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.

1. What does a developer need to know about Machine Learning?

2. How does ML.NET help getting started with ML?

3. Quickly prototype a solution with ML.NET Model Builder

4. Improve solution with simple data science rules

5. Integrate a machine learning solution into your application

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

3. Automating generation of models with ML.NET CLI

4. Continuously improving machine learning model and updating applications

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 Ryder.

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

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

Flow Engineering - Boost velocity, quality and happiness through your entire value stream

DevOps

Local Development Techniques with Kubernetes

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.

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 2021

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

Leadership Through Self-Awareness

Melissa Houghton

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

Modern Web Dev with Blazor WebAssembly & .NET 6

Jason Taylor

Next level security for your Azure applications

Jan de Vries

Flow Engineering - Boost velocity, quality and happiness through your entire value stream

Steve Pereira

Type-safe GraphQL with TypeScript

Aaron Powell

Move the Needle or How to Measure Success

Eric Rabinovitch

11:30 - 12:30 (UTC+10)

Common mistakes in EF Core

Jernej Kavka

Flexing your Biceps with Azure

William Liebenberg

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+10)

Cloudy with a Chance of Mobile

Matt Goldman

Implementing an Event Sourcing strategy on Azure

Eldert Grootenboer

Olena Borzenko

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+10)

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

Arafat Tehsin

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

Bryden Oliver

A practical approach to operating Data Service tiers on Kubernetes

Rags Srinivas

How to Become a Tech Conference Speaker

Brooke Jamieson

16:00 - 17:00 (UTC+10)

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

Lars Klint

Architecting Enterprise Microservice Solutions with Ocelot on Azure

Patrick Zhao

The Deployment Architecture of an Enterprise API Management Platform on AKS

Rahul Rai

Tarun Pabbi

Unleash Your Inner CTO!

Rob Crowley