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Learning outcomes

Training Introduction

In this 2-day training you will learn how to build machine learning applications and deploy them in your own organization. You will learn all about loading and processing data, creating regression models, evaluating predictions, classify and cluster data, improve models by combining them into ensembles, and many other AI tricks.

You will learn how to smartly implement AI and machine learning techniques in business software. We will cover use case like automatic text analysis, revenue growth prediction, suspicious transaction flagging, and many others.

During the course Mark Farragher will share many tips and tricks on how you can start
introducing AI and data science functionality to your business today with just a few lines of code.


Technology Platform

This course features technology demos that use the C# programming language and the Microsoft ML.NET machine learning library. The code will be made available to all participants.

Key Takeaways

• Have experienced machine learning first hand
• Understand the stages of a machine learning process
• Learn what pitfalls to watch out for when implementing machine learning in your organization
• Discover what works and what doesn’t work in machine learning
• Gain actionable AI tools to use when you go back to work
• Get a chance to walk out with a great plan on how to AI-enable your work
• Have learned about many examples of how machine learning can benefit organizations

Training Schedule

Day one

  • 09:00 Registration

  • 09:15 Welcome and Introductions

  • 09:30 What is Machine Learning?

  • 10:30 Foundations of machine learning – Linear regression

  • 11:30 Tea, Coffee, Networking

  • 12:00 Foundations of machine learning – Binary classifiers

  • 13:00 Lunch & Networking

  • 14:00 Foundations of machine learning – Multiclass classifiers

  • 15:00 Tea, Coffee, Networking

  • 15:30 Foundations of machine learning – Neural networks

  • 16:30 Feedback and Q&A

  • 17:00 End of Day 1

Day two

  • 09:00 Day Introduction

  • 09:15 Supervised Learning Algorithms: Decision Trees

  • 10:30 Tea, Coffee, Networking

  • 11:00 Supervised Learning Algorithms: Ensembles

  • 12:00 Lunch & Networking

  • 13:00 Unsupervised Learning Algorithms: Clustering

  • 14:00 Unsupervised Learning Algorithms: The Recommendation System

  • 15:00 Brainstorm session – use AI to automate your business

  • 16:00 Feedback and Q&A

  • 16:30 End of Day 2

Training Program

Request detailed Agenda - C#/ML.NET Machine Learning MasterClass

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Get to know the Expert Trainer

Mark Farragher
Mark FarragherDirector and co-founder Climate Risk Services Amsterdam, Netherlands

Mark is a serial entrepreneur and the author of 12 successful IT courses in the Udemy marketplace. His career spans over two decades during which he has been a Founder twice and CTO three times. He has launched two successful lean startups in The Netherlands. Mark became a Microsoft Certified Trainer in 2005 and started training
classes in full stack development. Today he uses his extensive knowledge of IT to help CIOs, CTO s, architects, and forwardlooking tech professionals to make sense of AI, Machine Learning, and Computer Vision. Mark is a certified Microsoft Trainer and Scrum master. He speaks fluent English, Dutch, and German.

Who should attend?

• CEOs interested in machine learning and AI
• Chief Information Officers
• Chief Technical Officers
• Solution Architects
• Vice Presidents of Engineering
• Directors/Heads of AI
• Business Analysts
• Senior AI Software Developers
Knowledge of software development and programming is recommended for this course but not required to attend.

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Room reservation

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Hotel Location

Novotel Budapest Danube
Bem rkp. 33-34
1027 Budapest

Official Airline Partner


You can always register without a name using the TBA [To Be Announced] option. Please indicate TBA instead of the delegate name and 2 weeks prior to the event you are able to send the delegate name/s to booking[at]
While we are not happy to see you cancel your registration, we understand that “life happens” and other obligations come up. Our refund schedule is as follows:
The client has the right to cancel his/her registration in the event.
There is a 50% liability on all conference registrations once made, whether the booking was made through our website or via e–mail/ telephone/ fax.
If the client cancels with more than 8 weeks’s advance notice, GLC shall be entitled to an amount equivalent to 50% of the conference fee and 16 EUR administration charge. In case the client has already made his/her payment, this will be deducted from the conference fee GLC has already received and the remainder will be refunded. If no conference fee has been received prior to the cancellation request, GLC will issue an invoice for the cancellation fee (the amount equivalent to 50% of the conference fee and 16 EUR administration charge), which the client must pay immediately upon receipt. No refunds are available for cancellations received with 8 week’s (or less) advance notice or in case the client fails to attend the conference. In these cases, the full amount of the conference fee must be paid.
In general no VAT is applied based on the Hungarian VAT law with the exception of individual payment [when you would like to pay from your own budget and not from the company’s budget] and for Hungarian companies where 27% VAT is applicable which is refundable at the end of the company’s fiscal year.
Our hospitality partners usually have options available for parking places, however it can change from event to event. If you would like to receive more information on parking please e-mail our colleague coordination[at]
We provide a conference documentation pack which includes: conference agenda, notes pages and attendee information. Soft copies of some of the presentation are available on USB-flash-drives for each delegate. You may bring your laptop, tablet or other mobile device so you are able to review the presentations while they are being presented. Free Wi-Fi will be provided and outlets will be available for recharging computers, mobile devices and phones. We highly recommend you to bring along your business cards and a desire to learn from some of the industry’s leading experts.
The dress code is business casual. Feel free to leave the suits and ties at home this time. We do suggest you bring a sweater or dress in layers, as the conference room temperature may fluctuate.
Any of our staff members at the event will be delighted to help you. You can contact us for free via WhatsApp or Viber or any time over the phone or via e-mail or post.
  1. Get the timing right.
    Many people are afraid to request for training budget, because they can’t seem to find the “perfect time” to do it. Well, there’s no perfect time to ask for it, but there are definitely some moments that are better than others. For instance, if your boss is about to take a two week vacation, he/she might be in a good mood. If he/she just lost a major account, may not be wise at that juncture.
  2. Make a case for yourself
    When you ask for budget, you should be prepared with specific details and explanations about what is in it for the company and you’re superior. If you go into a meeting and just say, “I want to get budget for a conference,” it’s likely that your request won’t be taken seriously. If you want to plan ahead, then you should be prepared to explain the following points:
    1. Start by stating your accomplishments
    2. Show that you’re ready for more responsibility and eager to learn
    3. Describe:
    a) How this event will increase your productivity?
    b) How you will need less supervision
    c) How you can bring back the knowledge to the company
    4. Follow up
You might find free to attend events which are usually organized by a solution/service provider within the industry. Unlike at free to attend events, on a paid event you will find more diverse industry knowledge rather than presentations related to services or solutions.
In case you cannot attend for both days, you can always attend for just 1 day of the event. In this case we will send you all presentations of the 2 days. The participation fee is 70% of the original investment. In case you would like to attend the event for just 1 day please contact us on booking[at]
In case you are busy on 1 of the days, you certainly can split the 2 day conference with one of your colleague. All you need to do is send us an e-mail to booking[at]
We understand that not all senior-level professionals might be available on the dates. As the event is an annual event, most of the attendees try to postpone their engagements or send a small group from their teams to benefit from the conference.

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