Artificial Intelligence (AI) allows computers to analyze vast amounts of data, something humans can’t easily do. Machine learning (ML) is a subset of AI technologies focused on training machines how to learn how to analyze data using data already collected. AI and ML help organizations obtain actionable insights, make critical decisions, and take advantage of opportunities.

With more data being collected than ever before, machine learning is crucial to organizational success because it can automate data analysis and the generation of estimations allowing those processes to take place in real time without human intervention. Businesses and organizations put ML systems into place to help with everything from loan approvals to diagnosing cancer, automating checkout at retail outlets, to identifying promising sales prospects.

Data science and machine learning go hand in hand. A data scientist tasked with building a system to produce estimates in real time will have to leverage machine learning. In fact, machine learning is becoming one of the most in-demand data science skills. As more organizations seek to gain useful insights from their data, data scientists will have to create systems that can analyze big data and produce accurate estimations using fast algorithms and data models trained for machine learning. ML fundamentals are quickly becoming a standard requirement for data scientists. We offer the following AI and ML classes.

You can see more about data analysis, how it can help your career and your organization, and how to start your data science journey on our Data Analysis and Visualization for Career Growth page.

The graphic below shows you the classes we offer, the learning progression, and corresponding certification exams. Click the links in the graphic to go to the course page for more detail.