Studio or VS Code.
Internet connection for downloading development tools and AI model dependencies.
Enthusiasm to learn and build a real-world AI-powered application.
Description
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 8Implement AI-powered text processing using FastAPI as an AI microservice layerExtract and process resume data with PDF parsing and Vector Embeddings for intelligent search and rankingStore and query embeddings efficiently in PostgreSQL with PGVectorUse RabbitMQ for reliable message-based communication between servicesDesign scalable microservices for parsing, scoring, and delivering candidate matchesBuild RESTful endpoints to connect backend services with frontend applicationsIntegrate AI models to automatically rank candidates based on job descriptionsYou'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.
Who this course is for
Aspiring .NET developers who want to learn by building a real-world AI-powered application.
Software engineers looking to integrate AI models into C#/.NET 8 projects.
Students or professionals interested in applying machine learning to solve hiring and HR automation problems.
Data enthusiasts who want hands-on experience combining AI with backend development.
Developers transitioning from another language or framework into the .NET ecosystem.
Homepage

https://www.udemy.com/course/net-8-ai-in-action-building-a-real-world-resume-screener/

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