WeAreDevelopers Congress Vienna
Workshops

28.11.-29.11.19

Days
2

Developers
2,000+

Speakers
60+

Workshops
25+

Want to boost your skills at one of our workshops?

Here’s how you can register for the workshops:

Important notice: It not possible to edit tickets on the Eventbrite App. Please use a browser (Chrome, Safari, etc.) to sign up for workshops through the Eventbrite website.

If you already have a ticket to WeAreDevelopers Congress Vienna 2019:
  • Login to your account on Eventbrite
  • Select your profile icon
  • Select “Tickets” in the menu
  • Select the event “WeAreDevelopers Congress Vienna 2019 – AI, Cloud, Blockchain & IoT”
  • Click on edit on the top right hand corner of the ticket information
  • Scroll down the page to “Other Information”
  • Select which workshops you would like to attend*
Register now!
If you do not have a ticket to WeAreDevelopers Congress Vienna 2019 up until now:
  • Purchase your ticket to WeAreDeveloper Congress Vienna 2019 on Eventbrite
  • Before registering, select which workshops you would like to attend
  • If you do not select a workshop, you can always edit your ticket and register for workshops later on*
Get Tickets

*Please be aware that there are limited slots for the workshops and some workshops require that you bring your own equipment.

Workshops Agenda

Filter by Topics
Showing All
Cloud Computing
Artificial Intelligence
Blockchain
Internet of Things
10:45
11:15
11:45
12:15
12:45
13:15
13:45
14:15
14:45
15:15
15:45
16:15
16:45
17:15
17:45
18:15
W1
W1
Build your first Alexa skill from scratch
10:45 - 12:15
German Viscuso
10:45 - 12:15
Room: W1

Running Mini Batch Jobs on Steroids Using Kubernetes
13:45 - 14:45
Peter Rietzler
13:45 - 14:45
W1

Building decentralized applications on aeternity
15:00 - 16:00
Milen Radkov
15:00 - 16:00
W1

W2
W2
Black Magic: Micro Frontends without Web Components
10:45 - 12:45
Alexej Strelzow & Eduard-Andrei Radulescu
10:45 - 12:45
Room: W2

Microsoft Conversational AI Platform – The Fundamentals
13:30 - 15:00
Stephan Bisser & Thomas Goelles
13:30 - 15:00
Room: W2

Stream videos and make people smile
15:30 - 17:30
Péter Ungár & Adam Czuprak
15:30 - 17:30
Room: W2

W3
W3
Scaling agile: From DevOps to agile organisation
10:45 - 12:45
Tolga Tatar
10:45 - 12:45
Room: W3

Anonymization – hands on
13:30 - 15:30
Richard Prinz
13:30 - 15:30
Room: W3

Anonymization – hands on
15:30 - 17:30
Richard Prinz
15:30 - 17:30
Room: W3

Filter by Topics
Showing All
Cloud Computing
Artificial Intelligence
Blockchain
Internet of Things
10:00
10:30
11:00
11:30
12:00
12:30
13:00
13:30
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
18:00
W1
W1
EU Innovation Kitchen
10:30 - 12:00
Iraklis Agiovlasitis & Angelo Nuzzo
10:30 - 12:00
Room: W1

LocalStack - A fully functional local AWS cloud stack
15:45 - 16:45
Waldemar Hummer
15:45 - 16:45
W1

W2
W2
CreteML and CoreML
10:00 - 12:30
Milan Todorovic
10:00 - 12:30
Room: W2

From idea to the first clients: Building a deep-tech startup AWS
13:15 - 14:45
Linda Andersson & Nina Andersson
13:15 - 14:45
Room: W2

The role they play in accelerating machine learning development & how you can extend them
15:00 - 16:30
Tanmay Bakshi
15:00 - 16:30
Room: W2

Important: All participants should have a laptop with an SSH client installed

Compilers: the role they play in accelerating machine learning development & how you can extend them

Developers solve problems, but for the vast majority of problems that developers solve, compilers are at the heart of them. They're responsible for bringing technology to the masses, not just the few that understand the low-level lingo of the hardware. This has been true for technology for decades, and we're seeing a trend emerge: all sorts of next generation technologies are also made orders of magnitude more accessible when they're baked right into the compiler. In this workshop, you'll learn about a brand new deep learning "framework" called Swift for TensorFlow, which is a new take on how machine learning and programming languages should work together. At the same time, you'll also learn how you can create your own compiler extensions and have LLVM do what you want it to at compile-time.

Next-generation technologies: developers to users and developers to developers

Theme: Artificial Intelligence

Machine learning technology is helping make the lives of millions worldwide simpler, safer, more enjoyable, and overall better. Developers are at the heart of this change in how we use technology. However, there are some fields where this technology makes more impact than others, and my passion lies in, and I think it makes most sense to apply this technology in healthcare, education, and development! In my keynote, I'll be showcasing and demoing a few of my projects in these fields. Particularly, I'd like to show off the flexibility of machine learning, and how developers can not only apply it to create better applications, but to make their own lives easier as well.

Tanmay Bakshi

AI expert at age 15, IBM Cloud Advisor

Tanmay Bakshi is a 15 year-old Canadian author, AI/Machine Learning expert, TED and keynote speaker, Honorary IBM Cloud Advisor, and a media personality who has addressed over 200,000 executives, leaders, intellectuals, and developers at international conferences, universities, and multinationals worldwide. His passion to develop algorithms and to work with machine learning lead him to apply this tech mainly in the fields of education and healthcare. His goal is to help at least 100,000 aspiring coders in learning how to code and innovate through his books, workshops and seminars. Tanmay’s YouTube channel called “Tanmay Teaches” and his consistent work towards his goal for the past 8 years has earned him numerous recognitions such as Knowledge Ambassador Award, IBM Champion for Cloud, Google Developer Expert for Machine Learning, Twilio Doer award, and Global Goodwill Ambassador at Linkedin, to name a few.

