Winder.AI Blog

Industrial AI insight about machine learning, reinforcement learning, MLOps, and more...

Subscribe

(2-day) Data Science for Developers

Jan 0001

In this special two-day beginner-intermediate course, you will gain practical data science experience under the guidance of an industry expert. You will learn how to structure a data science project which will significantly increase your chances of producing valuable work. We will complement this with technical descriptions of a range of techniques, from deriving the decision tree algorithm through to an introduction to deep learning. You will learn different ways of scoring model performance and how to avoid the scourge of data science, overfitting.

(3-day) Data Science and Analytics for Developers

Jan 0001

In this three day comprehensive training course, you will explore many aspects of cutting-edge Data Science. This course combines beginner, intermediate and advanced courses into one efficient program. At the end of this course you will be considered professionally capable of developing and delivering data science products. A three-day intensive course allows you to fully immerse yourself in data science. You will become confident with all aspects of machine learning.

(1-day) Business Analytics and Data Science

Jan 0001

In this one-day beginners-level course, you will be introduced to what Data Science and Analytics can provide for your business. It will enable you to understand all aspects of the development process and provide you with the tools to evaluate proposals and results. The course is presented in a manner that suits non-technical roles by avoiding complex mathematics and code. But the content is not diluted. You will leave with a thorough comprehension of what data science can do for your business and why you need to take action now to stay competitive.

(5-day) Data Science and Analytics for Developers

Jan 0001

This five-day bespoke course includes all the training from the three day intensive course. It also allots two days to work/hack/improve upon your own problems. Furthermore, the schedule will be catered towards your specific domain. For details about what is included in the three day course, please see the three-day training page.

Data Science (ML/AI/Analytics/etc.) for Production Engineers (Beginner)

Jan 0001

This is the brand new version of the hugely popular “Data Science for Developers” training. After two years of teaching thousands of Engineers around the world, this training has been rebuilt from the ground up to squeeze in more information, have bigger theories and provide better positioning. In this beginner-level course, we will start the day by establishing what Data Science is and how it is used by companies large and small.

Data Science (ML/AI/Analytics/etc.) for Production Engineers (Intermediate)

Jan 0001

This is the brand new version of the hugely popular “Data Science for Developers” training. After two years of teaching thousands of Engineers around the world, this training has been rebuilt from the ground up to squeeze in more information, have bigger theories and provide better positioning. In this intermediate-level course, we will delve into the most important topics in Data Science. The aim is to provide sufficient breadth to give you the appreciation so you can pick and choose to suit your specific problem.

Data Science (ML/AI/Analytics/etc.) for Production Engineers (Advanced)

Jan 0001

This is the brand new version of the hugely popular “Data Science for Developers” training from Winder.AI. After two years of teaching thousands of Engineers around the world, this training has been rebuilt from the ground up to squeeze in more information, have bigger theories and provide better positioning. In this advanced-level course, we look at some of the most complex applications of Data Science in industry. This course skips past the basics and steps firmly into production-level territory.

(1-day) Distributed Version Control with Git

Jan 0001

In this one-day course, you will be introduced to a version control tool called Git. It is unique in that it enables distributed development in any domain. You will discover how to use Git effectively, which will make you more productive in your work. This training introduces the required knowledge and tools that you will need to use Git on a daily basis. Throughout the day theory will be complemented by “peer-instruction”; a teaching method that improves your learning experience by asking you to solve examples.

(3-day) Deep Dive: Monitoring Microservices with Prometheus

Jan 0001

Microservice-based systems are on the rise in an attempt to improve scalability and reliability. But replacing monoliths with microservices means translating complicated software into complex systems. The complexity in the service-level domain means that traditional monitoring systems are no longer capable of ensuring reliable operation. Prometheus is a simple, but effective solution to that problem. At its heart, it is a time-series database. But the key feature lies in the fact that it uses a pull model.

(1-day) Data Cleaning and Preprocessing

Jan 0001

In this one-day intermediate-level course, attendees will learn how to clean and preprocess data. Much of the available literature focuses on modelling, the Data Science phase that attempts to build representations of data. But in industrial settings the reality is that a majority of a project’s time is spent dealing with data issues. In fact, some of the largest improvements in model performance can come from improving the data, not improving the model.