AI & .NET

7 weeks

Duration

Limited spots

Group Size

Intermediate

Level

7-Week Cohort

Build a Full-Stack AI App with .NET

A 7-week intensive cohort to build AI features using .NET. Ship your first AI feature, not just learn theory.

What you'll achieve:

Ship your first AI feature within 7 weeks
Build a Budget Tracker app with AI categorization and RAG capabilities
Master agent workflows and Model Context Protocol (MCP) servers
Learn prompt optimization and token management
Implement semantic search with vector databases

Prerequisites:

Git and API-building experience
Server-side C# coding knowledge
Basic JavaScript and web development understanding
.NET 9, Docker, GitHub account
Azure account (minimal costs expected)
No prior AI/ML experience required

View Upcoming Sessions Request Custom Workshop

Gui Ferreira

Microsoft MVP & .NET Educator

"Deliver an AI feature in production, not a playground."

If you've been wanting to integrate AI into your .NET applications but don't know where to start, this cohort is for you.

This isn't about learning AI theory. It's about shipping real AI features that users will actually use.

Over 7 weeks, you'll build a complete Budget Tracker application with:

AI-powered transaction categorization - Automatically classify expenses
Smart description enhancement - Let AI improve transaction descriptions
Intelligent CSV detection - Parse any CSV format automatically
Semantic search with RAG - Find transactions using natural language
Agent workflows - Build AI agents that can use tools and make decisions
MCP servers - Extend AI capabilities with custom integrations

Why a cohort format?

Learning AI development works best with:

Fixed timeline - Stay on track with weekly milestones
Community support - Learn alongside other .NET developers
Live feedback - Get your questions answered in real-time
Practical projects - Build something you can show in your portfolio

By the end of this cohort you will:

Ship your first AI-powered feature
Understand how to integrate LLMs into .NET applications
Master prompt engineering and token optimization
Implement RAG and semantic search with vector databases
Build autonomous agents with tool-calling capabilities
Create MCP servers to extend AI functionality
Have a complete production-ready application in your portfolio

All using C# .NET 9, Azure OpenAI, and modern development practices.

Is this cohort for you?

Want to build AI features in production? Then yes, this cohort is for you.

If you've built C# .NET applications and APIs, you're ready to start. No AI or ML background needed. We'll teach you everything from scratch.

This is hands-on learning. Expect to code every week, push to GitHub, and build real features. If you prefer passive video watching, this isn't for you.

What will you need?

Come prepared with:

Your favourite IDE (Visual Studio, JetBrains Rider, VS Code, Cursor, etc.)
.NET 9 SDK
Docker (for local development)
Git & GitHub account
Azure account (minimal costs)
3-6 hours per week for lessons and practice

What's included:

7 weeks of lessons (starts January 5, 2026)
Complete GitHub repository
Private developer community
All recordings and materials
Money-back guarantee after Week 1

Secure My Spot →

Questions? - Email gui@guiferreira.me

Curriculum

A hands-on 7-week journey where you'll build a real production application with AI capabilities, from foundation to deployment.

Week 1: Foundation & AI-Assisted Development

3-6 hours

Set up your development environment and start leveraging AI in your workflow from day one.

Key Topics:

Project setup and architecture overview
Introduction to AI-assisted development
Building the basic Budget Tracker structure
Setting up Azure OpenAI integration

Week 2: LLM Fundamentals & Azure Integration

3-6 hours

Understand how Large Language Models work and integrate them into .NET applications.

Key Topics:

LLM fundamentals and capabilities
Azure OpenAI service setup and configuration
Token management and optimization
First AI feature integration

Week 3: Description Enhancement & Categorization

3-6 hours

Build AI-powered features to enhance and categorize budget entries automatically.

Key Topics:

AI-powered description enhancement
Automatic transaction categorization
Prompt engineering best practices
Error handling and fallback strategies

Week 4: Smart CSV Format Detection

3-6 hours

Implement intelligent CSV parsing that adapts to different formats automatically.

Key Topics:

CSV format detection with AI
Dynamic parsing strategies
Data validation and transformation
User feedback integration

Week 5: RAG & Semantic Search

3-6 hours

Implement Retrieval-Augmented Generation and semantic search using vector databases.

Key Topics:

Vector databases fundamentals
Embeddings and similarity search
RAG architecture and implementation
Semantic search capabilities

Week 6: Agent Loops & Tool Calling

3-6 hours

Build autonomous AI agents that can use tools and make decisions.

Key Topics:

Agent architecture patterns
Tool calling and function execution
Agent loop implementation
Decision-making strategies

Week 7: Model Context Protocol (MCP)

3-6 hours

Create MCP servers to extend AI capabilities with custom tools and data sources.

Key Topics:

Model Context Protocol overview
Building custom MCP servers
Integration with AI applications
Production deployment considerations

Upcoming Sessions

Join our next available sessions. Limited seats available.