W3
W3
Running Mini Batch Jobs on Steroids Using Kubernetes
10:00 - 11:00
Peter Rietzler
10:00 - 11:00
Room: W3

Day 1 – 28.11.2019

Filter by Topics
Showing All
Cloud Computing
Artificial Intelligence
Blockchain
Internet of Things
10:45
11:15
11:45
12:15
12:45
13:15
13:45
14:15
14:45
15:15
15:45
16:15
16:45
17:15
17:45
18:15
W1
W1
Build your first Alexa skill from scratch
10:45 - 12:15
German Viscuso
10:45 - 12:15
Room: W1

Running Mini Batch Jobs on Steroids Using Kubernetes
13:45 - 14:45
Peter Rietzler
13:45 - 14:45
W1

Building decentralized applications on aeternity
15:00 - 16:00
Milen Radkov
15:00 - 16:00
W1

W2
W2
Black Magic: Micro Frontends without Web Components
10:45 - 12:45
Alexej Strelzow & Eduard-Andrei Radulescu
10:45 - 12:45
Room: W2

Microsoft Conversational AI Platform – The Fundamentals
13:30 - 15:00
Stephan Bisser & Thomas Goelles
13:30 - 15:00
Room: W2

Stream videos and make people smile
15:30 - 17:30
Péter Ungár & Adam Czuprak
15:30 - 17:30
Room: W2

W3
W3
Scaling agile: From DevOps to agile organisation
10:45 - 12:45
Tolga Tatar
10:45 - 12:45
Room: W3

Anonymization – hands on
13:30 - 15:30
Richard Prinz
13:30 - 15:30
Room: W3

Anonymization – hands on
15:30 - 17:30
Richard Prinz
15:30 - 17:30
Room: W3

Day 2 – 29.11.2019

Filter by Topics
Showing All
Cloud Computing
Artificial Intelligence
Blockchain
Internet of Things
10:00
10:30
11:00
11:30
12:00
12:30
13:00
13:30
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
18:00
W1
W1
EU Innovation Kitchen
10:30 - 12:00
Iraklis Agiovlasitis & Angelo Nuzzo
10:30 - 12:00
Room: W1

LocalStack - A fully functional local AWS cloud stack
15:45 - 16:45
Waldemar Hummer
15:45 - 16:45
W1

W2
W2
CreteML and CoreML
10:00 - 12:30
Milan Todorovic
10:00 - 12:30
Room: W2

From idea to the first clients: Building a deep-tech startup AWS
13:15 - 14:45
Linda Andersson & Nina Andersson
13:15 - 14:45
Room: W2

The role they play in accelerating machine learning development & how you can extend them
15:00 - 16:30
Tanmay Bakshi
15:00 - 16:30
Room: W2

Important: All participants should have a laptop with an SSH client installed

Compilers: the role they play in accelerating machine learning development & how you can extend them

Developers solve problems, but for the vast majority of problems that developers solve, compilers are at the heart of them. They're responsible for bringing technology to the masses, not just the few that understand the low-level lingo of the hardware. This has been true for technology for decades, and we're seeing a trend emerge: all sorts of next generation technologies are also made orders of magnitude more accessible when they're baked right into the compiler. In this workshop, you'll learn about a brand new deep learning "framework" called Swift for TensorFlow, which is a new take on how machine learning and programming languages should work together. At the same time, you'll also learn how you can create your own compiler extensions and have LLVM do what you want it to at compile-time.

Next-generation technologies: developers to users and developers to developers

Theme: Artificial Intelligence

Machine learning technology is helping make the lives of millions worldwide simpler, safer, more enjoyable, and overall better. Developers are at the heart of this change in how we use technology. However, there are some fields where this technology makes more impact than others, and my passion lies in, and I think it makes most sense to apply this technology in healthcare, education, and development! In my keynote, I'll be showcasing and demoing a few of my projects in these fields. Particularly, I'd like to show off the flexibility of machine learning, and how developers can not only apply it to create better applications, but to make their own lives easier as well.

Tanmay Bakshi

AI expert at age 15, IBM Cloud Advisor

Tanmay Bakshi is a 15 year-old Canadian author, AI/Machine Learning expert, TED and keynote speaker, Honorary IBM Cloud Advisor, and a media personality who has addressed over 200,000 executives, leaders, intellectuals, and developers at international conferences, universities, and multinationals worldwide. His passion to develop algorithms and to work with machine learning lead him to apply this tech mainly in the fields of education and healthcare. His goal is to help at least 100,000 aspiring coders in learning how to code and innovate through his books, workshops and seminars. Tanmay’s YouTube channel called “Tanmay Teaches” and his consistent work towards his goal for the past 8 years has earned him numerous recognitions such as Knowledge Ambassador Award, IBM Champion for Cloud, Google Developer Expert for Machine Learning, Twilio Doer award, and Global Goodwill Ambassador at Linkedin, to name a few.

W3
W3
Running Mini Batch Jobs on Steroids Using Kubernetes
10:00 - 11:00
Peter Rietzler
10:00 - 11:00
Room: W3

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