Project Botticelli

Live Courses

Practical Machine Learning

Student Mortarboard We offer two brand-new Machine Learning courses in 2020: one fully focused on the newest version of Microsoft Azure ML, and one on ML and data science in R with the latest version of Microsoft Machine Learning Server and SQL Server 2019 ML Services.

Registration and Dates

To book, please follow a link below:

  • Stockholm, Sweden—Live Online: 22–26 June Azure ML
  • Stockholm, Sweden—Live Online: 12–16 October R for ML and SQL Servers
  • Oslo, Norway: Azure ML: postponed to late 2020, subject to Covid restrictions
  • Oslo, Norway: R for ML and SQL Servers: postponed to late 2020, subject to Covid restrictions
  • Dublin, Ireland: late 2020, subject to Covid restrictions
  • Tallinn, Estonia: late 2020, subject to Covid restrictions
  • Get our newsletter to be notified about additional dates.

Azure Machine Learning in Practice: From Fundamentals to Deployment

Microsoft Azure ML Logo This intensive, 5-day, hands-on classroom course will teach you everything necessary to prepare your data, build, evaluate, and, most importantly, validate machine learning models, before deploying them to production, using the newest, 2020 version of Microsoft Azure Machine Learning—all with little coding, thanks to the new, highly visual yet powerful Microsoft Azure ML tools. You do not need to have a prior coding experience in any programming language to benefit from this course. You will learn all the fundamentals of machine learning, including the most important algorithms and their performance metrics such as precision and recall, validation charts and curves, like the ROC chart, and much more.

Read the detailed Azure ML course description.

Machine Learning and Data Science in R on Microsoft ML and SQL Servers

The R Logo is © 2016 The R Foundation A very intensive, hands-on, 5-day course designed for those who want to learn more in-depth machine learning and data science using R. As you study the free, open source R, you will also learn how to easily make R incredibly fast, scalable, and enterprise-ready with Microsoft ML Server, SQL Server ML Services, and RStudio. You will learn: how to prepare and visualise data in R, build, evaluate, and validate models, how to deploy them to production in-database, in-app, and as a web service. You will study, in detail, the most important classification, clustering, regression and forecasting algorithms. You will write your own code for analysing your results and for drawing statistically meaningful conclusions—and you will understand the limits of confidence that you can place in that approach. Having prior knowledge of programming in any language is helpful, however, if you are prepared to do an extra bit of homework Rafal will help even complete novices to get their introduction to programming.

Read the detailed R and ML/SQL Server course description.

Why attend these classes?

Because of Rafal’s 10+ years of real-world machine learning experience.

You will not only learn all the concepts and tools that you need to know from an experienced teacher who has trained over 900 data scientists world-wide, Photo of Rafal Lukawiecki a highly-respected presenter, capable of holding your attention, but, above all, from a practitioner of machine learning. Rafal Lukawiecki has been delivering ML, data mining, and data science projects for customers in retail, banking, entertainment, healthcare, manufacturing, education, and government sectors for twelve years. Because of that, you will learn:

  • everything essential to starting data science, ML, and AI projects,
  • all fundamental concepts,
  • how to avoid common pitfalls,
  • how to work fast and with accuracy,
  • what is really useful and practical,
  • what is more theoretical but still important,
  • what hype you should be wary of.

You will be able to ask any questions related to your industry and you will get relevant, pragmatic, no-nonsense answers, helping you get ahead with your own projects.

Learn from Rafal who has done it all, not from those who just teach it—this is why it is Practical Machine Learning.

How Are These Courses Different?

Rafal teaches ML and data science using Azure ML and R/ML Server. Other courses teach just the technology to those who already know data science and machine learning.

  • Unlike on other courses, especially Microsoft Official Curriculum (MOC), you will actually learn machine learning and data science during this intensive week. By working harder than on MOC training, and thanks to Rafal’s experience, you will learn both the technology and the concepts in just one week.
  • Our course is updated immediately before every delivery because technology changes fast. MOC courses are out of date, and they do not cover recent innovations.
  • Our course covers a wide spectrum of technology including open source. MOC focuses only on Microsoft, forcing you to learn the necessary rest, like Pandas or RStudio, somewhere else.

Student Testimonials

Small selection of comments from students who have attended the previous version of Rafal’s machine learning and data science course:

The course was an immense learning experience, tapping into the vast knowledge base that is Rafal. His presentation skills and technique made the learning experience very enjoyable. The pace at which he managed to deliver the content was remarkable, even when delayed to answer questions he still managed to run through the enormous subject matter and keep to schedule. All in all it was a very enjoyable learning experience that has fuelled my desire to learn more on the subject.
Sean, Globoforce, Ireland

This was a 5 star course. Rafal is a world class teacher who brings the right combination of practical, technical and theoretical experience to the course. I have a Masters in Analytics and have worked on an Analytics Project for 3 years and yet I still learnt so much from this course. Without a doubt the best course I have been on.
Brian, Department of Social Affairs, Ireland

I highly recommend this course. Rafal’s knowledge, teaching skills and humour makes complex challenges much easier to grasp and understand.
Asbjørn, Genus AS, Norway

I initially stumbled across the Practical Data Science course having seen and been impressed by videos of Rafal speaking at Microsoft Ignite. I appreciated and enjoyed the way he discussed his (extensive) practical experience in the field as much as the technology and am pleased to say the course was no different. I came into the course from a background of working with database’s, but the world of data science is something I’ve always wanted to get more involved in. This course seemed to be ideally tailored for this.
Callum, UK public sector company

I had the pleasure of attending “Practical Data Science” in Copenhagen with Rafal. The course was great, and is just the way it is described—not only was it practical and exciting, but followed by in depth understanding of theory. Rafal is a great instructor, and certainly one of the best experts that I have had the chance to meet. Throughout the whole course I learned a lot and Rafal even took time to debate specific problems that we were contemplating.
Philip, Inspari A/S, Denmark

I can only recommend this course. Rafal is an excellent teacher. He shows real world examples that are directly applicable.
Jacquel, Datalytics AG, Switzerland

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