.NET 8 & AI in Action: Building a Real-World Resume Screener
Last updated 11/2025
Duration: 3h 56m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 1.58 GB
Genre: eLearning | Language: English
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 8with the latest inAI 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 withC# and .NET 8
Implement AI-powered text processing usingFastAPIas an AI microservice layer
Extract and process resume data withPDF parsingandVector Embeddingsfor intelligent search and ranking
Store and query embeddings efficiently inPostgreSQL with PGVector
UseRabbitMQfor 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 indistributed systems,asynchronous processing, andreal-time data pipelineswhile learning how to make AI work for practical business problems.
This course is perfect for developers, data engineers, and AI enthusiasts who want to seeAI and .NET in a real production workflow. No prior AI expertise is required-we'll walk through each component step-by-step, fromFastAPIsetup tovector search queries.
By the end, you'll have aportfolio-ready, production-grade AI resume screenershowcasing 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.
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