course
Deep Dive Artificial Intelligence for Business
Learn what AI encompasses and how it is currently entwined in our daily lives
Description
Without programming, you will learn what AI encompasses and how it is currently entwined in our daily lives. Through interaction and exercises, you will understand the workings of Machine Learning and Deep Learning. You will even create your own Machine Learning algorithm!
Of course Microsoft Cloud with Azure will also be discussed. Through a clear demo we will show how to build a Machine Learning model. We will make both a Customer Churn and an Image Classifier model, so we can touch upon multiple aspects of Azure.
You will also learn how to test AI/ML solutions and which questions to pose to your supplier. Finally, you will use our AI Experiment Canvas. With this, you will come up with a number of possible applications for AI in your organisation, after which you will expand one of those ideas into a fully defined experiment such that you could start the experiment the next day.
Prior Knowledge
No specific knowledge or experience is required to follow this training
Subjects
- Intro AI (including AI in your Daily Life Bingo)
- AI & Azure Cloud (with demos)
- Machine Learning (what is it, how does a machine learn, build an algorithm yourself)
- Introduction Deep Learning (what does a neural network do)
- Explainable AI (how to explain your model, which tools - like Microsoft Interpret - to use)
- DevOps for AI (what does it take to get from idea to production)
- Testing AI solutions (how to test your AI models)
- AI Ideation (coming up with cases for your organisation and elaborating one of them into an experiment)
Schedule
All courses can also be conducted within your organization as customized or incompany training.
Our training advisors are happy to help you provide personal advice or find Incompany training within your organization.
"Very pleasant teacher, gave a very good interpretation of the course in their own way. It was nice to follow the course like that."Marieke
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