Project Botticelli

Live Tutored Online 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 SQL Server. Because of the way the world has changed, we have designed a brand-new, live, fully-tutored, online delivery format.

Registration and Dates

To book, please click a link below:

Azure Machine Learning in Practice: From Fundamentals to Deployment

Microsoft Azure ML Logo This intensive, 5-day, online, hands-on classroom-style 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, online, 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.

New Live Way to Learn Online

Following videos at your own pace is convenient and cost-effective, but learning is easier with direct support by the tutor, even if it costs more. Coursework and labs that actively involve you will help you understand the theory and make it applicable to real-world. Everyone suffers from videoconferencing fatigue. All in all, it meant we have designed this course a bit differently: there are 4 delivery components included in this course format:

  1. 5 half-day live online lectures by Rafal Lukawiecki, with everyone participating, between the hours of 14:00-17:30 UTC (6–9.30am PST, 9am–12.30pm EST, 15:00-18:30 CET). Each session will comprise of a lecture, live demos, and plenty of time to answer any questions.
  2. Your own work, taking approx 2–3 hours a day, to complete the labs and assignments, which you are expected to do before the next half-day lecture starts. We will provide you with the necessary data/files and (if needed) an Azure VM image that contains a full set-up of all the necessary software. You are expected to run the VM using your own Azure account (free trial is acceptable) and detailed instruction will be provided 4 weeks before the course starts.
  3. Small-group (2–3 students) 50–minute online tutoring sessions with Rafal to review the lab work, to provide course assistance, and to answer any additional questions. These sessions will take place outside of the lecture hours and will match the European or American time zones, as selected by you. Every student will have an opportunity to participate in 2–3 of those tutoring sessions during the week, and we will be flexible in offering additional one-to-one support for anyone struggling with any aspect of the learning process. We want everyone to succeed!
  4. Students will be able to, and will be encouraged, to work in groups of 2–3 while completing the labs and assignments.

Student Testimonials

Small selection of comments from students who have attended the previous, classroom-based 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

Bookings, payment, and discounts

All bookings can be made using our online checkout. Use the green button on this page.

  • Credit card or PayPal is accepted using our checkout.
  • Alternatively, you can request a quote/PO/pro-forma invoice using the checkout, and pay by a bank transfer.
  • If you have a relationship with our partners, Prodata, they would be delighted to accept our quote/PO/pro-forma generated by the checkout and issue you a Prodata invoice.
  • We accept payment in EUR and USD. The USD price is fixed while the EUR price is calculated daily using the current European Central Bank reference USD rate. If you generate a quote/PO/pro-forma using the checkout we ask that you settle it within 45 days, however you are welcome to regenerate the quote at any time, assuming we still have available spaces.
  • To book multiple places please increase the quantity after adding the class to the shopping cart. Please reply to the order confirmation listing the names of the attendees you would like to enroll, in addition, or even instead of the booking person.
  • We offer a discount for booking multiple courses and/or multiple participants. Use code LIVETWO to get 10% of the total for booking 2, or code LIVEMORE to get 15% of the total for booking 3+ courses and/or participants.
  • The price of the course is subject to change and may increase in the future, however, all prices on existing bookings (including quotes/PO/pro-forma if valid) will be honoured.

Cancellation policy

We understand that your situation can change, especially in these times. We are happy to offer full flexibility and a refund, subject to these conditions:

  • Your participation can be cancelled up to 6 weeks prior to the start of the course for a full refund.
  • Cancellations up to 4 weeks can receive 50% refund of fees due, or rebook for a future course at no additional cost.
  • The fee becomes non-refundable with less than 4 weeks prior to the start of the course, however, we would be happy to offer the flexibility of a rebooking for a future date, or for another of our courses, at no additional cost.

R logo shown above © The R Foundation CC-BY-SA 4.0

Book Azure ML

$1,999 (about €1764)

* Based on the current ECB reference rate.

Book 2-6 Nov 2020

Book R for ML and SQL

$1,999 about €1764

* Based on the current ECB reference rate.

Book 23-27 Nov 2020