Level 3 – Advanced (C# Web Programming Path)
May 2-3, & May 9-10, 2026
Who is this course for?
- SHS Students and Recent Graduates
- Individuals Seeking Career Transitions
- Freelancers and Junior devs with basic c# programming language knowledge
Why choose this course?
- To integrate multi-modal AI capabilities (Text, Vision, and Image Generation) into a production-ready .NET 9 Web Application.
These tools are needed to install:
- Visual studio code – https://code.visualstudio.com/
- Git/Github – https://github.com/git-guides/install-git
Course Outline
Session 1 – Foundations of OpenAI & .NET Integration
Topics:
- Introduction to AI, LLMs, and use cases
- Overview of OpenAI APIs
- .NET Integration Architecture (ASP.NET Core / Console / MAUI)
- API Key management and security (Azure Key Vault optional)
- Installing SDKs / NuGet Packages
- Making first API call (Chat Completion)
Hands On: - Create ASP.NET Core Web API
- Connect to OpenAI API
- Build a simple AI Chat Endpoint
Output: - Working /api/chat endpoint
- Postman testing
Session 2 – Prompt Engineering & Chat Applications
- Topics:
- Prompt Engineering fundamentals
- System, User, Assistant roles
- Context handling and token limits
- Few-shot prompting
- Designing reusable prompt templates
🛠 Hands-on: - Build a Chat UI (MVC or MAUI)
- Implement:
- Chat history
- Context-aware conversation
- Create use cases:
- Customer Support Bot
- FAQ Generator
- Email Generator
📦 Output:
- AI-powered chatbot with memory
- Prompt template library
Session 3 – Advanced Integration (Function Calling & Automation)
Topics:
- Function Calling (Tool usage)
- JSON structured responses
- AI-driven workflows
- Integration with:
- Database (SQL Server)
- External APIs
- Orchestration concepts
🛠 Hands-on:
- Build AI that:
Reads data from database
Calls custom .NET methods - Example:
“Get customer balance”
“Create booking”
📦 Output:
- AI + Business Logic integration
- Smart assistant for CRUD operations
Session 4 – Production-Ready AI Apps & Deployment
Topics:
- Token usage & cost optimization
- Caching strategies
- Logging and monitoring
- Security best practices
- Deployment options:
- Azure App Service
- Docker
- CI/CD using Azure DevOps
🛠 Hands-on:
- Deploy ASP.NET Core AI app to Azure
- Add:
- Logging
- Error handling
- Rate limiting
📦 Output:
- Production-ready AI application
- Deployment pipeline
- Final Project (Optional Across Sessions)
- Build a “Smart Business Assistant”:
- Chatbot + CRUD + Reporting
- Integrated with SQL Server
- Deployed to Azure
New Learner
✅ Digital Cert of Completion
✅ Video Recording of All Live Sessions
✅ Learning materials from our trainer
**The registration fee is all-inclusive, registration for the entire sessions
Early bird promo
**Take advantage of our Early Bird Promo! This discounted rate is exclusively available to new learners who settle their payments early. Secure your slot now to enjoy these savings. 🐦 Register and pay early to unlock our special discounted rate for new learners. Don’t miss out—avail of this promo today!
Discounted rate
✅ Digital Cert of Completion
✅ Video Recording of All Live Sessions
✅ Learning materials from our trainer
**Discounted rate for Repeat attendees
**The registration fee is all-inclusive, registration for the entire sessions
Simeon “Jok” has 20 years of experience in the IT industry as an Azure DevOps Engineer, Web and Mobile Developer. He is a seasoned Senior full-stack developer in the information technology and services sector, proficient in Microsoft .NET Technology and Hybrid Mobile Development.
