Join Wizer Weekz (August '22 edition)
Get Wizer in data, cloud & infra-as-code
29 Aug - 2 Sept
€195 excl. VAT per session
copyright: jelle akkerman
Wizer Weekz in short
- Learn from the best
- Quality without compromise
- Sharing knowledge
Price: €195, excl. VAT per session, lunch included
Pick your session(s) below:
Monday 29 August
09.30 AM - 12.30 PM
Google-driven architecture: how to make better choices
This 3 hour session taught in Dutch (English depending on audience) is about a team of developers who had no clear guidance or requirements. They went ahead and created an “application” by googling every challenge they encounbtered. The result: an unstable and unmaintainable product running in production.
There is nothing wrong with using Google to search for answers. But interpreting the results is extremely important. Otherwise you end up with a Google-driven architecture, that is unstable and unmaintainable.
What you will learn
In this interactive training we will walk you through the journey and highlight the mistakes and pitfalls of the team. In the end you will have a better understanding on how to create a solid architecture.
Target audience: Developers, engineers and architects
Trainer: Arno Broekhof
Lunch: 12.30 - 1.30 PM
1.30 - 4.30 PM
Why (and why not) Deep Learning?
This 3 hour session taught in Dutch (English depending on audience) is about giving participants insight in a basic understanding of deep learning. What can deep learning do? When should I use deep learning (an when is it overkill)? How does deep learning work? To make the lecture more concrete, two practical cases will be done as well.
What you will learn
- Why (and why not) Deep Learning?
- What is deep learning
- Basics: neural net, weights, feed-forward
- Training: gradient descent, back-propagation
- Data: what do we need to train?
- Practical/tutorial: handwritten digit recognition (deep learning "hello world")
- Applications:
- Some cases from DataWorkz
- Some from literature: NLP, deep mind
- Practical/tutorial: Object detection using Yolov5
Target audience: Developers, data scientists
Trainers: Tim de Klijn & Dennis vd Berg
Drinks/networking: 4.30 - 6.00 PM
Tuesday 30 August
09.30 AM - 12.30 PM
Data science: an engineering perspective
In many cases, data science starts as an experiment to see whether the required information is available in the data yes or no. In case this leads to success, people often will want to take this to the next phase. And this is where the shoe pinches. Moving from an experimental phase to a production one is not always easy.
What you will learn
In this interactive session we will look at code produced by course attendees with ’s glasses of a software engineer. Where will software engineers focus on? Think about error handling, clean code techniques, readability, design pattern etc. To gain the utmost from this session we would like course attendees to supply the trainer with 2 pieces of code:
- The first part of which course attendees think it can easily be used in a production environment
- The second part of which course attendees think there is room for improvement. We will look at the code from a software engineering perspective.
Target audience: Data-scientists (software engineers)
Trainer:Pieter van der Meer
Lunch: 12.30 - 1.30 PM
1.30 - 4.30 PM
GitOps-style Kubernetes with ArgoCD
In this training we will look closer to the foundations of GitOps-style application deployments, and the differences in approach when it comes to declarative and imperative deployment techniques. Thereafter we apply GitOps to Kubernetes deployments, while using ArgoCD as deplopyment tooling.
What you will learn
In this interactive, hands-on training we will apply what you learned (see above) in hands-on labs.
Target audience: You have some experience with Kubernetes (no need to be an expert), but little to none with GitOps-style deployment.
Trainer:Benny Cornelissen
Drinks/networking: 4.30 - 6.00 PM
Wednesday 31 August
09.30 AM - 12.30 PM
(Un)organising ‘data people’ in teams
Data scientists, data analysts, machine learning engineers, data engineers, cloud engineers, (data) architects, security. So many fancy roles and titles, but all are essentials of bringing data (science) products in production. In larger organisations there is a constant struggle of organising these ‘data people’ who work with data with the right skills in teams.
What you will learn
We will cover aspects of way of working, tooling, collaboration with other teams, architecture, data product lifecycle management and roles within the team.
Target audience: (lead) data scientists & their managers, and eventually product owners and other leaders that function close to them
Trainers: Laurens Koppenol & Tjian Lam
Lunch: 12.30 - 1.30 PM
1.30 - 4.30 PM
Helm – The Kubernetes Package Manager
This session is about using Helm to deploy workloads to Kubernetes in an automated, self-contained, and atomic way. Helm is a hot topic, and many people are learning it to harness their skills and advance their careers.
