Artificial Intelligence and Machine Learning Made Simple
What you'll learn
- Learn Artificial Intelligence in a non-technical way
- How Machine Learning evolved throughout history?
- What we can and cannot do with AI?
- Discover the types of Machine Learning systems
- How can you apply AI and machine learning into your business?
- No coding experience or prerequisites needed since this is a non-technical course
Are you ready for the coming AI revolution? It already started to affect us. In this non-technical course, I will try to show you how to navigate the rise of Artificial Intelligence, Machine Learning and Deep Learning.
"Artificial Intelligence and Machine Learning Made Simple" is carefully created to match the needs of business leaders, managers and CXOs. This program was built to be broadly applicable across industries and roles. So regardless if you're coming from IT or marketing, work as an engineer or manager, this program may well be suited for you. Despite its broad applicability, this program will be most useful for those who are looking to understand and make better decisions surrounding machine learning projects in a business environment. My focus will be on explaining concepts in a way that is easily understandable regardless of your technical background.
When you finish the course, you will be comfortable with the buzzwords around Artificial Intelligence, Machine Learning and Deep Learning. You will have a certain understanding of AI applications and how to apply them to your business.
Who this course is for:
- Anyone interested and willing to learn about Artificial Intelligence and Machine Learning
- Business leaders, project managers, students
I have worked for more than 10 years in Turkey's leading banks in data warehouse, business intelligence, reporting and data analytics positions.
I have led DWH and BI teams, whose aim was to create datamarts on any areas to be used in reporting tools or for core banking programs. I was responsible for the entire demand management phases, starting from needs analysis to data procurement, the creation of tables and stored procedures and presentation of data to business units from various platforms.
In the last few years, I became a machine learning engineer with certificates and started to win prizes in nationwide and international competitions (more to come).
I am currently mentoring for Udacity in "Machine Learning Engineer", "AI Product Manager", "Data Analyst" and "Business Analytics" nanodegrees.