Smart Contract Development using C# Language

Agenda:
-Introduction to Blockchain and Smart Contract
-Use case of Blockchain and Smart Contract
-Smart Contract development environment setup.
-Demo on Smart Contract development using Visual Studio and C# language.

Solution Design for Blazor Web Apps with .NET 7

The primary idea in Clean Architecture is to make the solution adaptive, keep the core business or application logic use cases independent of frontend and external frameworks.
Blazor framework is one of the web development platforms for the .Net family that provides the flexibility to develop both backend and front using the same language, C#. It is a component-driven UI framework that takes advantage of shared business objects and code for building applications in both front-end and back-end.
In this session, we will design a clean architecture solution for Blazor Web App and discuss some best practices.

AGENDA

• What is Clean Architecture
• Architecture and Basic Principles behind Clean Architecture
• What is Blazor Web Apps?
• Why we choose Blazor?
• Blazor Server vs Blazor WebAssembly
• Design A Solution following Clean Architecture for Blazor with .NET 7
• Implementing Repository Pattern and Entity Framework with Clean Architecture
• Some best practices and recommendations

ML.NET - Developing a Custom ML Model with ML.NET

ML.NET - Developing a Custom ML Model with ML.NET using visual studio.

Image Analysis using cognitive service in .Net Application

As a developer, sometimes we need to use AI in applications. In this event, we will learn to use cognitive services in the .net application.

The following points will be covered in the session so join the session to learn
-What is cognitive service
-Computer Vision
-How to use computer vision in .Net application for image analysis (Hands-on)

Clean Architecture with .NET 7 using Repository Pattern

AGENDA

• What is Clean Architecture
• Architectural Diagram and Layers of Clean Architecture
• Basic Principles behind Clean Architecture
• Design Solution with Clean Architecture in .NET 7
• Implementing Repository Pattern and Entity Framework with Clean Architecture
• Some recommendations

Build Minimal APIs in .NET 7

This session will cover the followings:
-What is Minimal API
-When to use Minimal APIs.
-Build Minimal APIs in .NET 7
-Build Custom APIs for CRUD operation with an example

Azure App Service for Developer

Azure App Service for Developer
- Deploy ASP.NET solutions
- Scaling Options
- Debug in Azure App Service Deployed Solution
- Deployment Slots
- RBAC
- Other Configurations

Design ML Model with Drag and Drop Azure Machine Learning designer

Design ML Model without writing single line of code.
- Azure ML Introduction
- Import data source options
- Cleaning Data
- ML Algorithms
- Training and evaluating the ML model
- Design Model
- Deploy with real-time end points

Data Modeling and Analyzing in Power BI

In this session we will cover how to model data and analyze data in Power BI. We will use Power BI Desktop to model, analyze and visualize data.

Women Data Summit

AI Assisted Development for Blockchain Application using GitHub Copilot

Copilot Introduction
Blockchain Introduction
Background of Blockchain App development
Smart Contract
Demo Utilizing GitHub Copilot in blockchain based application

New Features and Enhancement in .NET 8

This session will cover:
new features and enhancement in .NET 8 and provides overall idea how .NET developers and organizations can benefited form it.

Build, Fine-Tune, Deploy: End-to-End AI Apps with Azure AI Foundry

Are you ready to move beyond experimentation and start building real-world AI-powered applications? In this session, we'll explore Azure AI Foundry, Microsoft’s latest innovation to help developers and data scientists accelerate the lifecycle of AI solutions — from model selection and fine-tuning to deployment at scale.

You’ll learn how to bring your data, leverage pre-trained foundation models, and build production-grade AI apps using the unified tools and capabilities provided by Azure. Whether you're building a chatbot, generative AI app, or custom vision solution, Azure AI Foundry helps you do it faster, smarter, and more securely.

Short Agenda:
What is Azure AI Foundry? – Overview & capabilities
Choosing & Fine-tuning Models – Using open and proprietary models
Building End-to-End AI Workflows – From ingestion to inference
Deployment Made Easy – Scaling apps with Azure services
Live Demo – Building a real AI-powered app in minutes

Key Takeaways:
Understand how to use Azure AI Foundry for building full-stack AI applications
Learn how to fine-tune and deploy foundation models securely
See real examples of AI apps built using Azure ecosystem
Get inspired to integrate GenAI into your applications