What you will learn
In this session you will learn what Helm is, the problems it tries to solve and why companies are moving towards using it over the traditional kubectl deployments. Also, a couple of labs will be created to see the tool in action against the Kubernetes cluster.
Target audience: DevOps engineers and Kubernetes operators
Trainer: Ahmed ElFakharany
Drinks/networking: 4.30 - 6.00 PM
Thursday 1 September
09.30 AM - 12.30 PM
Data-essentials for managers
This session will consist of two parts; one section will give participants a high-level overview of data paradigms and architectures, responsibilities of the various data roles, and will give an overview of trends in the data landscape. This will set the foundations for understanding data problems and possible solutions they have. The other section is interactive, with a "bring your own case / problem" approach. Participants are encouraged to share the challenges they are facing and get the perspectives of both the instructors and other participants. Discussion and an inquisitive approach are required!
What you will learn
Foundations of data problems and solutions, data roles, and high-level data paradigms / architectures
Target audience: Managers (and people in other less technical roles) that work with data engineers / scientists / analysts
Trainers: Tim Voets & Thijs Koot
Lunch: 12.30 - 1.30 PM
1.30 - 4.30 PM
Pass your AWS Solution Architect Associate exam with flying colors
In this course Jeroen Zeegers, an experienced cloud architect, will run through the topics of the AWS Solution Architect (Associate) exam and provide useful tips and tricks to pass the exam. He will show what topics to focus on and how to achieve your certification without too much hassle. If you are currently studying for the exam, this quick course will help you pass the exam with flying colors. At the end of the course you will get a cheat sheet on how to pass the exam.
What you will learn
Practical tips and tricks to pass the AWS Solution Architect (Associate) exam.
Target audience: Software- and system engineers who would like to develop their cloud skills and help organizations innovate faster by leveraging the power of the AWS Platform.
Knowledge required:
- Basic knowledge of networking
- Basic knowledge of compute
- Basic knowledge of storage
- Basic knowledge of cloud computing
Trainer: Jeroen Zeegers
Drinks/networking: 4.30 - 6.00 PM
Friday 2 September
09.30 AM - 12.30 PM
Everything you always wanted to ask about Linux but were afraid to ask
This rapid course is designed as an intensive capsule on system administration of Linux Platforms (RHEL) for IT professionals with significant exposure to Linux. IT Technicians, DevOps, Cloud engineers, and Developers who have a foundational understanding of the Linux command line will learn key tasks needed to perform system administration of a single Red Hat Enterprise Linux system. In addition, the GUI-based tools will be featured to build upon the students’ existing knowledge. Key command-line concepts will be introduced to provide a foundation for those who planning to continue to the advanced layers of Linux platforms, and they are afraid to dive deeper into this hidden world "Linux CLI".
What you will learn
- After completing this crash course, delegates “Wizer Trainees” will have a thorough understanding of:
- Gain sufficient skill to perform core system administration tasks on Linux Platforms (RHEL).
- Build foundational skills needed by most Linux certificates demanded by market as RHCSA, SCA, CompTIA Linux+.
Target audience: Administrators, technicians , developers, DevOps Engineers, DevSecOps Engineers, infra-as-Code Engineers, cloud engineers
IT professionals who are new to Linux and require core of Linux skills.
Microsoft Windows system administrators who need to quickly learn core of Linux proficiencies
System Administrators, network administrators, developers, DevOps, DevSecOps, SysOps, Cloud Engineers, and other IT professionals who requires proficiency performing core tasks in Linux OS.
Knowledge required:
Basic knowledge of any operating system administration.Trainer: Moustafa ElZeny
Lunch: 12.30 - 1.30 PM
1.30 - 4.30 PM
Discover your growth path for data-, cloud- and infra-as-code engineers
This course is for engineers who are struggling to choose their path. Should you focus on data engineering? Or would a deep dive into Terraform or Kubernetes make more sense? In this course we will help you design your own learning path.
What you will learn
In this mini training you will learn how to create your own learning path and grow as a professional.
Target audience: Aspiring data- and cloud engineers, junior engineers, students.
Trainers: Bas Tichelaar, Martin Weidner & Niels Oldenburger
Drinks/networking: 4.30 - 6.00 PM
Sign up
€195 per session (excl. VAT)
Invoicing will occur after sign-up