Description
.NET 8 & AI in Action: Building a Real-World Resume Screener. This course teaches you how to design, develop, and deploy a complete resume screening system using .NET 8 and AI technologies. This hands-on training covers the entire path from idea to finished product, including how to build backend APIs with C# and .NET 8, implement intelligent text processing with FastAPI as an AI microservice, and extract and process resume data by parsing PDFs and creating vector embeds. It also covers how to efficiently store and search these embeds in PostgreSQL using PGVector, establish reliable communication between services with RabbitMQ, and design a microservice architecture for parsing, scoring, and matching candidates. Participants learn how to build RESTful endpoints to connect the backend to the frontend and integrate AI models to automatically rank applicants based on job descriptions. This course does not require any specialized AI background and covers every step, from setting up FastAPI to running vector search. By the end, you will have built a production-level screening system ready to showcase in your personal portfolio, along with experience in distributed systems, asynchronous processing, and real-time data pipelines, demonstrating valuable skills in .NET 8, FastAPI, PostgreSQL, RabbitMQ, vector search, and AI integration.
What you will learn
- Design and develop a .NET 8 application that integrates artificial intelligence to automate resume screening and candidate ranking.
- Implementing artificial intelligence models to extract, process, and analyze resume content to identify relevant skills and experiences.
- Building RESTful APIs in .NET 8 to manage job postings, candidates, and AI-based ranking results.
- Deploy and test a fully functional AI resume screening system for real-world hiring workflows.
This course is suitable for people who:
- Aspiring .NET developers who want to learn by building a real AI application.
- Software engineers looking to integrate AI models into C#/.NET 8 projects.
- Students or professionals interested in applying machine learning to solve recruitment and human resources (HR) automation problems.
- Data enthusiasts looking for hands-on experience combining AI with backend development.
- Developers moving from another language or framework to the .NET ecosystem.
Course details
- Publisher: Udemy
- Instructor: Manish Narayan
- Training level: Beginner to advanced
- Training duration: 6 hours and 24 minutes
Course syllabus on 2025/11
Prerequisites for the .NET 8 & AI in Action: Building a Real-World Resume Screener course
- 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.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.9 GB
