Introduction to Machine Learning, AI & Data Science with Azure ML – a 2 day training course with Rafal Lukawiecki
This 2-day course introduces the most important concepts and tools in machine learning that you need to know.
This live, instructor-led course (updated for 2019) can be attended in the classroom or via Teams/Skype.
It focuses on R and the technologies of Microsoft Machine Learning Server, Azure ML, SQL Server, and Azure SQL Database, whilst teaching you everything you need to know to start using machine learning, and to apply data science for analytics.
Who is the Introduction to Machine Learning training course for?
Analysts, budding data scientists, database and BI developers, programmers, power users, DBAs, predictive modellers, forecasters, consultants, anyone interested in using ML for AI.
What you will learn
You will learn all the concepts and tools that you need to know! Rafal Lukawiecki will teach you:
- everything essential to starting data science, ML, and AI projects
- all fundamental concepts
- how to avoid common pitfalls
- how to work fast yet accurately
- 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.
Rafal has been delivering ML, data mining, and data science projects for customers in retail, banking, entertainment, healthcare, manufacturing, education, and government sectors for more than 10 years, and has trained more than 800 data scientists worldwide. He’s a highly-respected presenter, capable of holding your attention. Above all, you’ll be learning from a machine learning practitioner.
The training comprises 50% lectures, 30% demos and 20% labs.
You are encouraged to follow the demos on your machine, and you will be challenged to find answers to 3 larger problems during the tutorials. While they are a hands-on part of the course, if you prefer not to practice, you are welcome to use that time for additional Q&A, or to analyse your own data. We will provide you with all the necessary data sets.
Bring your own laptop.
To make your learning experience as productive as possible, we will offer you a running Azure VM that contains all the data and the software used during the course. You will access it using your own laptop and the Microsoft Remote Desktop app, which is freely available on both Windows and macOS. Additionally, we will also provide you a detailed set-up guide, which you are welcome to follow to either deploy your own Azure VM from our image, or to install the necessary free (like R) or evaluation/developer edition (like SQL Server) software on your laptop.
This course is the first of two parts. It continues into days 3, 4 and 5 with Intermediate Machine Learning in R, SQL Azure/Server, and Microsoft ML Server. The two courses together make up the 5 day Practical Machine Learning course.
About Rafal Lukawiecki
As a Data Scientist at Project Botticelli Ltd, Rafal focuses on making advanced analytics and artificial intelligence easy and useful for his clients.
He can help you find valuable, meaningful patterns and statistically valid correlations using data mining and machine learning, and he is also known for his work in business intelligence, data protection, enterprise architecture, and solution delivery.
Rafal has been a popular speaker at major IT conferences since 1998, and he has had the honour of sharing keynote platforms with Bill Gates and Neil Armstrong. A natural educator, he explains complex concepts in simple terms in his enjoyably energetic style.