In this workshop, we'll start from a CSV exported by a service, and go all the way to an application that uses Machine Learning to make clever decisions.

What does a developer need to know about Machine Learning?

How does ML.NET help getting started with ML?

Quickly prototype a solution with ML.NET Model Builder

Improve solution with simple data science rules

Integrate a machine learning solution into your application

Prototype a solution with multiple different ML.NET Model Builder models

Automating generation of models with ML.NET CLI

Continuously improving machine learning model and updating applications

Visual Studio 2019 or Visual Studio 2022 (Community edition should work)

https://dotnet.microsoft.com/download/visual-studio-sdks

https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet/model-builder

https://www.anaconda.com/products/individual

2 Days

Getting Started with Machine Learning using ML.NET

Machine Learning

.NET

This hands-on workshop provides practical guidance and recommendations. We will cover architecture, technologies, tools, and frameworks. We will examine strategies for organizing your projects, folders, and files. We will design a system that is simple to build and maintain - now and well into the future.

You will leave this workshop having developed the foundation and structure for your next enterprise application, along with the knowledge to take your enterprise application development to the next level.

Required workload - ASP.NET and web development

You can also use your preferred IDE, e.g. Visual Studio Code or JetBrains Rider.

Practical Clean Architecture with .NET 6  

Talk (60 min)

Implementing an Event Sourcing strategy on Azure

Architecture

Cloud

Serverless

The Deployment Architecture of an Enterprise API Management Platform on AKS

Microservices

Microsoft

But would you like to learn how can you overcome this problem and implement object detection in your solutions?

Easy peasy! ML.NET solves this problem for you and we're going to see how you can now detect images that too in an absolute real time using the latest ML.NET Model Builder without having to worry about your slower machine and I will brief you why's that!

In addition to this, we'll also learn about the tools it take to label your images as well as some other cool examples and some use-cases of ML.NET. All in all, it's going to be fun for folks who want to remain in the .NET world and solve complex computer vision problems.

Beyond Sentiment Analysis: Real-time object detection with ML.NET

Unleash Your Inner CTO!

Softskills

Methodology

Azure and Containers, the tale of the two inseparable friends

How to Become a Tech Conference Speaker

People

Workskills

Tools

A practical approach to operating Data Service tiers on Kubernetes

Architecting Enterprise Microservice Solutions with Ocelot on Azure

Cloudy with a Chance of Mobile

Mobile

From Horror Story to Fairy Tale: Writing code people want to read

Ethics

Local Development Techniques with Kubernetes

DevOps

Super fast transactions in low milli-seconds using Cosmos DB and Redis

Next level security for your Azure applications

Security

Leadership Through Self-Awareness

Common mistakes in EF Core

You're on mute! WebRTC and our lives on screen

JavaScript

Type-safe GraphQL with TypeScript

Does spam have an opinion? Using machine learning to understand your spam.

Now we can flex our Infrastructure as Code (IaC) muscles using a new tool called Azure Bicep.

Azure Bicep is a Domain Specific Language that puts the fun back into IaC development with a simpler syntax, better code reusability and modularity.

In this talk we are going start by exploring how Bicep works, how we use it, and compare it to other IaC options such as Terraform and Pulumi.

We will wrap up the talk with a live demo to deploy a full-stack application to Azure.

Flexing your Biceps with Azure

Modern Web Dev with Blazor WebAssembly & .NET 6

I will deep dive into how to create real progress so you will maximize the value you bring to your organization using three crucial aspects: KPI's, goals, and leadership.
You will learn the importance of finding the proper KPI that will provide clarity and focus for your team, how to find the right KPI for your project and why choosing the wrong KPI can hurt it and how.
I will share how to set a goal for the KPI you have chosen, which will encourage your team to "out of the box" thinking and will challenge them.
And, finally, explain why leaders need to take a step back and put the accountability and ownership on their team members, and why, once done right, it will bring the best out of them.

NDC { Sydney }

Agenda

09:00 - 10:00 (UTC+11)

Leadership Through Self-Awareness

Melissa Houghton

10:15 - 11:15 (UTC+11)

Type-safe GraphQL with TypeScript

Aaron Powell

Super fast transactions in low milli-seconds using Cosmos DB and Redis

Bryden Oliver

Implementing an Event Sourcing strategy on Azure

Eldert Grootenboer

Olena Borzenko

Modern Web Dev with Blazor WebAssembly & .NET 6

Jason Taylor

11:30 - 12:30 (UTC+11)

Common mistakes in EF Core

Jernej Kavka

Cloudy with a Chance of Mobile

Matt Goldman

Azure and Containers, the tale of the two inseparable friends

Yaser Adel Mehraban

You're on mute! WebRTC and our lives on screen

Phil Nash

13:30 - 14:30 (UTC+11)

Flexing your Biceps with Azure

William Liebenberg

Unleash Your Inner CTO!

Rob Crowley

Local Development Techniques with Kubernetes

Rob Richardson

From Horror Story to Fairy Tale: Writing code people want to read

Michael Dowden

14:45 - 15:45 (UTC+11)

How to Become a Tech Conference Speaker

Brooke Jamieson

Architecting Enterprise Microservice Solutions with Ocelot on Azure

Patrick Zhao

A practical approach to operating Data Service tiers on Kubernetes

Rags Srinivas

Beyond Sentiment Analysis: Real-time object detection with ML.NET

Arafat Tehsin

16:00 - 17:00 (UTC+11)

Does spam have an opinion? Using machine learning to understand your spam.

Lars Klint

Next level security for your Azure applications

Jan de Vries

The Deployment Architecture of an Enterprise API Management Platform on AKS

Rahul Rai

Tarun Pabbi

Move the Needle or How to Measure Success

Eric Rabinovitch